Grafana + Telegraf + InfluxDB 監控 SQL Server - SQL Server

Posted by: bart30508 | in Devops, SQL Server | 7 months, 3 weeks ago |

一,架構

image

二,配置

1. telegraf

-- InfluxDB Installation
wget https://dl.influxdata.com/influxdb/releases/influxdb2-2.0.8-windows-amd64.zip -UseBasicParsing -OutFile influxdb2-2.0.8-windows-amd64.zip
Expand-Archive .\influxdb2-2.0.8-windows-amd64.zip -DestinationPath 'C:\Program Files\InfluxData\influxdb\'

InfluxDB測試:

image

雙擊(1)啟動influxdb

雙擊(2)啟動influx cli

image

裡面會有預設的資料庫_internal,測試成功。

InfluxDB預設成服務:

  1. 下載NSSM,並解壓縮 :https://nssm.cc/download
  2. 輸入nssm install,在Application Tab依序填入,最後按下install service

D:\Grafana\influxdb-1.8.10_windows_amd64\influxdb-1.8.10-1\influxd.exe

D:\Grafana\influxdb-1.8.10_windows_amd64\influxdb-1.8.10-1 -config "D:\Grafana\influxdb-1.8.10_windows_amd64\influxdb-1.8.10-1\influxdb.conf"

InfluxDB1.8.10

image image

4.啟動服務:sc start InfluxDB1.7.10

5.查詢狀態:sc query InfluxDB1.7.10

image

使用influx cli測試是否可以進入 image

2. telegraf

-- telegraf Installation
wget https://dl.influxdata.com/telegraf/releases/telegraf-1.20.0~rc0_windows_amd64.zip -UseBasicParsing -OutFile telegraf-1.20.0~rc0_windows_amd64.zip 
Expand-Archive .\telegraf-1.20.0~rc0_windows_amd64.zip -DestinationPath 'C:\Users\chenc89\Desktop\jobdata\telegraf'

telegraf測試:

1.新增目標資料庫權限與修改telegraf.conf 加入SQL Server配置(較長,置底)

2.啟動telegraf:telegraf.exe --config telegraf.conf

image

3.檢查influxdb是否產生telegraf db:

image

4.將telegraf設定為service:

telegraf.exe --config "D:\Grafana\telegraf-1.21.4_windows_amd64\telegraf-1.21.4\telegraf.conf" --service install

sc start telegraf

sc query telegraf

image

補充:

  • 刪除Service

    SC STOP shortservicename

    SC DELETE shortservicename

  • "The specified service has been marked for deletion" error

檢查task management, 是否telegraf運行中。

5.查詢influxdb是否有持續寫入資料

USE telegraf
SELECT * FROM system

uptime持續變化,成功!

image

SELECT * from sqlserver_cpu

抓取sql server cpu,成功!

image

3. Graana:

1.解壓縮安裝Grafana(我使用8.2.0)

2.啟動Grafana

image

一樣利用nssm將其grafana作成service,參照influxdb的做法

3.進入登入頁面,port預設3000,帳號密碼預設為admin/admin

4.設定influxdb data source

image

image

5.import dashboard

Dashboard s can be created by themselves or in the open community (thanks to the enthusiastic and selfless tycoons). Here, I use SQL Servers by Jonathan Rioux . The Piechart used in this Dashboard is not preset by Grafana, so you need to install:

# The Host of Grafana is installed, and the service restart takes effect
grafana-cli plugins install grafana-piechart-panel
systemctl restart grafana-server.service

image

6.成功匯入dashboard

image

image

補充:Chronograf也是一個與Grafana類似的Dashborad工具,不過其還可以用來簡單管理InfluxDB,需要也可以自行安裝。

SQL Server 權限

USE master
GO
CREATE LOGIN [telegraf] WITH PASSWORD = N'telegraf', CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF;
GO

CREATE USER [telegraf] FOR LOGIN [telegraf]
GO

GRANT VIEW SERVER STATE TO [telegraf];
GO
GRANT VIEW ANY DEFINITION TO [telegraf];
GO

-- Collection 'Create Event Session' failed : User does not have permission to perform this action. Cannot alter the event session 'SpotlightMonitoring_SGCI1MES2015_3843_sgci1sql2006_sqlserver', because it does not exist or you do not have permission. [15247] Information Monitored Server - SQL Server Collection Execution Failure (Create Event Session)           SGCI1SQL2006        
USE master;
GO

GRANT ALTER ANY EVENT SESSION to [telegraf];
GO

-- Collection 'Statistics' failed : The SELECT permission was denied on the object 'sysalerts', database 'msdb', schema 'dbo'. [229]    Information Monitored Server - SQL Server Collection Execution Failure (Statistics)         SGCI1SQL2006

USE [msdb]
GO
CREATE USER [telegraf] FOR LOGIN [telegraf]
GO

GRANT SELECT
ON dbo.sysalerts
TO telegraf
GO

-- Collection 'Database List (protected)' failed : The SELECT permission was denied on the object 'log_shipping_monitor_primary', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Database List (protected))          SGCI1SQL2006        
-- Collection 'Database List' failed : The SELECT permission was denied on the object 'log_shipping_monitor_primary', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Database List)          SGCI1SQL2006        
-- Collection 'Database List' failed : The SELECT permission was denied on the object 'log_shipping_primary_secondaries', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Database List)          SGCI1SQL2006        
-- Collection 'Database List (protected)' failed : The SELECT permission was denied on the object 'log_shipping_primary_secondaries', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Database List (protected))          SGCI1SQL2006        
-- Collection 'Database List' failed : The SELECT permission was denied on the object 'log_shipping_monitor_secondary', database 'msdb', schema 'dbo'. [229]    Information Monitored Server - SQL Server Collection Execution Failure (Database List)          SGCI1SQL2006        
-- Collection 'Database List (protected)' failed : The SELECT permission was denied on the object 'log_shipping_monitor_secondary', database 'msdb', schema 'dbo'. [229]    Information Monitored Server - SQL Server Collection Execution Failure (Database List (protected))          SGCI1SQL2006        
-- Collection 'Log Shipping Primaries' failed : The SELECT permission was denied on the object 'log_shipping_primary_databases', database 'msdb', schema 'dbo'. [229]   Information Monitored Server - SQL Server Collection Execution Failure (Log Shipping Primaries)         SGCI1SQL2006        
-- Collection 'Log Shipping Secondaries' failed : The SELECT permission was denied on the object 'log_shipping_monitor_secondary', database 'msdb', schema 'dbo'. [229] Information Monitored Server - SQL Server Collection Execution Failure (Log Shipping Secondaries)           SGCI1SQL2006        
-- Collection 'Log Shipping Secondaries' failed : The SELECT permission was denied on the object 'log_shipping_secondary_databases', database 'msdb', schema 'dbo'. [229]   Information Monitored Server - SQL Server Collection Execution Failure (Log Shipping Secondaries)           SGCI1SQL2006

USE msdb
GO

GRANT SELECT
ON dbo.log_shipping_monitor_primary
TO telegraf
GO

GRANT SELECT 
ON dbo.log_shipping_primary_secondaries
TO telegraf
GO

GRANT SELECT 
ON dbo.log_shipping_secondary
TO telegraf
GO

GRANT SELECT
ON dbo.log_shipping_primary_databases
TO telegraf
GO

GRANT SELECT
ON dbo.log_shipping_monitor_secondary
TO telegraf
GO

GRANT SELECT
ON dbo.log_shipping_secondary_databases
TO telegraf
GO

-- Collection 'Log Shipping Secondaries' failed : The SELECT permission was denied on the object 'sysjobs', database 'msdb', schema 'dbo'. [229]    Information Monitored Server - SQL Server Collection Execution Failure (Log Shipping Secondaries)           SGCI1SQL2006        
-- Collection 'Log Shipping Primaries' failed : The SELECT permission was denied on the object 'sysjobs', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Log Shipping Primaries)         SGCI1SQL2006

GRANT SELECT
ON dbo.sysjobs
TO telegraf
GO

-- Collection 'Agent Alert List' failed : The SELECT permission was denied on the object 'sysalerts', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Agent Alert List)           SGCI1SQL2006

GRANT SELECT
ON dbo.sysalerts
TO telegraf
GO


-- Collection 'Agent Jobs Failed' failed : Failed to execute dependent procedure - 'SQLAgentJobList': The EXECUTE permission was denied on the object 'agent_datetime', database 'msdb', schema 'dbo'. The SELECT permission was denied on the object 'sysjobsteps', database 'msdb', schema 'dbo'. The EXECUTE permission was denied on the object 'agent_datetime', database 'msdb', schema 'dbo'. The EXECUTE permission was denied on the object 'agent_datetime', database 'msdb', schema 'dbo'. [229] Information Monitored Server - SQL Server Collection Execution Failure (Agent Jobs Failed)          SGCI1SQL2006        
USE [msdb]
GO

GRANT EXEC
ON dbo.agent_datetime
TO telegraf
GO

-- Collection 'Agent Jobs Failed' failed : Failed to execute dependent procedure - 'SQLAgentJobList': The SELECT permission was denied on the object 'sysjobhistory', database 'msdb', schema 'dbo'. The SELECT permission was denied on the object 'sysjobsteps', database 'msdb', schema 'dbo'. The SELECT permission was denied on the object 'sysjobhistory', database 'msdb', schema 'dbo'. The SELECT permission was denied on the object 'syscategories', database 'msdb', schema 'dbo'. [229]   Information Monitored Server - SQL Server Collection Execution Failure (Agent Jobs Failed)          SGCI1SQL2006

GRANT SELECT
ON dbo.sysjobhistory
TO telegraf
GO

-- Collection 'Alert Failures' failed : The SELECT permission was denied on the object 'sysjobservers', database 'msdb', schema 'dbo'. The SELECT permission was denied on the object 'sysalerts', database 'msdb', schema 'dbo'. [229] Information Monitored Server - SQL Server Collection Execution Failure (Alert Failures)         SGCI1SQL2006

GRANT SELECT
ON dbo.sysjobservers
TO telegraf
GO

-- Collection 'Agent Job List' failed : Error 229, Level 14, State 5, Procedure -, Line 67, Message: The SELECT permission was denied on the object 'syssessions', database 'msdb', schema 'dbo'. [50000]   Information Monitored Server - SQL Server Collection Execution Failure (Agent Job List)         SGCI1SQL2006

USE msdb
GO

GRANT SELECT
ON dbo.syssessions
TO telegraf
GO


-- Collection 'Agent Jobs Failed' failed : Failed to execute dependent procedure - 'SQLAgentJobList': The SELECT permission was denied on the object 'sysjobsteps', database 'msdb', schema 'dbo'. The SELECT permission was denied on the object 'syscategories', database 'msdb', schema 'dbo'. [229] Information Monitored Server - SQL Server Collection Execution Failure (Agent Jobs Failed)          SGCI1SQL2006


GRANT SELECT
ON dbo.sysjobsteps
TO telegraf
GO

-- Collection 'Agent Jobs Failed' failed : Failed to execute dependent procedure - 'SQLAgentJobList': The SELECT permission was denied on the object 'sysjobactivity', database 'msdb', schema 'dbo'. The SELECT permission was denied on the object 'syscategories', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Agent Jobs Failed)          SGCI1SQL2006        
-- Collection 'Agent Job List' failed : Error 229, Level 14, State 5, Procedure -, Line 67, Message: The SELECT permission was denied on the object 'sysjobactivity', database 'msdb', schema 'dbo'. [50000]    Information Monitored Server - SQL Server Collection Execution Failure (Agent Job List)         SGCI1SQL2006

GRANT SELECT
ON dbo.sysjobactivity
TO telegraf
GO

-- Collection 'Agent Jobs Failed' failed : Failed to execute dependent procedure - 'SQLAgentJobList': The SELECT permission was denied on the object 'syscategories', database 'msdb', schema 'dbo'. [229]  Information Monitored Server - SQL Server Collection Execution Failure (Agent Jobs Failed)          SGCI1SQL2006        
-- Collection 'Agent Job List' failed : Error 229, Level 14, State 5, Procedure -, Line 87, Message: The SELECT permission was denied on the object 'syscategories', database 'msdb', schema 'dbo'. [50000] Information Monitored Server - SQL Server Collection Execution Failure (Agent Job List)         SGCI1SQL2006

GRANT SELECT
ON dbo.syscategories
TO telegraf
GO

-- Collection 'Deadlock List' failed : You do not have permission to run 'SP_TRACE_CREATE'. Information Monitored Server - SQL Server Collection Execution Failure (Deadlock List)          SGCI1SQL2006        
USE [master]
GO

GRANT ALTER TRACE TO telegraf
GO


-- Collection 'Agent Job List' failed : Error 229, Level 14, State 5, Procedure xp_sqlagent_enum_jobs, Line 1, Message: The EXECUTE permission was denied on the object 'xp_sqlagent_enum_jobs', database 'mssqlsystemresource', schema 'sys'. [50000]  Information Monitored Server - SQL Server Collection Execution Failure (Agent Job List)         SGCI1SQL2006

-- USE mssqlsystemresource
USE Master
GO

GRANT EXEC
ON dbo.xp_sqlagent_enum_jobs
TO telegraf
GO

-- Collection 'Error Log Scan - Detailed' failed : Failed to execute dependent procedure - 'SQLErrorLogAlarm': The EXECUTE permission was denied on the object 'xp_readerrorlog', database 'mssqlsystemresource', schema 'sys'. [229]   Information Monitored Server - SQL Server Collection Execution Failure (Error Log Scan - Detailed)          SGCI1SQL2006        
-- Collection 'SQL Error Log Alarm' failed : The EXECUTE permission was denied on the object 'xp_readerrorlog', database 'mssqlsystemresource', schema 'sys'. [229] Information Monitored Server - SQL Server Collection Execution Failure (SQL Error Log Alarm)            SGCI1SQL2006

-- USE mssqlsystemresource
USE Master
GO

GRANT EXEC
ON dbo.xp_readerrorlog
TO telegraf
GO

/* Collection 'SQL Virtual Log Files Count' failed : Insufficient privileges to count virtual log files [50000] Information Monitored Server - SQL Server Collection Execution Failure (SQL Virtual Log Files Count)            SGCI1SQL2006        
Collection 'Mirroring' failed : Only members of the sysadmin fixed server role can perform this operation. [21089]  Information Monitored Server - SQL Server Collection Execution Failure (Mirroring)          SGCI1SQL2006

=> Resolution:
SQL Server instance can be monitored by granting the permissions outlined in the above link. As a limitation of SQL Server, the following monitoring functions require sysadmin privileges, hence alarms relating to the below collections will be raised:
    Mirroring
    Number of virtual log files (VLFs)
Use the Alarms feature of Spotlight Cloud Diagnostic app to disable the above alarms on the effected instances.

Collection 'Database Disk Space Utilization' failed : Host data is not available for the 'Database Disk Space Utilization' collection.  Information Monitored Server - SQL Server Collection Execution Failure (Database Disk Space Utilization)            SGCI1SQL2006        
Collection 'Tempdb File Location' failed : Host data is not available for the 'Tempdb File Location' collection.    Information Monitored Server - SQL Server Collection Execution Failure (Tempdb File Location)           SGCI1SQL2006        
=> Resolution:
Establish the OS connection and associate the connection to the SQL Server connection:
1. Open Spotlight Cloud Diagnostic Server app tool
9. Click the Connections icon
10. Select the SQL Server connection and right-click on it to select Properties option
11. Under the OS Details drop down list, select the associated Windows connection. *******If one is not found, click the Create icon to create the Windows connection.**********
12. Click OK to save and close. 
13. Under Connections icon, ensure all Windows are enabled and being monitored. Right-click on the Windows connection name to select 'Enable Monitoring' option. */

telegraf.conf 加入SQL Server配置(覆蓋,並修改你所要監控的資料庫):

# Telegraf Configuration
#
# Telegraf is entirely plugin driven. All metrics are gathered from the
# declared inputs, and sent to the declared outputs.
#
# Plugins must be declared in here to be active.
# To deactivate a plugin, comment out the name and any variables.
#
# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
# file would generate.
#
# Environment variables can be used anywhere in this config file, simply surround
# them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),
# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})


# Global tags can be specified here in key="value" format.
[global_tags]
  # dc = "us-east-1" # will tag all metrics with dc=us-east-1
  # rack = "1a"
  ## Environment variables can be used as tags, and throughout the config file
  # user = "$USER"


# Configuration for telegraf agent
[agent]
  ## Default data collection interval for all inputs
  interval = "10s"
  ## Rounds collection interval to 'interval'
  ## ie, if interval="10s" then always collect on :00, :10, :20, etc.
  round_interval = true

  ## Telegraf will send metrics to outputs in batches of at most
  ## metric_batch_size metrics.
  ## This controls the size of writes that Telegraf sends to output plugins.
  metric_batch_size = 1000

  ## Maximum number of unwritten metrics per output.  Increasing this value
  ## allows for longer periods of output downtime without dropping metrics at the
  ## cost of higher maximum memory usage.
  metric_buffer_limit = 10000

  ## Collection jitter is used to jitter the collection by a random amount.
  ## Each plugin will sleep for a random time within jitter before collecting.
  ## This can be used to avoid many plugins querying things like sysfs at the
  ## same time, which can have a measurable effect on the system.
  collection_jitter = "0s"

  ## Default flushing interval for all outputs. Maximum flush_interval will be
  ## flush_interval + flush_jitter
  flush_interval = "10s"
  ## Jitter the flush interval by a random amount. This is primarily to avoid
  ## large write spikes for users running a large number of telegraf instances.
  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
  flush_jitter = "0s"

  ## By default or when set to "0s", precision will be set to the same
  ## timestamp order as the collection interval, with the maximum being 1s.
  ##   ie, when interval = "10s", precision will be "1s"
  ##       when interval = "250ms", precision will be "1ms"
  ## Precision will NOT be used for service inputs. It is up to each individual
  ## service input to set the timestamp at the appropriate precision.
  ## Valid time units are "ns", "us" (or "μs"), "ms", "s".
  precision = ""

  ## Log at debug level.
  # debug = false
  ## Log only error level messages.
  # quiet = false

  ## Log target controls the destination for logs and can be one of "file",
  ## "stderr" or, on Windows, "eventlog".  When set to "file", the output file
  ## is determined by the "logfile" setting.
  # logtarget = "file"

  ## Name of the file to be logged to when using the "file" logtarget.  If set to
  ## the empty string then logs are written to stderr.
  # logfile = ""

  ## The logfile will be rotated after the time interval specified.  When set
  ## to 0 no time based rotation is performed.  Logs are rotated only when
  ## written to, if there is no log activity rotation may be delayed.
  # logfile_rotation_interval = "0d"

  ## The logfile will be rotated when it becomes larger than the specified
  ## size.  When set to 0 no size based rotation is performed.
  # logfile_rotation_max_size = "0MB"

  ## Maximum number of rotated archives to keep, any older logs are deleted.
  ## If set to -1, no archives are removed.
  # logfile_rotation_max_archives = 5

  ## Pick a timezone to use when logging or type 'local' for local time.
  ## Example: America/Chicago
  # log_with_timezone = ""

  ## Override default hostname, if empty use os.Hostname()
  hostname = ""
  ## If set to true, do no set the "host" tag in the telegraf agent.
  omit_hostname = false


# Read metrics from Microsoft SQL Server
[[inputs.sqlserver]]
  ## Specify instances to monitor with a list of connection strings.
  ## All connection parameters are optional.
  ## By default, the host is localhost, listening on default port, TCP 1433.
  ##   for Windows, the user is the currently running AD user (SSO).
  ##   See https://github.com/denisenkom/go-mssqldb for detailed connection
  ##   parameters, in particular, tls connections can be created like so:
  ##   "encrypt=true;certificate=<cert>;hostNameInCertificate=<SqlServer host fqdn>"
  servers = [
    "Server=xxxxxxxx;Port=1433;User Id=telegraf;Password=telegraf;app name=telegraf;log=1;",
  ]

  ## Authentication method
  ## valid methods: "connection_string", "AAD"
  # auth_method = "connection_string"

  ## "database_type" enables a specific set of queries depending on the database type. If specified, it replaces azuredb = true/false and query_version = 2
  ## In the config file, the sql server plugin section should be repeated each with a set of servers for a specific database_type.
  ## Possible values for database_type are - "SQLServer" or "AzureSQLDB" or "AzureSQLManagedInstance" or "AzureSQLPool"

  database_type = "SQLServer"

  ## A list of queries to include. If not specified, all the below listed queries are used.
  include_query = []

  ## A list of queries to explicitly ignore.
  exclude_query = ["SQLServerAvailabilityReplicaStates", "SQLServerDatabaseReplicaStates"]

  ## Queries enabled by default for database_type = "SQLServer" are - 
  ## SQLServerPerformanceCounters, SQLServerWaitStatsCategorized, SQLServerDatabaseIO, SQLServerProperties, SQLServerMemoryClerks, 
  ## SQLServerSchedulers, SQLServerRequests, SQLServerVolumeSpace, SQLServerCpu, SQLServerAvailabilityReplicaStates, SQLServerDatabaseReplicaStates

  ## Queries enabled by default for database_type = "AzureSQLDB" are - 
  ## AzureSQLDBResourceStats, AzureSQLDBResourceGovernance, AzureSQLDBWaitStats, AzureSQLDBDatabaseIO, AzureSQLDBServerProperties, 
  ## AzureSQLDBOsWaitstats, AzureSQLDBMemoryClerks, AzureSQLDBPerformanceCounters, AzureSQLDBRequests, AzureSQLDBSchedulers

  ## Queries enabled by default for database_type = "AzureSQLManagedInstance" are - 
  ## AzureSQLMIResourceStats, AzureSQLMIResourceGovernance, AzureSQLMIDatabaseIO, AzureSQLMIServerProperties, AzureSQLMIOsWaitstats, 
  ## AzureSQLMIMemoryClerks, AzureSQLMIPerformanceCounters, AzureSQLMIRequests, AzureSQLMISchedulers

  ## Queries enabled by default for database_type = "AzureSQLPool" are - 
  ## AzureSQLPoolResourceStats, AzureSQLPoolResourceGovernance, AzureSQLPoolDatabaseIO, AzureSQLPoolWaitStats, 
  ## AzureSQLPoolMemoryClerks, AzureSQLPoolPerformanceCounters, AzureSQLPoolSchedulers

  ## Following are old config settings
  ## You may use them only if you are using the earlier flavor of queries, however it is recommended to use 
  ## the new mechanism of identifying the database_type there by use it's corresponding queries

  ## Optional parameter, setting this to 2 will use a new version
  ## of the collection queries that break compatibility with the original
  ## dashboards.
  ## Version 2 - is compatible from SQL Server 2012 and later versions and also for SQL Azure DB
  # query_version = 2

  ## If you are using AzureDB, setting this to true will gather resource utilization metrics
  # azuredb = false

  ## Toggling this to true will emit an additional metric called "sqlserver_telegraf_health". 
  ## This metric tracks the count of attempted queries and successful queries for each SQL instance specified in "servers". 
  ## The purpose of this metric is to assist with identifying and diagnosing any connectivity or query issues. 
  ## This setting/metric is optional and is disabled by default.
  # health_metric = false

  ## Possible queries accross different versions of the collectors
  ## Queries enabled by default for specific Database Type

  ## database_type =  AzureSQLDB  by default collects the following queries
  ## - AzureSQLDBWaitStats
  ## - AzureSQLDBResourceStats 
  ## - AzureSQLDBResourceGovernance
  ## - AzureSQLDBDatabaseIO
  ## - AzureSQLDBServerProperties
  ## - AzureSQLDBOsWaitstats
  ## - AzureSQLDBMemoryClerks
  ## - AzureSQLDBPerformanceCounters
  ## - AzureSQLDBRequests
  ## - AzureSQLDBSchedulers

  ## database_type =  AzureSQLManagedInstance by default collects the following queries
  ## - AzureSQLMIResourceStats 
  ## - AzureSQLMIResourceGovernance 
  ## - AzureSQLMIDatabaseIO 
  ## - AzureSQLMIServerProperties 
  ## - AzureSQLMIOsWaitstats 
  ## - AzureSQLMIMemoryClerks
  ## - AzureSQLMIPerformanceCounters
  ## - AzureSQLMIRequests
  ## - AzureSQLMISchedulers

  ## database_type =  AzureSQLPool by default collects the following queries
  ## - AzureSQLPoolResourceStats
  ## - AzureSQLPoolResourceGovernance
  ## - AzureSQLPoolDatabaseIO
  ## - AzureSQLPoolOsWaitStats, 
  ## - AzureSQLPoolMemoryClerks
  ## - AzureSQLPoolPerformanceCounters
  ## - AzureSQLPoolSchedulers

  ## database_type =  SQLServer by default collects the following queries
  ## - SQLServerPerformanceCounters 
  ## - SQLServerWaitStatsCategorized 
  ## - SQLServerDatabaseIO 
  ## - SQLServerProperties 
  ## - SQLServerMemoryClerks 
  ## - SQLServerSchedulers
  ## - SQLServerRequests
  ## - SQLServerVolumeSpace
  ## - SQLServerCpu
  ## and following as optional (if mentioned in the include_query list)
  ## - SQLServerAvailabilityReplicaStates
  ## - SQLServerDatabaseReplicaStates

  ## Version 2 by default collects the following queries
  ## Version 2 is being deprecated, please consider using database_type.
  ## - PerformanceCounters
  ## - WaitStatsCategorized
  ## - DatabaseIO
  ## - ServerProperties
  ## - MemoryClerk
  ## - Schedulers
  ## - SqlRequests
  ## - VolumeSpace
  ## - Cpu

  ## Version 1 by default collects the following queries
  ## Version 1 is deprecated, please consider using database_type.
  ## - PerformanceCounters
  ## - WaitStatsCategorized
  ## - CPUHistory
  ## - DatabaseIO
  ## - DatabaseSize
  ## - DatabaseStats
  ## - DatabaseProperties
  ## - MemoryClerk
  ## - VolumeSpace
  ## - PerformanceMetrics

###############################################################################
#                            OUTPUT PLUGINS                                   #
###############################################################################


# Configuration for sending metrics to InfluxDB
[[outputs.influxdb]]
  ## The full HTTP or UDP URL for your InfluxDB instance.
  ##
  ## Multiple URLs can be specified for a single cluster, only ONE of the
  ## urls will be written to each interval.
  # urls = ["unix:///var/run/influxdb.sock"]
  # urls = ["udp://127.0.0.1:8089"]
  # urls = ["http://127.0.0.1:8086"]

  ## The target database for metrics; will be created as needed.
  ## For UDP url endpoint database needs to be configured on server side.
  # database = "telegraf"

  ## The value of this tag will be used to determine the database.  If this
  ## tag is not set the 'database' option is used as the default.
  # database_tag = ""

  ## If true, the 'database_tag' will not be included in the written metric.
  # exclude_database_tag = false

  ## If true, no CREATE DATABASE queries will be sent.  Set to true when using
  ## Telegraf with a user without permissions to create databases or when the
  ## database already exists.
  # skip_database_creation = false

  ## Name of existing retention policy to write to.  Empty string writes to
  ## the default retention policy.  Only takes effect when using HTTP.
  # retention_policy = ""

  ## The value of this tag will be used to determine the retention policy.  If this
  ## tag is not set the 'retention_policy' option is used as the default.
  # retention_policy_tag = ""

  ## If true, the 'retention_policy_tag' will not be included in the written metric.
  # exclude_retention_policy_tag = false

  ## Write consistency (clusters only), can be: "any", "one", "quorum", "all".
  ## Only takes effect when using HTTP.
  # write_consistency = "any"

  ## Timeout for HTTP messages.
  # timeout = "5s"

  ## HTTP Basic Auth
  # username = "telegraf"
  # password = "metricsmetricsmetricsmetrics"

  ## HTTP User-Agent
  # user_agent = "telegraf"

  ## UDP payload size is the maximum packet size to send.
  # udp_payload = "512B"

  ## Optional TLS Config for use on HTTP connections.
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

  ## HTTP Proxy override, if unset values the standard proxy environment
  ## variables are consulted to determine which proxy, if any, should be used.
  # http_proxy = "http://corporate.proxy:3128"

  ## Additional HTTP headers
  # http_headers = {"X-Special-Header" = "Special-Value"}

  ## HTTP Content-Encoding for write request body, can be set to "gzip" to
  ## compress body or "identity" to apply no encoding.
  # content_encoding = "gzip"

  ## When true, Telegraf will output unsigned integers as unsigned values,
  ## i.e.: "42u".  You will need a version of InfluxDB supporting unsigned
  ## integer values.  Enabling this option will result in field type errors if
  ## existing data has been written.
  # influx_uint_support = false


# # Configuration for Amon Server to send metrics to.
# [[outputs.amon]]
#   ## Amon Server Key
#   server_key = "my-server-key" # required.
#
#   ## Amon Instance URL
#   amon_instance = "https://youramoninstance" # required
#
#   ## Connection timeout.
#   # timeout = "5s"


# # Publishes metrics to an AMQP broker
# [[outputs.amqp]]
#   ## Broker to publish to.
#   ##   deprecated in 1.7; use the brokers option
#   # url = "amqp://localhost:5672/influxdb"
#
#   ## Brokers to publish to.  If multiple brokers are specified a random broker
#   ## will be selected anytime a connection is established.  This can be
#   ## helpful for load balancing when not using a dedicated load balancer.
#   brokers = ["amqp://localhost:5672/influxdb"]
#
#   ## Maximum messages to send over a connection.  Once this is reached, the
#   ## connection is closed and a new connection is made.  This can be helpful for
#   ## load balancing when not using a dedicated load balancer.
#   # max_messages = 0
#
#   ## Exchange to declare and publish to.
#   exchange = "telegraf"
#
#   ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
#   # exchange_type = "topic"
#
#   ## If true, exchange will be passively declared.
#   # exchange_passive = false
#
#   ## Exchange durability can be either "transient" or "durable".
#   # exchange_durability = "durable"
#
#   ## Additional exchange arguments.
#   # exchange_arguments = { }
#   # exchange_arguments = {"hash_property" = "timestamp"}
#
#   ## Authentication credentials for the PLAIN auth_method.
#   # username = ""
#   # password = ""
#
#   ## Auth method. PLAIN and EXTERNAL are supported
#   ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
#   ## described here: https://www.rabbitmq.com/plugins.html
#   # auth_method = "PLAIN"
#
#   ## Metric tag to use as a routing key.
#   ##   ie, if this tag exists, its value will be used as the routing key
#   # routing_tag = "host"
#
#   ## Static routing key.  Used when no routing_tag is set or as a fallback
#   ## when the tag specified in routing tag is not found.
#   # routing_key = ""
#   # routing_key = "telegraf"
#
#   ## Delivery Mode controls if a published message is persistent.
#   ##   One of "transient" or "persistent".
#   # delivery_mode = "transient"
#
#   ## InfluxDB database added as a message header.
#   ##   deprecated in 1.7; use the headers option
#   # database = "telegraf"
#
#   ## InfluxDB retention policy added as a message header
#   ##   deprecated in 1.7; use the headers option
#   # retention_policy = "default"
#
#   ## Static headers added to each published message.
#   # headers = { }
#   # headers = {"database" = "telegraf", "retention_policy" = "default"}
#
#   ## Connection timeout.  If not provided, will default to 5s.  0s means no
#   ## timeout (not recommended).
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## If true use batch serialization format instead of line based delimiting.
#   ## Only applies to data formats which are not line based such as JSON.
#   ## Recommended to set to true.
#   # use_batch_format = false
#
#   ## Content encoding for message payloads, can be set to "gzip" to or
#   ## "identity" to apply no encoding.
#   ##
#   ## Please note that when use_batch_format = false each amqp message contains only
#   ## a single metric, it is recommended to use compression with batch format
#   ## for best results.
#   # content_encoding = "identity"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"


# # Send metrics to Azure Application Insights
# [[outputs.application_insights]]
#   ## Instrumentation key of the Application Insights resource.
#   instrumentation_key = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxx"
#
#   ## Regions that require endpoint modification https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-endpoints
#   # endpoint_url = "https://dc.services.visualstudio.com/v2/track"
#
#   ## Timeout for closing (default: 5s).
#   # timeout = "5s"
#
#   ## Enable additional diagnostic logging.
#   # enable_diagnostic_logging = false
#
#   ## Context Tag Sources add Application Insights context tags to a tag value.
#   ##
#   ## For list of allowed context tag keys see:
#   ## https://github.com/microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go
#   # [outputs.application_insights.context_tag_sources]
#   #   "ai.cloud.role" = "kubernetes_container_name"
#   #   "ai.cloud.roleInstance" = "kubernetes_pod_name"


# # Sends metrics to Azure Data Explorer
# [[outputs.azure_data_explorer]]
#   ## Azure Data Exlorer cluster endpoint
#   ## ex: endpoint_url = "https://clustername.australiasoutheast.kusto.windows.net"
#   endpoint_url = ""
#
#   ## The Azure Data Explorer database that the metrics will be ingested into.
#   ## The plugin will NOT generate this database automatically, it's expected that this database already exists before ingestion.
#   ## ex: "exampledatabase"
#   database = ""
#
#   ## Timeout for Azure Data Explorer operations
#   # timeout = "20s"
#
#   ## Type of metrics grouping used when pushing to Azure Data Explorer.
#   ## Default is "TablePerMetric" for one table per different metric.
#   ## For more information, please check the plugin README.
#   # metrics_grouping_type = "TablePerMetric"
#
#   ## Name of the single table to store all the metrics (Only needed if metrics_grouping_type is "SingleTable").
#   # table_name = ""
#


# # Send aggregate metrics to Azure Monitor
# [[outputs.azure_monitor]]
#   ## Timeout for HTTP writes.
#   # timeout = "20s"
#
#   ## Set the namespace prefix, defaults to "Telegraf/<input-name>".
#   # namespace_prefix = "Telegraf/"
#
#   ## Azure Monitor doesn't have a string value type, so convert string
#   ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows
#   ## a maximum of 10 dimensions so Telegraf will only send the first 10
#   ## alphanumeric dimensions.
#   # strings_as_dimensions = false
#
#   ## Both region and resource_id must be set or be available via the
#   ## Instance Metadata service on Azure Virtual Machines.
#   #
#   ## Azure Region to publish metrics against.
#   ##   ex: region = "southcentralus"
#   # region = ""
#   #
#   ## The Azure Resource ID against which metric will be logged, e.g.
#   ##   ex: resource_id = "/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.Compute/virtualMachines/<vm_name>"
#   # resource_id = ""
#
#   ## Optionally, if in Azure US Government, China or other sovereign
#   ## cloud environment, set appropriate REST endpoint for receiving
#   ## metrics. (Note: region may be unused in this context)
#   # endpoint_url = "https://monitoring.core.usgovcloudapi.net"


# # Publish Telegraf metrics to a Google Cloud PubSub topic
# [[outputs.cloud_pubsub]]
#   ## Required. Name of Google Cloud Platform (GCP) Project that owns
#   ## the given PubSub topic.
#   project = "my-project"
#
#   ## Required. Name of PubSub topic to publish metrics to.
#   topic = "my-topic"
#
#   ## Required. Data format to consume.
#   ## Each data format has its own unique set of configuration options.
#   ## Read more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Optional. Filepath for GCP credentials JSON file to authorize calls to
#   ## PubSub APIs. If not set explicitly, Telegraf will attempt to use
#   ## Application Default Credentials, which is preferred.
#   # credentials_file = "path/to/my/creds.json"
#
#   ## Optional. If true, will send all metrics per write in one PubSub message.
#   # send_batched = true
#
#   ## The following publish_* parameters specifically configures batching
#   ## requests made to the GCP Cloud PubSub API via the PubSub Golang library. Read
#   ## more here: https://godoc.org/cloud.google.com/go/pubsub#PublishSettings
#
#   ## Optional. Send a request to PubSub (i.e. actually publish a batch)
#   ## when it has this many PubSub messages. If send_batched is true,
#   ## this is ignored and treated as if it were 1.
#   # publish_count_threshold = 1000
#
#   ## Optional. Send a request to PubSub (i.e. actually publish a batch)
#   ## when it has this many PubSub messages. If send_batched is true,
#   ## this is ignored and treated as if it were 1
#   # publish_byte_threshold = 1000000
#
#   ## Optional. Specifically configures requests made to the PubSub API.
#   # publish_num_go_routines = 2
#
#   ## Optional. Specifies a timeout for requests to the PubSub API.
#   # publish_timeout = "30s"
#
#   ## Optional. If true, published PubSub message data will be base64-encoded.
#   # base64_data = false
#
#   ## Optional. PubSub attributes to add to metrics.
#   # [outputs.cloud_pubsub.attributes]
#   #   my_attr = "tag_value"


# # Configuration for AWS CloudWatch output.
# [[outputs.cloudwatch]]
#   ## Amazon REGION
#   region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Namespace for the CloudWatch MetricDatums
#   namespace = "InfluxData/Telegraf"
#
#   ## If you have a large amount of metrics, you should consider to send statistic
#   ## values instead of raw metrics which could not only improve performance but
#   ## also save AWS API cost. If enable this flag, this plugin would parse the required
#   ## CloudWatch statistic fields (count, min, max, and sum) and send them to CloudWatch.
#   ## You could use basicstats aggregator to calculate those fields. If not all statistic
#   ## fields are available, all fields would still be sent as raw metrics.
#   # write_statistics = false
#
#   ## Enable high resolution metrics of 1 second (if not enabled, standard resolution are of 60 seconds precision)
#   # high_resolution_metrics = false


# # Configuration for AWS CloudWatchLogs output.
# [[outputs.cloudwatch_logs]]
# ## The region is the Amazon region that you wish to connect to.
# ## Examples include but are not limited to:
# ## - us-west-1
# ## - us-west-2
# ## - us-east-1
# ## - ap-southeast-1
# ## - ap-southeast-2
# ## ...
# region = "us-east-1"
#
# ## Amazon Credentials
# ## Credentials are loaded in the following order
# ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #web_identity_token_file = ""
# #role_session_name = ""
# #profile = ""
# #shared_credential_file = ""
#
# ## Endpoint to make request against, the correct endpoint is automatically
# ## determined and this option should only be set if you wish to override the
# ## default.
# ##   ex: endpoint_url = "http://localhost:8000"
# # endpoint_url = ""
#
# ## Cloud watch log group. Must be created in AWS cloudwatch logs upfront!
# ## For example, you can specify the name of the k8s cluster here to group logs from all cluster in oine place
# log_group = "my-group-name"
#
# ## Log stream in log group
# ## Either log group name or reference to metric attribute, from which it can be parsed:
# ## tag:<TAG_NAME> or field:<FIELD_NAME>. If log stream is not exist, it will be created.
# ## Since AWS is not automatically delete logs streams with expired logs entries (i.e. empty log stream)
# ## you need to put in place appropriate house-keeping (https://forums.aws.amazon.com/thread.jspa?threadID=178855)
# log_stream = "tag:location"
#
# ## Source of log data - metric name
# ## specify the name of the metric, from which the log data should be retrieved.
# ## I.e., if you  are using docker_log plugin to stream logs from container, then
# ## specify log_data_metric_name  = "docker_log"
# log_data_metric_name  = "docker_log"
#
# ## Specify from which metric attribute the log data should be retrieved:
# ## tag:<TAG_NAME> or field:<FIELD_NAME>.
# ## I.e., if you  are using docker_log plugin to stream logs from container, then
# ## specify log_data_source  = "field:message"
# log_data_source  = "field:message"


# # Configuration for CrateDB to send metrics to.
# [[outputs.cratedb]]
#   # A github.com/jackc/pgx/v4 connection string.
#   # See https://pkg.go.dev/github.com/jackc/pgx/v4#ParseConfig
#   url = "postgres://user:password@localhost/schema?sslmode=disable"
#   # Timeout for all CrateDB queries.
#   timeout = "5s"
#   # Name of the table to store metrics in.
#   table = "metrics"
#   # If true, and the metrics table does not exist, create it automatically.
#   table_create = true
#   # The character(s) to replace any '.' in an object key with
#   key_separator = "_"


# # Configuration for DataDog API to send metrics to.
# [[outputs.datadog]]
#   ## Datadog API key
#   apikey = "my-secret-key"
#
#   ## Connection timeout.
#   # timeout = "5s"
#
#   ## Write URL override; useful for debugging.
#   # url = "https://app.datadoghq.com/api/v1/series"
#
#   ## Set http_proxy (telegraf uses the system wide proxy settings if it isn't set)
#   # http_proxy_url = "http://localhost:8888"


# # Send metrics to nowhere at all
# [[outputs.discard]]
#   # no configuration


# # Send telegraf metrics to a Dynatrace environment
# [[outputs.dynatrace]]
#   ## For usage with the Dynatrace OneAgent you can omit any configuration,
#   ## the only requirement is that the OneAgent is running on the same host.
#   ## Only setup environment url and token if you want to monitor a Host without the OneAgent present.
#   ##
#   ## Your Dynatrace environment URL.
#   ## For Dynatrace OneAgent you can leave this empty or set it to "http://127.0.0.1:14499/metrics/ingest" (default)
#   ## For Dynatrace SaaS environments the URL scheme is "https://{your-environment-id}.live.dynatrace.com/api/v2/metrics/ingest"
#   ## For Dynatrace Managed environments the URL scheme is "https://{your-domain}/e/{your-environment-id}/api/v2/metrics/ingest"
#   url = ""
#
#   ## Your Dynatrace API token.
#   ## Create an API token within your Dynatrace environment, by navigating to Settings > Integration > Dynatrace API
#   ## The API token needs data ingest scope permission. When using OneAgent, no API token is required.
#   api_token = ""
#
#   ## Optional prefix for metric names (e.g.: "telegraf")
#   prefix = "telegraf"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional flag for ignoring tls certificate check
#   # insecure_skip_verify = false
#
#
#   ## Connection timeout, defaults to "5s" if not set.
#   timeout = "5s"
#
#   ## If you want metrics to be treated and reported as delta counters, add the metric names here
#   additional_counters = [ ]
#
#   ## Optional dimensions to be added to every metric
#   # [outputs.dynatrace.default_dimensions]
#   # default_key = "default value"


# # Configuration for Elasticsearch to send metrics to.
# [[outputs.elasticsearch]]
#   ## The full HTTP endpoint URL for your Elasticsearch instance
#   ## Multiple urls can be specified as part of the same cluster,
#   ## this means that only ONE of the urls will be written to each interval.
#   urls = [ "http://node1.es.example.com:9200" ] # required.
#   ## Elasticsearch client timeout, defaults to "5s" if not set.
#   timeout = "5s"
#   ## Set to true to ask Elasticsearch a list of all cluster nodes,
#   ## thus it is not necessary to list all nodes in the urls config option.
#   enable_sniffer = false
#   ## Set to true to enable gzip compression
#   enable_gzip = false
#   ## Set the interval to check if the Elasticsearch nodes are available
#   ## Setting to "0s" will disable the health check (not recommended in production)
#   health_check_interval = "10s"
#   ## HTTP basic authentication details
#   # username = "telegraf"
#   # password = "mypassword"
#
#   ## Index Config
#   ## The target index for metrics (Elasticsearch will create if it not exists).
#   ## You can use the date specifiers below to create indexes per time frame.
#   ## The metric timestamp will be used to decide the destination index name
#   # %Y - year (2016)
#   # %y - last two digits of year (00..99)
#   # %m - month (01..12)
#   # %d - day of month (e.g., 01)
#   # %H - hour (00..23)
#   # %V - week of the year (ISO week) (01..53)
#   ## Additionally, you can specify a tag name using the notation {{tag_name}}
#   ## which will be used as part of the index name. If the tag does not exist,
#   ## the default tag value will be used.
#   # index_name = "telegraf-{{host}}-%Y.%m.%d"
#   # default_tag_value = "none"
#   index_name = "telegraf-%Y.%m.%d" # required.
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Template Config
#   ## Set to true if you want telegraf to manage its index template.
#   ## If enabled it will create a recommended index template for telegraf indexes
#   manage_template = true
#   ## The template name used for telegraf indexes
#   template_name = "telegraf"
#   ## Set to true if you want telegraf to overwrite an existing template
#   overwrite_template = false
#   ## If set to true a unique ID hash will be sent as sha256(concat(timestamp,measurement,series-hash)) string
#   ## it will enable data resend and update metric points avoiding duplicated metrics with diferent id's
#   force_document_id = false


# # Send metrics to command as input over stdin
# [[outputs.exec]]
#   ## Command to ingest metrics via stdin.
#   command = ["tee", "-a", "/dev/null"]
#
#   ## Timeout for command to complete.
#   # timeout = "5s"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"


# # Run executable as long-running output plugin
# [[outputs.execd]]
#   ## Program to run as daemon
#   command = ["my-telegraf-output", "--some-flag", "value"]
#
#   ## Delay before the process is restarted after an unexpected termination
#   restart_delay = "10s"
#
#   ## Data format to export.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"


# # Send telegraf metrics to file(s)
# [[outputs.file]]
#   ## Files to write to, "stdout" is a specially handled file.
#   files = ["stdout", "/tmp/metrics.out"]
#
#   ## Use batch serialization format instead of line based delimiting.  The
#   ## batch format allows for the production of non line based output formats and
#   ## may more efficiently encode metric groups.
#   # use_batch_format = false
#
#   ## The file will be rotated after the time interval specified.  When set
#   ## to 0 no time based rotation is performed.
#   # rotation_interval = "0d"
#
#   ## The logfile will be rotated when it becomes larger than the specified
#   ## size.  When set to 0 no size based rotation is performed.
#   # rotation_max_size = "0MB"
#
#   ## Maximum number of rotated archives to keep, any older logs are deleted.
#   ## If set to -1, no archives are removed.
#   # rotation_max_archives = 5
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"


# # Configuration for Graphite server to send metrics to
# [[outputs.graphite]]
#   ## TCP endpoint for your graphite instance.
#   ## If multiple endpoints are configured, output will be load balanced.
#   ## Only one of the endpoints will be written to with each iteration.
#   servers = ["localhost:2003"]
#   ## Prefix metrics name
#   prefix = ""
#   ## Graphite output template
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   template = "host.tags.measurement.field"
#
#   ## Enable Graphite tags support
#   # graphite_tag_support = false
#
#   ## Define how metric names and tags are sanitized; options are "strict", or "compatible"
#   ## strict - Default method, and backwards compatible with previous versionf of Telegraf
#   ## compatible - More relaxed sanitizing when using tags, and compatible with the graphite spec
#   # graphite_tag_sanitize_mode = "strict"
#
#   ## Character for separating metric name and field for Graphite tags
#   # graphite_separator = "."
#
#   ## Graphite templates patterns
#   ## 1. Template for cpu
#   ## 2. Template for disk*
#   ## 3. Default template
#   # templates = [
#   #  "cpu tags.measurement.host.field",
#   #  "disk* measurement.field",
#   #  "host.measurement.tags.field"
#   #]
#
#   ## timeout in seconds for the write connection to graphite
#   timeout = 2
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Send telegraf metrics to graylog
# [[outputs.graylog]]
#   ## Endpoints for your graylog instances.
#   servers = ["udp://127.0.0.1:12201"]
#
#   ## Connection timeout.
#   # timeout = "5s"
#
#   ## The field to use as the GELF short_message, if unset the static string
#   ## "telegraf" will be used.
#   ##   example: short_message_field = "message"
#   # short_message_field = ""


# # Configurable HTTP health check resource based on metrics
# [[outputs.health]]
#   ## Address and port to listen on.
#   ##   ex: service_address = "http://localhost:8080"
#   ##       service_address = "unix:///var/run/telegraf-health.sock"
#   # service_address = "http://:8080"
#
#   ## The maximum duration for reading the entire request.
#   # read_timeout = "5s"
#   ## The maximum duration for writing the entire response.
#   # write_timeout = "5s"
#
#   ## Username and password to accept for HTTP basic authentication.
#   # basic_username = "user1"
#   # basic_password = "secret"
#
#   ## Allowed CA certificates for client certificates.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## TLS server certificate and private key.
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## One or more check sub-tables should be defined, it is also recommended to
#   ## use metric filtering to limit the metrics that flow into this output.
#   ##
#   ## When using the default buffer sizes, this example will fail when the
#   ## metric buffer is half full.
#   ##
#   ## namepass = ["internal_write"]
#   ## tagpass = { output = ["influxdb"] }
#   ##
#   ## [[outputs.health.compares]]
#   ##   field = "buffer_size"
#   ##   lt = 5000.0
#   ##
#   ## [[outputs.health.contains]]
#   ##   field = "buffer_size"


# # A plugin that can transmit metrics over HTTP
# [[outputs.http]]
#   ## URL is the address to send metrics to
#   url = "http://127.0.0.1:8080/telegraf"
#
#   ## Timeout for HTTP message
#   # timeout = "5s"
#
#   ## HTTP method, one of: "POST" or "PUT"
#   # method = "POST"
#
#   ## HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## OAuth2 Client Credentials Grant
#   # client_id = "clientid"
#   # client_secret = "secret"
#   # token_url = "https://indentityprovider/oauth2/v1/token"
#   # scopes = ["urn:opc:idm:__myscopes__"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional Cookie authentication
#   # cookie_auth_url = "https://localhost/authMe"
#   # cookie_auth_method = "POST"
#   # cookie_auth_username = "username"
#   # cookie_auth_password = "pa$$word"
#   # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
#   ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
#   # cookie_auth_renewal = "5m"
#
#   ## Data format to output.
#   ## Each data format has it's own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"
#
#   ## HTTP Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## Additional HTTP headers
#   # [outputs.http.headers]
#   #   # Should be set manually to "application/json" for json data_format
#   #   Content-Type = "text/plain; charset=utf-8"
#
#   ## Idle (keep-alive) connection timeout.
#   ## Maximum amount of time before idle connection is closed.
#   ## Zero means no limit.
#   # idle_conn_timeout = 0


# # Configuration for sending metrics to InfluxDB
# [[outputs.influxdb_v2]]
#   ## The URLs of the InfluxDB cluster nodes.
#   ##
#   ## Multiple URLs can be specified for a single cluster, only ONE of the
#   ## urls will be written to each interval.
#   ##   ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
#   urls = ["http://127.0.0.1:8086"]
#
#   ## Token for authentication.
#   token = ""
#
#   ## Organization is the name of the organization you wish to write to; must exist.
#   organization = ""
#
#   ## Destination bucket to write into.
#   bucket = ""
#
#   ## The value of this tag will be used to determine the bucket.  If this
#   ## tag is not set the 'bucket' option is used as the default.
#   # bucket_tag = ""
#
#   ## If true, the bucket tag will not be added to the metric.
#   # exclude_bucket_tag = false
#
#   ## Timeout for HTTP messages.
#   # timeout = "5s"
#
#   ## Additional HTTP headers
#   # http_headers = {"X-Special-Header" = "Special-Value"}
#
#   ## HTTP Proxy override, if unset values the standard proxy environment
#   ## variables are consulted to determine which proxy, if any, should be used.
#   # http_proxy = "http://corporate.proxy:3128"
#
#   ## HTTP User-Agent
#   # user_agent = "telegraf"
#
#   ## Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "gzip"
#
#   ## Enable or disable uint support for writing uints influxdb 2.0.
#   # influx_uint_support = false
#
#   ## Optional TLS Config for use on HTTP connections.
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Configuration for sending metrics to an Instrumental project
# [[outputs.instrumental]]
#   ## Project API Token (required)
#   api_token = "API Token" # required
#   ## Prefix the metrics with a given name
#   prefix = ""
#   ## Stats output template (Graphite formatting)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   template = "host.tags.measurement.field"
#   ## Timeout in seconds to connect
#   timeout = "2s"
#   ## Display Communication to Instrumental
#   debug = false


# # Configuration for the Kafka server to send metrics to
# [[outputs.kafka]]
#   ## URLs of kafka brokers
#   brokers = ["localhost:9092"]
#   ## Kafka topic for producer messages
#   topic = "telegraf"
#
#   ## The value of this tag will be used as the topic.  If not set the 'topic'
#   ## option is used.
#   # topic_tag = ""
#
#   ## If true, the 'topic_tag' will be removed from to the metric.
#   # exclude_topic_tag = false
#
#   ## Optional Client id
#   # client_id = "Telegraf"
#
#   ## Set the minimal supported Kafka version.  Setting this enables the use of new
#   ## Kafka features and APIs.  Of particular interest, lz4 compression
#   ## requires at least version 0.10.0.0.
#   ##   ex: version = "1.1.0"
#   # version = ""
#
#   ## Optional topic suffix configuration.
#   ## If the section is omitted, no suffix is used.
#   ## Following topic suffix methods are supported:
#   ##   measurement - suffix equals to separator + measurement's name
#   ##   tags        - suffix equals to separator + specified tags' values
#   ##                 interleaved with separator
#
#   ## Suffix equals to "_" + measurement name
#   # [outputs.kafka.topic_suffix]
#   #   method = "measurement"
#   #   separator = "_"
#
#   ## Suffix equals to "__" + measurement's "foo" tag value.
#   ##   If there's no such a tag, suffix equals to an empty string
#   # [outputs.kafka.topic_suffix]
#   #   method = "tags"
#   #   keys = ["foo"]
#   #   separator = "__"
#
#   ## Suffix equals to "_" + measurement's "foo" and "bar"
#   ##   tag values, separated by "_". If there is no such tags,
#   ##   their values treated as empty strings.
#   # [outputs.kafka.topic_suffix]
#   #   method = "tags"
#   #   keys = ["foo", "bar"]
#   #   separator = "_"
#
#   ## The routing tag specifies a tagkey on the metric whose value is used as
#   ## the message key.  The message key is used to determine which partition to
#   ## send the message to.  This tag is prefered over the routing_key option.
#   routing_tag = "host"
#
#   ## The routing key is set as the message key and used to determine which
#   ## partition to send the message to.  This value is only used when no
#   ## routing_tag is set or as a fallback when the tag specified in routing tag
#   ## is not found.
#   ##
#   ## If set to "random", a random value will be generated for each message.
#   ##
#   ## When unset, no message key is added and each message is routed to a random
#   ## partition.
#   ##
#   ##   ex: routing_key = "random"
#   ##       routing_key = "telegraf"
#   # routing_key = ""
#
#   ## Compression codec represents the various compression codecs recognized by
#   ## Kafka in messages.
#   ##  0 : None
#   ##  1 : Gzip
#   ##  2 : Snappy
#   ##  3 : LZ4
#   ##  4 : ZSTD
#   # compression_codec = 0
#
#   ## Idempotent Writes
#   ## If enabled, exactly one copy of each message is written.
#   # idempotent_writes = false
#
#   ##  RequiredAcks is used in Produce Requests to tell the broker how many
#   ##  replica acknowledgements it must see before responding
#   ##   0 : the producer never waits for an acknowledgement from the broker.
#   ##       This option provides the lowest latency but the weakest durability
#   ##       guarantees (some data will be lost when a server fails).
#   ##   1 : the producer gets an acknowledgement after the leader replica has
#   ##       received the data. This option provides better durability as the
#   ##       client waits until the server acknowledges the request as successful
#   ##       (only messages that were written to the now-dead leader but not yet
#   ##       replicated will be lost).
#   ##   -1: the producer gets an acknowledgement after all in-sync replicas have
#   ##       received the data. This option provides the best durability, we
#   ##       guarantee that no messages will be lost as long as at least one in
#   ##       sync replica remains.
#   # required_acks = -1
#
#   ## The maximum number of times to retry sending a metric before failing
#   ## until the next flush.
#   # max_retry = 3
#
#   ## The maximum permitted size of a message. Should be set equal to or
#   ## smaller than the broker's 'message.max.bytes'.
#   # max_message_bytes = 1000000
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional SASL Config
#   # sasl_username = "kafka"
#   # sasl_password = "secret"
#
#   ## Optional SASL:
#   ## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI
#   ## (defaults to PLAIN)
#   # sasl_mechanism = ""
#
#   ## used if sasl_mechanism is GSSAPI (experimental)
#   # sasl_gssapi_service_name = ""
#   # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
#   # sasl_gssapi_auth_type = "KRB5_USER_AUTH"
#   # sasl_gssapi_kerberos_config_path = "/"
#   # sasl_gssapi_realm = "realm"
#   # sasl_gssapi_key_tab_path = ""
#   # sasl_gssapi_disable_pafxfast = false
#
#   ## used if sasl_mechanism is OAUTHBEARER (experimental)
#   # sasl_access_token = ""
#
#   ## SASL protocol version.  When connecting to Azure EventHub set to 0.
#   # sasl_version = 1
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"


# # Configuration for the AWS Kinesis output.
# [[outputs.kinesis]]
#   ## Amazon REGION of kinesis endpoint.
#   region = "ap-southeast-2"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Kinesis StreamName must exist prior to starting telegraf.
#   streamname = "StreamName"
#   ## DEPRECATED: PartitionKey as used for sharding data.
#   partitionkey = "PartitionKey"
#   ## DEPRECATED: If set the partitionKey will be a random UUID on every put.
#   ## This allows for scaling across multiple shards in a stream.
#   ## This will cause issues with ordering.
#   use_random_partitionkey = false
#   ## The partition key can be calculated using one of several methods:
#   ##
#   ## Use a static value for all writes:
#   #  [outputs.kinesis.partition]
#   #    method = "static"
#   #    key = "howdy"
#   #
#   ## Use a random partition key on each write:
#   #  [outputs.kinesis.partition]
#   #    method = "random"
#   #
#   ## Use the measurement name as the partition key:
#   #  [outputs.kinesis.partition]
#   #    method = "measurement"
#   #
#   ## Use the value of a tag for all writes, if the tag is not set the empty
#   ## default option will be used. When no default, defaults to "telegraf"
#   #  [outputs.kinesis.partition]
#   #    method = "tag"
#   #    key = "host"
#   #    default = "mykey"
#
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"
#
#   ## debug will show upstream aws messages.
#   debug = false


# # Configuration for Librato API to send metrics to.
# [[outputs.librato]]
#   ## Librato API Docs
#   ## http://dev.librato.com/v1/metrics-authentication
#   ## Librato API user
#   api_user = "telegraf@influxdb.com" # required.
#   ## Librato API token
#   api_token = "my-secret-token" # required.
#   ## Debug
#   # debug = false
#   ## Connection timeout.
#   # timeout = "5s"
#   ## Output source Template (same as graphite buckets)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   ## This template is used in librato's source (not metric's name)
#   template = "host"
#


# # Send aggregate metrics to Logz.io
# [[outputs.logzio]]
#   ## Connection timeout, defaults to "5s" if not set.
#   timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Logz.io account token
#   token = "your logz.io token" # required
#
#   ## Use your listener URL for your Logz.io account region.
#   # url = "https://listener.logz.io:8071"


# # Send logs to Loki
# [[outputs.loki]]
#   ## The domain of Loki
#   domain = "https://loki.domain.tld"
#
#   ## Endpoint to write api
#   # endpoint = "/loki/api/v1/push"
#
#   ## Connection timeout, defaults to "5s" if not set.
#   # timeout = "5s"
#
#   ## Basic auth credential
#   # username = "loki"
#   # password = "pass"
#
#   ## Additional HTTP headers
#   # http_headers = {"X-Scope-OrgID" = "1"}
#
#   ## If the request must be gzip encoded
#   # gzip_request = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"


# # Configuration for MQTT server to send metrics to
# [[outputs.mqtt]]
#   servers = ["localhost:1883"] # required.
#
#   ## MQTT outputs send metrics to this topic format
#   ##    "<topic_prefix>/<hostname>/<pluginname>/"
#   ##   ex: prefix/web01.example.com/mem
#   topic_prefix = "telegraf"
#
#   ## QoS policy for messages
#   ##   0 = at most once
#   ##   1 = at least once
#   ##   2 = exactly once
#   # qos = 2
#
#   ## username and password to connect MQTT server.
#   # username = "telegraf"
#   # password = "metricsmetricsmetricsmetrics"
#
#   ## client ID, if not set a random ID is generated
#   # client_id = ""
#
#   ## Timeout for write operations. default: 5s
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## When true, metrics will be sent in one MQTT message per flush.  Otherwise,
#   ## metrics are written one metric per MQTT message.
#   # batch = false
#
#   ## When true, metric will have RETAIN flag set, making broker cache entries until someone
#   ## actually reads it
#   # retain = false
#
#   ## Defines the maximum length of time that the broker and client may not communicate.
#   ## Defaults to 0 which turns the feature off. For version v2.0.12 of eclipse/mosquitto there is a
#   ## [bug](https://github.com/eclipse/mosquitto/issues/2117) which requires keep_alive to be set.
#   ## As a reference eclipse/paho.mqtt.golang v1.3.0 defaults to 30.
#   # keep_alive = 0
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"


# # Send telegraf measurements to NATS
# [[outputs.nats]]
#   ## URLs of NATS servers
#   servers = ["nats://localhost:4222"]
#
#   ## Optional client name
#   # name = ""
#
#   ## Optional credentials
#   # username = ""
#   # password = ""
#
#   ## Optional NATS 2.0 and NATS NGS compatible user credentials
#   # credentials = "/etc/telegraf/nats.creds"
#
#   ## NATS subject for producer messages
#   subject = "telegraf"
#
#   ## Use Transport Layer Security
#   # secure = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"


# # Send metrics to New Relic metrics endpoint
# [[outputs.newrelic]]
#   ## New Relic Insights API key
#   insights_key = "insights api key"
#
#   ## Prefix to add to add to metric name for easy identification.
#   # metric_prefix = ""
#
#   ## Timeout for writes to the New Relic API.
#   # timeout = "15s"
#
#   ## HTTP Proxy override. If unset use values from the standard
#   ## proxy environment variables to determine proxy, if any.
#   # http_proxy = "http://corporate.proxy:3128"
#
#   ## Metric URL override to enable geographic location endpoints.
#   # If not set use values from the standard
#   # metric_url = "https://metric-api.newrelic.com/metric/v1"


# # Send telegraf measurements to NSQD
# [[outputs.nsq]]
#   ## Location of nsqd instance listening on TCP
#   server = "localhost:4150"
#   ## NSQ topic for producer messages
#   topic = "telegraf"
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = "influx"


# # Send OpenTelemetry metrics over gRPC
# [[outputs.opentelemetry]]
#   ## Override the default (localhost:4317) OpenTelemetry gRPC service
#   ## address:port
#   # service_address = "localhost:4317"
#
#   ## Override the default (5s) request timeout
#   # timeout = "5s"
#
#   ## Optional TLS Config.
#   ##
#   ## Root certificates for verifying server certificates encoded in PEM format.
#   # tls_ca = "/etc/telegraf/ca.pem"
#   ## The public and private keypairs for the client encoded in PEM format.
#   ## May contain intermediate certificates.
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS, but skip TLS chain and host verification.
#   # insecure_skip_verify = false
#   ## Send the specified TLS server name via SNI.
#   # tls_server_name = "foo.example.com"
#
#   ## Override the default (gzip) compression used to send data.
#   ## Supports: "gzip", "none"
#   # compression = "gzip"
#
#   ## Additional OpenTelemetry resource attributes
#   # [outputs.opentelemetry.attributes]
#   # "service.name" = "demo"
#
#   ## Additional gRPC request metadata
#   # [outputs.opentelemetry.headers]
#   # key1 = "value1"


# # Configuration for OpenTSDB server to send metrics to
# [[outputs.opentsdb]]
#   ## prefix for metrics keys
#   prefix = "my.specific.prefix."
#
#   ## DNS name of the OpenTSDB server
#   ## Using "opentsdb.example.com" or "tcp://opentsdb.example.com" will use the
#   ## telnet API. "http://opentsdb.example.com" will use the Http API.
#   host = "opentsdb.example.com"
#
#   ## Port of the OpenTSDB server
#   port = 4242
#
#   ## Number of data points to send to OpenTSDB in Http requests.
#   ## Not used with telnet API.
#   http_batch_size = 50
#
#   ## URI Path for Http requests to OpenTSDB.
#   ## Used in cases where OpenTSDB is located behind a reverse proxy.
#   http_path = "/api/put"
#
#   ## Debug true - Prints OpenTSDB communication
#   debug = false
#
#   ## Separator separates measurement name from field
#   separator = "_"


# # Configuration for the Prometheus client to spawn
# [[outputs.prometheus_client]]
#   ## Address to listen on
#   listen = ":9273"
#
#   ## Metric version controls the mapping from Telegraf metrics into
#   ## Prometheus format.  When using the prometheus input, use the same value in
#   ## both plugins to ensure metrics are round-tripped without modification.
#   ##
#   ##   example: metric_version = 1;
#   ##            metric_version = 2; recommended version
#   # metric_version = 1
#
#   ## Use HTTP Basic Authentication.
#   # basic_username = "Foo"
#   # basic_password = "Bar"
#
#   ## If set, the IP Ranges which are allowed to access metrics.
#   ##   ex: ip_range = ["192.168.0.0/24", "192.168.1.0/30"]
#   # ip_range = []
#
#   ## Path to publish the metrics on.
#   # path = "/metrics"
#
#   ## Expiration interval for each metric. 0 == no expiration
#   # expiration_interval = "60s"
#
#   ## Collectors to enable, valid entries are "gocollector" and "process".
#   ## If unset, both are enabled.
#   # collectors_exclude = ["gocollector", "process"]
#
#   ## Send string metrics as Prometheus labels.
#   ## Unless set to false all string metrics will be sent as labels.
#   # string_as_label = true
#
#   ## If set, enable TLS with the given certificate.
#   # tls_cert = "/etc/ssl/telegraf.crt"
#   # tls_key = "/etc/ssl/telegraf.key"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Export metric collection time.
#   # export_timestamp = false


# # Configuration for the Riemann server to send metrics to
# [[outputs.riemann]]
#   ## The full TCP or UDP URL of the Riemann server
#   url = "tcp://localhost:5555"
#
#   ## Riemann event TTL, floating-point time in seconds.
#   ## Defines how long that an event is considered valid for in Riemann
#   # ttl = 30.0
#
#   ## Separator to use between measurement and field name in Riemann service name
#   ## This does not have any effect if 'measurement_as_attribute' is set to 'true'
#   separator = "/"
#
#   ## Set measurement name as Riemann attribute 'measurement', instead of prepending it to the Riemann service name
#   # measurement_as_attribute = false
#
#   ## Send string metrics as Riemann event states.
#   ## Unless enabled all string metrics will be ignored
#   # string_as_state = false
#
#   ## A list of tag keys whose values get sent as Riemann tags.
#   ## If empty, all Telegraf tag values will be sent as tags
#   # tag_keys = ["telegraf","custom_tag"]
#
#   ## Additional Riemann tags to send.
#   # tags = ["telegraf-output"]
#
#   ## Description for Riemann event
#   # description_text = "metrics collected from telegraf"
#
#   ## Riemann client write timeout, defaults to "5s" if not set.
#   # timeout = "5s"


# # Configuration for the Riemann server to send metrics to
# [[outputs.riemann_legacy]]
#   ## URL of server
#   url = "localhost:5555"
#   ## transport protocol to use either tcp or udp
#   transport = "tcp"
#   ## separator to use between input name and field name in Riemann service name
#   separator = " "


# # Send aggregate metrics to Sensu Monitor
# [[outputs.sensu]]
#   ## BACKEND API URL is the Sensu Backend API root URL to send metrics to
#   ## (protocol, host, and port only). The output plugin will automatically
#   ## append the corresponding backend API path
#   ## /api/core/v2/namespaces/:entity_namespace/events/:entity_name/:check_name).
#   ##
#   ## Backend Events API reference:
#   ## https://docs.sensu.io/sensu-go/latest/api/events/
#   ##
#   ## AGENT API URL is the Sensu Agent API root URL to send metrics to
#   ## (protocol, host, and port only). The output plugin will automatically
#   ## append the correspeonding agent API path (/events).
#   ##
#   ## Agent API Events API reference:
#   ## https://docs.sensu.io/sensu-go/latest/api/events/
#   ##
#   ## NOTE: if backend_api_url and agent_api_url and api_key are set, the output
#   ## plugin will use backend_api_url. If backend_api_url and agent_api_url are
#   ## not provided, the output plugin will default to use an agent_api_url of
#   ## http://127.0.0.1:3031
#   ##
#   # backend_api_url = "http://127.0.0.1:8080"
#   # agent_api_url = "http://127.0.0.1:3031"
#
#   ## API KEY is the Sensu Backend API token
#   ## Generate a new API token via:
#   ##
#   ## $ sensuctl cluster-role create telegraf --verb create --resource events,entities
#   ## $ sensuctl cluster-role-binding create telegraf --cluster-role telegraf --group telegraf
#   ## $ sensuctl user create telegraf --group telegraf --password REDACTED
#   ## $ sensuctl api-key grant telegraf
#   ##
#   ## For more information on Sensu RBAC profiles & API tokens, please visit:
#   ## - https://docs.sensu.io/sensu-go/latest/reference/rbac/
#   ## - https://docs.sensu.io/sensu-go/latest/reference/apikeys/
#   ##
#   # api_key = "${SENSU_API_KEY}"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Timeout for HTTP message
#   # timeout = "5s"
#
#   ## HTTP Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## Sensu Event details
#   ##
#   ## Below are the event details to be sent to Sensu.  The main portions of the
#   ## event are the check, entity, and metrics specifications. For more information
#   ## on Sensu events and its components, please visit:
#   ## - Events - https://docs.sensu.io/sensu-go/latest/reference/events
#   ## - Checks -  https://docs.sensu.io/sensu-go/latest/reference/checks
#   ## - Entities - https://docs.sensu.io/sensu-go/latest/reference/entities
#   ## - Metrics - https://docs.sensu.io/sensu-go/latest/reference/events#metrics
#   ##
#   ## Check specification
#   ## The check name is the name to give the Sensu check associated with the event
#   ## created. This maps to check.metatadata.name in the event.
#   [outputs.sensu.check]
#   name = "telegraf"
#
#   ## Entity specification
#   ## Configure the entity name and namespace, if necessary. This will be part of
#   ## the entity.metadata in the event.
#   ##
#   ## NOTE: if the output plugin is configured to send events to a
#   ## backend_api_url and entity_name is not set, the value returned by
#   ## os.Hostname() will be used; if the output plugin is configured to send
#   ## events to an agent_api_url, entity_name and entity_namespace are not used.
#   # [outputs.sensu.entity]
#   #   name = "server-01"
#   #   namespace = "default"
#
#   ## Metrics specification
#   ## Configure the tags for the metrics that are sent as part of the Sensu event
#   # [outputs.sensu.tags]
#   #   source = "telegraf"
#
#   ## Configure the handler(s) for processing the provided metrics
#   # [outputs.sensu.metrics]
#   #   handlers = ["influxdb","elasticsearch"]


# # Send metrics and events to SignalFx
# [[outputs.signalfx]]
#     ## SignalFx Org Access Token
#     access_token = "my-secret-token"
#
#     ## The SignalFx realm that your organization resides in
#     signalfx_realm = "us9"  # Required if ingest_url is not set
#
#     ## You can optionally provide a custom ingest url instead of the
#     ## signalfx_realm option above if you are using a gateway or proxy
#     ## instance.  This option takes precident over signalfx_realm.
#     ingest_url = "https://my-custom-ingest/"
#
#     ## Event typed metrics are omitted by default,
#     ## If you require an event typed metric you must specify the
#     ## metric name in the following list.
#     included_event_names = ["plugin.metric_name"]


# # Generic socket writer capable of handling multiple socket types.
# [[outputs.socket_writer]]
#   ## URL to connect to
#   # address = "tcp://127.0.0.1:8094"
#   # address = "tcp://example.com:http"
#   # address = "tcp4://127.0.0.1:8094"
#   # address = "tcp6://127.0.0.1:8094"
#   # address = "tcp6://[2001:db8::1]:8094"
#   # address = "udp://127.0.0.1:8094"
#   # address = "udp4://127.0.0.1:8094"
#   # address = "udp6://127.0.0.1:8094"
#   # address = "unix:///tmp/telegraf.sock"
#   # address = "unixgram:///tmp/telegraf.sock"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## Content encoding for packet-based connections (i.e. UDP, unixgram).
#   ## Can be set to "gzip" or to "identity" to apply no encoding.
#   ##
#   # content_encoding = "identity"
#
#   ## Data format to generate.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"


# # Send metrics to SQL Database
# [[outputs.sql]]
#   ## Database driver
#   ## Valid options: mssql (Microsoft SQL Server), mysql (MySQL), pgx (Postgres),
#   ##  sqlite (SQLite3), snowflake (snowflake.com)
#   # driver = ""
#
#   ## Data source name
#   ## The format of the data source name is different for each database driver.
#   ## See the plugin readme for details.
#   # data_source_name = ""
#
#   ## Timestamp column name
#   # timestamp_column = "timestamp"
#
#   ## Table creation template
#   ## Available template variables:
#   ##  {TABLE} - table name as a quoted identifier
#   ##  {TABLELITERAL} - table name as a quoted string literal
#   ##  {COLUMNS} - column definitions (list of quoted identifiers and types)
#   # table_template = "CREATE TABLE {TABLE}({COLUMNS})"
#
#   ## Table existence check template
#   ## Available template variables:
#   ##  {TABLE} - tablename as a quoted identifier
#   # table_exists_template = "SELECT 1 FROM {TABLE} LIMIT 1"
#
#   ## Initialization SQL
#   # init_sql = ""
#
#   ## Metric type to SQL type conversion
#   #[outputs.sql.convert]
#   #  integer              = "INT"
#   #  real                 = "DOUBLE"
#   #  text                 = "TEXT"
#   #  timestamp            = "TIMESTAMP"
#   #  defaultvalue         = "TEXT"
#   #  unsigned             = "UNSIGNED"


# # Configuration for Google Cloud Stackdriver to send metrics to
# [[outputs.stackdriver]]
#   ## GCP Project
#   project = "erudite-bloom-151019"
#
#   ## The namespace for the metric descriptor
#   namespace = "telegraf"
#
#   ## Custom resource type
#   # resource_type = "generic_node"
#
#   ## Additional resource labels
#   # [outputs.stackdriver.resource_labels]
#   #   node_id = "$HOSTNAME"
#   #   namespace = "myapp"
#   #   location = "eu-north0"


# # A plugin that can transmit metrics to Sumo Logic HTTP Source
# [[outputs.sumologic]]
#   ## Unique URL generated for your HTTP Metrics Source.
#   ## This is the address to send metrics to.
#   # url = "https://events.sumologic.net/receiver/v1/http/<UniqueHTTPCollectorCode>"
#
#   ## Data format to be used for sending metrics.
#   ## This will set the "Content-Type" header accordingly.
#   ## Currently supported formats:
#   ## * graphite - for Content-Type of application/vnd.sumologic.graphite
#   ## * carbon2 - for Content-Type of application/vnd.sumologic.carbon2
#   ## * prometheus - for Content-Type of application/vnd.sumologic.prometheus
#   ##
#   ## More information can be found at:
#   ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#content-type-headers-for-metrics
#   ##
#   ## NOTE:
#   ## When unset, telegraf will by default use the influx serializer which is currently unsupported
#   ## in HTTP Source.
#   data_format = "carbon2"
#
#   ## Timeout used for HTTP request
#   # timeout = "5s"
#
#   ## Max HTTP request body size in bytes before compression (if applied).
#   ## By default 1MB is recommended.
#   ## NOTE:
#   ## Bear in mind that in some serializer a metric even though serialized to multiple
#   ## lines cannot be split any further so setting this very low might not work
#   ## as expected.
#   # max_request_body_size = 1000000
#
#   ## Additional, Sumo specific options.
#   ## Full list can be found here:
#   ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#supported-http-headers
#
#   ## Desired source name.
#   ## Useful if you want to override the source name configured for the source.
#   # source_name = ""
#
#   ## Desired host name.
#   ## Useful if you want to override the source host configured for the source.
#   # source_host = ""
#
#   ## Desired source category.
#   ## Useful if you want to override the source category configured for the source.
#   # source_category = ""
#
#   ## Comma-separated key=value list of dimensions to apply to every metric.
#   ## Custom dimensions will allow you to query your metrics at a more granular level.
#   # dimensions = ""


# # Configuration for Syslog server to send metrics to
# [[outputs.syslog]]
#   ## URL to connect to
#   ## ex: address = "tcp://127.0.0.1:8094"
#   ## ex: address = "tcp4://127.0.0.1:8094"
#   ## ex: address = "tcp6://127.0.0.1:8094"
#   ## ex: address = "tcp6://[2001:db8::1]:8094"
#   ## ex: address = "udp://127.0.0.1:8094"
#   ## ex: address = "udp4://127.0.0.1:8094"
#   ## ex: address = "udp6://127.0.0.1:8094"
#   address = "tcp://127.0.0.1:8094"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## The framing technique with which it is expected that messages are
#   ## transported (default = "octet-counting").  Whether the messages come
#   ## using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),
#   ## or the non-transparent framing technique (RFC6587#section-3.4.2).  Must
#   ## be one of "octet-counting", "non-transparent".
#   # framing = "octet-counting"
#
#   ## The trailer to be expected in case of non-transparent framing (default = "LF").
#   ## Must be one of "LF", or "NUL".
#   # trailer = "LF"
#
#   ## SD-PARAMs settings
#   ## Syslog messages can contain key/value pairs within zero or more
#   ## structured data sections.  For each unrecognized metric tag/field a
#   ## SD-PARAMS is created.
#   ##
#   ## Example:
#   ##   [[outputs.syslog]]
#   ##     sdparam_separator = "_"
#   ##     default_sdid = "default@32473"
#   ##     sdids = ["foo@123", "bar@456"]
#   ##
#   ##   input => xyzzy,x=y foo@123_value=42,bar@456_value2=84,something_else=1
#   ##   output (structured data only) => [foo@123 value=42][bar@456 value2=84][default@32473 something_else=1 x=y]
#
#   ## SD-PARAMs separator between the sdid and tag/field key (default = "_")
#   # sdparam_separator = "_"
#
#   ## Default sdid used for tags/fields that don't contain a prefix defined in
#   ## the explicit sdids setting below If no default is specified, no SD-PARAMs
#   ## will be used for unrecognized field.
#   # default_sdid = "default@32473"
#
#   ## List of explicit prefixes to extract from tag/field keys and use as the
#   ## SDID, if they match (see above example for more details):
#   # sdids = ["foo@123", "bar@456"]
#
#   ## Default severity value. Severity and Facility are used to calculate the
#   ## message PRI value (RFC5424#section-6.2.1).  Used when no metric field
#   ## with key "severity_code" is defined.  If unset, 5 (notice) is the default
#   # default_severity_code = 5
#
#   ## Default facility value. Facility and Severity are used to calculate the
#   ## message PRI value (RFC5424#section-6.2.1).  Used when no metric field with
#   ## key "facility_code" is defined.  If unset, 1 (user-level) is the default
#   # default_facility_code = 1
#
#   ## Default APP-NAME value (RFC5424#section-6.2.5)
#   ## Used when no metric tag with key "appname" is defined.
#   ## If unset, "Telegraf" is the default
#   # default_appname = "Telegraf"


# # Configuration for Amazon Timestream output.
# [[outputs.timestream]]
#   ## Amazon Region
#   region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order:
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   #access_key = ""
#   #secret_key = ""
#   #token = ""
#   #role_arn = ""
#   #web_identity_token_file = ""
#   #role_session_name = ""
#   #profile = ""
#   #shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Timestream database where the metrics will be inserted.
#   ## The database must exist prior to starting Telegraf.
#   database_name = "yourDatabaseNameHere"
#
#   ## Specifies if the plugin should describe the Timestream database upon starting
#   ## to validate if it has access necessary permissions, connection, etc., as a safety check.
#   ## If the describe operation fails, the plugin will not start
#   ## and therefore the Telegraf agent will not start.
#   describe_database_on_start = false
#
#   ## The mapping mode specifies how Telegraf records are represented in Timestream.
#   ## Valid values are: single-table, multi-table.
#   ## For example, consider the following data in line protocol format:
#   ## weather,location=us-midwest,season=summer temperature=82,humidity=71 1465839830100400200
#   ## airquality,location=us-west no2=5,pm25=16 1465839830100400200
#   ## where weather and airquality are the measurement names, location and season are tags,
#   ## and temperature, humidity, no2, pm25 are fields.
#   ## In multi-table mode:
#   ##  - first line will be ingested to table named weather
#   ##  - second line will be ingested to table named airquality
#   ##  - the tags will be represented as dimensions
#   ##  - first table (weather) will have two records:
#   ##      one with measurement name equals to temperature,
#   ##      another with measurement name equals to humidity
#   ##  - second table (airquality) will have two records:
#   ##      one with measurement name equals to no2,
#   ##      another with measurement name equals to pm25
#   ##  - the Timestream tables from the example will look like this:
#   ##      TABLE "weather":
#   ##        time | location | season | measure_name | measure_value::bigint
#   ##        2016-06-13 17:43:50 | us-midwest | summer | temperature | 82
#   ##        2016-06-13 17:43:50 | us-midwest | summer | humidity | 71
#   ##      TABLE "airquality":
#   ##        time | location | measure_name | measure_value::bigint
#   ##        2016-06-13 17:43:50 | us-west | no2 | 5
#   ##        2016-06-13 17:43:50 | us-west | pm25 | 16
#   ## In single-table mode:
#   ##  - the data will be ingested to a single table, which name will be valueOf(single_table_name)
#   ##  - measurement name will stored in dimension named valueOf(single_table_dimension_name_for_telegraf_measurement_name)
#   ##  - location and season will be represented as dimensions
#   ##  - temperature, humidity, no2, pm25 will be represented as measurement name
#   ##  - the Timestream table from the example will look like this:
#   ##      Assuming:
#   ##        - single_table_name = "my_readings"
#   ##        - single_table_dimension_name_for_telegraf_measurement_name = "namespace"
#   ##      TABLE "my_readings":
#   ##        time | location | season | namespace | measure_name | measure_value::bigint
#   ##        2016-06-13 17:43:50 | us-midwest | summer | weather | temperature | 82
#   ##        2016-06-13 17:43:50 | us-midwest | summer | weather | humidity | 71
#   ##        2016-06-13 17:43:50 | us-west | NULL | airquality | no2 | 5
#   ##        2016-06-13 17:43:50 | us-west | NULL | airquality | pm25 | 16
#   ## In most cases, using multi-table mapping mode is recommended.
#   ## However, you can consider using single-table in situations when you have thousands of measurement names.
#   mapping_mode = "multi-table"
#
#   ## Only valid and required for mapping_mode = "single-table"
#   ## Specifies the Timestream table where the metrics will be uploaded.
#   # single_table_name = "yourTableNameHere"
#
#   ## Only valid and required for mapping_mode = "single-table"
#   ## Describes what will be the Timestream dimension name for the Telegraf
#   ## measurement name.
#   # single_table_dimension_name_for_telegraf_measurement_name = "namespace"
#
#   ## Specifies if the plugin should create the table, if the table do not exist.
#   ## The plugin writes the data without prior checking if the table exists.
#   ## When the table does not exist, the error returned from Timestream will cause
#   ## the plugin to create the table, if this parameter is set to true.
#   create_table_if_not_exists = true
#
#   ## Only valid and required if create_table_if_not_exists = true
#   ## Specifies the Timestream table magnetic store retention period in days.
#   ## Check Timestream documentation for more details.
#   create_table_magnetic_store_retention_period_in_days = 365
#
#   ## Only valid and required if create_table_if_not_exists = true
#   ## Specifies the Timestream table memory store retention period in hours.
#   ## Check Timestream documentation for more details.
#   create_table_memory_store_retention_period_in_hours = 24
#
#   ## Only valid and optional if create_table_if_not_exists = true
#   ## Specifies the Timestream table tags.
#   ## Check Timestream documentation for more details
#   # create_table_tags = { "foo" = "bar", "environment" = "dev"}


# # Write metrics to Warp 10
# [[outputs.warp10]]
#   # Prefix to add to the measurement.
#   prefix = "telegraf."
#
#   # URL of the Warp 10 server
#   warp_url = "http://localhost:8080"
#
#   # Write token to access your app on warp 10
#   token = "Token"
#
#   # Warp 10 query timeout
#   # timeout = "15s"
#
#   ## Print Warp 10 error body
#   # print_error_body = false
#
#   ##?Max string error size
#   # max_string_error_size = 511
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Configuration for Wavefront server to send metrics to
# [[outputs.wavefront]]
#   ## Url for Wavefront Direct Ingestion or using HTTP with Wavefront Proxy
#   ## If using Wavefront Proxy, also specify port. example: http://proxyserver:2878
#   url = "https://metrics.wavefront.com"
#
#   ## Authentication Token for Wavefront. Only required if using Direct Ingestion
#   #token = "DUMMY_TOKEN"
#
#   ## DNS name of the wavefront proxy server. Do not use if url is specified
#   #host = "wavefront.example.com"
#
#   ## Port that the Wavefront proxy server listens on. Do not use if url is specified
#   #port = 2878
#
#   ## prefix for metrics keys
#   #prefix = "my.specific.prefix."
#
#   ## whether to use "value" for name of simple fields. default is false
#   #simple_fields = false
#
#   ## character to use between metric and field name.  default is . (dot)
#   #metric_separator = "."
#
#   ## Convert metric name paths to use metricSeparator character
#   ## When true will convert all _ (underscore) characters in final metric name. default is true
#   #convert_paths = true
#
#   ## Use Strict rules to sanitize metric and tag names from invalid characters
#   ## When enabled forward slash (/) and comma (,) will be accepted
#   #use_strict = false
#
#   ## Use Regex to sanitize metric and tag names from invalid characters
#   ## Regex is more thorough, but significantly slower. default is false
#   #use_regex = false
#
#   ## point tags to use as the source name for Wavefront (if none found, host will be used)
#   #source_override = ["hostname", "address", "agent_host", "node_host"]
#
#   ## whether to convert boolean values to numeric values, with false -> 0.0 and true -> 1.0. default is true
#   #convert_bool = true
#
#   ## Truncate metric tags to a total of 254 characters for the tag name value. Wavefront will reject any
#   ## data point exceeding this limit if not truncated. Defaults to 'false' to provide backwards compatibility.
#   #truncate_tags = false
#
#   ## Flush the internal buffers after each batch. This effectively bypasses the background sending of metrics
#   ## normally done by the Wavefront SDK. This can be used if you are experiencing buffer overruns. The sending
#   ## of metrics will block for a longer time, but this will be handled gracefully by the internal buffering in
#   ## Telegraf.
#   #immediate_flush = true
#
#   ## Define a mapping, namespaced by metric prefix, from string values to numeric values
#   ##   deprecated in 1.9; use the enum processor plugin
#   #[[outputs.wavefront.string_to_number.elasticsearch]]
#   #  green = 1.0
#   #  yellow = 0.5
#   #  red = 0.0


# # Generic WebSocket output writer.
# [[outputs.websocket]]
#   ## URL is the address to send metrics to. Make sure ws or wss scheme is used.
#   url = "ws://127.0.0.1:8080/telegraf"
#
#   ## Timeouts (make sure read_timeout is larger than server ping interval or set to zero).
#   # connect_timeout = "30s"
#   # write_timeout = "30s"
#   # read_timeout = "30s"
#
#   ## Optionally turn on using text data frames (binary by default).
#   # use_text_frames = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Data format to output.
#   ## Each data format has it's own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = "influx"
#
#   ## Additional HTTP Upgrade headers
#   # [outputs.websocket.headers]
#   #   Authorization = "Bearer <TOKEN>"


# # Send aggregated metrics to Yandex.Cloud Monitoring
# [[outputs.yandex_cloud_monitoring]]
#   ## Timeout for HTTP writes.
#   # timeout = "20s"
#
#   ## Yandex.Cloud monitoring API endpoint. Normally should not be changed
#   # endpoint_url = "https://monitoring.api.cloud.yandex.net/monitoring/v2/data/write"
#
#   ## All user metrics should be sent with "custom" service specified. Normally should not be changed
#   # service = "custom"


###############################################################################
#                            PROCESSOR PLUGINS                                #
###############################################################################


# # Attach AWS EC2 metadata to metrics
# [[processors.aws_ec2]]
#   ## Instance identity document tags to attach to metrics.
#   ## For more information see:
#   ## https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-identity-documents.html
#   ##
#   ## Available tags:
#   ## * accountId
#   ## * architecture
#   ## * availabilityZone
#   ## * billingProducts
#   ## * imageId
#   ## * instanceId
#   ## * instanceType
#   ## * kernelId
#   ## * pendingTime
#   ## * privateIp
#   ## * ramdiskId
#   ## * region
#   ## * version
#   imds_tags = []
#
#   ## EC2 instance tags retrieved with DescribeTags action.
#   ## In case tag is empty upon retrieval it's omitted when tagging metrics.
#   ## Note that in order for this to work, role attached to EC2 instance or AWS
#   ## credentials available from the environment must have a policy attached, that
#   ## allows ec2:DescribeTags.
#   ##
#   ## For more information see:
#   ## https://docs.aws.amazon.com/AWSEC2/latest/APIReference/API_DescribeTags.html
#   ec2_tags = []
#
#   ## Timeout for http requests made by against aws ec2 metadata endpoint.
#   timeout = "10s"
#
#   ## ordered controls whether or not the metrics need to stay in the same order
#   ## this plugin received them in. If false, this plugin will change the order
#   ## with requests hitting cached results moving through immediately and not
#   ## waiting on slower lookups. This may cause issues for you if you are
#   ## depending on the order of metrics staying the same. If so, set this to true.
#   ## Keeping the metrics ordered may be slightly slower.
#   ordered = false
#
#   ## max_parallel_calls is the maximum number of AWS API calls to be in flight
#   ## at the same time.
#   ## It's probably best to keep this number fairly low.
#   max_parallel_calls = 10


# # Clone metrics and apply modifications.
# [[processors.clone]]
#   ## All modifications on inputs and aggregators can be overridden:
#   # name_override = "new_name"
#   # name_prefix = "new_name_prefix"
#   # name_suffix = "new_name_suffix"
#
#   ## Tags to be added (all values must be strings)
#   # [processors.clone.tags]
#   #   additional_tag = "tag_value"


# # Convert values to another metric value type
# [[processors.converter]]
#   ## Tags to convert
#   ##
#   ## The table key determines the target type, and the array of key-values
#   ## select the keys to convert.  The array may contain globs.
#   ##   <target-type> = [<tag-key>...]
#   [processors.converter.tags]
#     measurement = []
#     string = []
#     integer = []
#     unsigned = []
#     boolean = []
#     float = []
#
#   ## Fields to convert
#   ##
#   ## The table key determines the target type, and the array of key-values
#   ## select the keys to convert.  The array may contain globs.
#   ##   <target-type> = [<field-key>...]
#   [processors.converter.fields]
#     measurement = []
#     tag = []
#     string = []
#     integer = []
#     unsigned = []
#     boolean = []
#     float = []


# # Dates measurements, tags, and fields that pass through this filter.
# [[processors.date]]
#   ## New tag to create
#   tag_key = "month"
#
#   ## New field to create (cannot set both field_key and tag_key)
#   # field_key = "month"
#
#   ## Date format string, must be a representation of the Go "reference time"
#   ## which is "Mon Jan 2 15:04:05 -0700 MST 2006".
#   date_format = "Jan"
#
#   ## If destination is a field, date format can also be one of
#   ## "unix", "unix_ms", "unix_us", or "unix_ns", which will insert an integer field.
#   # date_format = "unix"
#
#   ## Offset duration added to the date string when writing the new tag.
#   # date_offset = "0s"
#
#   ## Timezone to use when creating the tag or field using a reference time
#   ## string.  This can be set to one of "UTC", "Local", or to a location name
#   ## in the IANA Time Zone database.
#   ##   example: timezone = "America/Los_Angeles"
#   # timezone = "UTC"


# # Filter metrics with repeating field values
# [[processors.dedup]]
#   ## Maximum time to suppress output
#   dedup_interval = "600s"


# # Defaults sets default value(s) for specified fields that are not set on incoming metrics.
# [[processors.defaults]]
#   ## Ensures a set of fields always exists on your metric(s) with their
#   ## respective default value.
#   ## For any given field pair (key = default), if it's not set, a field
#   ## is set on the metric with the specified default.
#   ##
#   ## A field is considered not set if it is nil on the incoming metric;
#   ## or it is not nil but its value is an empty string or is a string
#   ## of one or more spaces.
#   ##   <target-field> = <value>
#   # [processors.defaults.fields]
#   #   field_1 = "bar"
#   #   time_idle = 0
#   #   is_error = true


# # Map enum values according to given table.
# [[processors.enum]]
#   [[processors.enum.mapping]]
#     ## Name of the field to map. Globs accepted.
#     field = "status"
#
#     ## Name of the tag to map. Globs accepted.
#     # tag = "status"
#
#     ## Destination tag or field to be used for the mapped value.  By default the
#     ## source tag or field is used, overwriting the original value.
#     dest = "status_code"
#
#     ## Default value to be used for all values not contained in the mapping
#     ## table.  When unset, the unmodified value for the field will be used if no
#     ## match is found.
#     # default = 0
#
#     ## Table of mappings
#     [processors.enum.mapping.value_mappings]
#       green = 1
#       amber = 2
#       red = 3


# # Run executable as long-running processor plugin
# [[processors.execd]]
#   ## Program to run as daemon
#   ## eg: command = ["/path/to/your_program", "arg1", "arg2"]
#   command = ["cat"]
#
#   ## Delay before the process is restarted after an unexpected termination
#   restart_delay = "10s"


# # Performs file path manipulations on tags and fields
# [[processors.filepath]]
#   ## Treat the tag value as a path and convert it to its last element, storing the result in a new tag
#   # [[processors.filepath.basename]]
#   #   tag = "path"
#   #   dest = "basepath"
#
#   ## Treat the field value as a path and keep all but the last element of path, typically the path's directory
#   # [[processors.filepath.dirname]]
#   #   field = "path"
#
#   ## Treat the tag value as a path, converting it to its the last element without its suffix
#   # [[processors.filepath.stem]]
#   #   tag = "path"
#
#   ## Treat the tag value as a path, converting it to the shortest path name equivalent
#   ## to path by purely lexical processing
#   # [[processors.filepath.clean]]
#   #   tag = "path"
#
#   ## Treat the tag value as a path, converting it to a relative path that is lexically
#   ## equivalent to the source path when joined to 'base_path'
#   # [[processors.filepath.rel]]
#   #   tag = "path"
#   #   base_path = "/var/log"
#
#   ## Treat the tag value as a path, replacing each separator character in path with a '/' character. Has only
#   ## effect on Windows
#   # [[processors.filepath.toslash]]
#   #   tag = "path"


# # Add a tag of the network interface name looked up over SNMP by interface number
# [[processors.ifname]]
#   ## Name of tag holding the interface number
#   # tag = "ifIndex"
#
#   ## Name of output tag where service name will be added
#   # dest = "ifName"
#
#   ## Name of tag of the SNMP agent to request the interface name from
#   # agent = "agent"
#
#   ## Timeout for each request.
#   # timeout = "5s"
#
#   ## SNMP version; can be 1, 2, or 3.
#   # version = 2
#
#   ## SNMP community string.
#   # community = "public"
#
#   ## Number of retries to attempt.
#   # retries = 3
#
#   ## The GETBULK max-repetitions parameter.
#   # max_repetitions = 10
#
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = "myuser"
#   ## Authentication protocol; one of "MD5", "SHA", or "".
#   # auth_protocol = "MD5"
#   ## Authentication password.
#   # auth_password = "pass"
#   ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
#   # sec_level = "authNoPriv"
#   ## Context Name.
#   # context_name = ""
#   ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "".
#   # priv_protocol = ""
#   ## Privacy password used for encrypted messages.
#   # priv_password = ""
#
#   ## max_parallel_lookups is the maximum number of SNMP requests to
#   ## make at the same time.
#   # max_parallel_lookups = 100
#
#   ## ordered controls whether or not the metrics need to stay in the
#   ## same order this plugin received them in. If false, this plugin
#   ## may change the order when data is cached.  If you need metrics to
#   ## stay in order set this to true.  keeping the metrics ordered may
#   ## be slightly slower
#   # ordered = false
#
#   ## cache_ttl is the amount of time interface names are cached for a
#   ## given agent.  After this period elapses if names are needed they
#   ## will be retrieved again.
#   # cache_ttl = "8h"


# # Apply metric modifications using override semantics.
# [[processors.override]]
#   ## All modifications on inputs and aggregators can be overridden:
#   # name_override = "new_name"
#   # name_prefix = "new_name_prefix"
#   # name_suffix = "new_name_suffix"
#
#   ## Tags to be added (all values must be strings)
#   # [processors.override.tags]
#   #   additional_tag = "tag_value"


# # Parse a value in a specified field/tag(s) and add the result in a new metric
# [[processors.parser]]
#   ## The name of the fields whose value will be parsed.
#   parse_fields = []
#
#   ## If true, incoming metrics are not emitted.
#   drop_original = false
#
#   ## If set to override, emitted metrics will be merged by overriding the
#   ## original metric using the newly parsed metrics.
#   merge = "override"
#
#   ## The dataformat to be read from files
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Rotate a single valued metric into a multi field metric
# [[processors.pivot]]
#   ## Tag to use for naming the new field.
#   tag_key = "name"
#   ## Field to use as the value of the new field.
#   value_key = "value"


# # Given a tag/field of a TCP or UDP port number, add a tag/field of the service name looked up in the system services file
# [[processors.port_name]]
# [[processors.port_name]]
#   ## Name of tag holding the port number
#   # tag = "port"
#   ## Or name of the field holding the port number
#   # field = "port"
#
#   ## Name of output tag or field (depending on the source) where service name will be added
#   # dest = "service"
#
#   ## Default tcp or udp
#   # default_protocol = "tcp"
#
#   ## Tag containing the protocol (tcp or udp, case-insensitive)
#   # protocol_tag = "proto"
#
#   ## Field containing the protocol (tcp or udp, case-insensitive)
#   # protocol_field = "proto"


# # Print all metrics that pass through this filter.
# [[processors.printer]]


# # Transforms tag and field values with regex pattern
# [[processors.regex]]
#   ## Tag and field conversions defined in a separate sub-tables
#   # [[processors.regex.tags]]
#   #   ## Tag to change
#   #   key = "resp_code"
#   #   ## Regular expression to match on a tag value
#   #   pattern = "^(\\d)\\d\\d$"
#   #   ## Matches of the pattern will be replaced with this string.  Use ${1}
#   #   ## notation to use the text of the first submatch.
#   #   replacement = "${1}xx"
#
#   # [[processors.regex.fields]]
#   #   ## Field to change
#   #   key = "request"
#   #   ## All the power of the Go regular expressions available here
#   #   ## For example, named subgroups
#   #   pattern = "^/api(?P<method>/[\\w/]+)\\S*"
#   #   replacement = "${method}"
#   #   ## If result_key is present, a new field will be created
#   #   ## instead of changing existing field
#   #   result_key = "method"
#
#   ## Multiple conversions may be applied for one field sequentially
#   ## Let's extract one more value
#   # [[processors.regex.fields]]
#   #   key = "request"
#   #   pattern = ".*category=(\\w+).*"
#   #   replacement = "${1}"
#   #   result_key = "search_category"


# # Rename measurements, tags, and fields that pass through this filter.
# [[processors.rename]]


# # ReverseDNS does a reverse lookup on IP addresses to retrieve the DNS name
# [[processors.reverse_dns]]
#   ## For optimal performance, you may want to limit which metrics are passed to this
#   ## processor. eg:
#   ## namepass = ["my_metric_*"]
#
#   ## cache_ttl is how long the dns entries should stay cached for.
#   ## generally longer is better, but if you expect a large number of diverse lookups
#   ## you'll want to consider memory use.
#   cache_ttl = "24h"
#
#   ## lookup_timeout is how long should you wait for a single dns request to repsond.
#   ## this is also the maximum acceptable latency for a metric travelling through
#   ## the reverse_dns processor. After lookup_timeout is exceeded, a metric will
#   ## be passed on unaltered.
#   ## multiple simultaneous resolution requests for the same IP will only make a
#   ## single rDNS request, and they will all wait for the answer for this long.
#   lookup_timeout = "3s"
#
#   ## max_parallel_lookups is the maximum number of dns requests to be in flight
#   ## at the same time. Requesting hitting cached values do not count against this
#   ## total, and neither do mulptiple requests for the same IP.
#   ## It's probably best to keep this number fairly low.
#   max_parallel_lookups = 10
#
#   ## ordered controls whether or not the metrics need to stay in the same order
#   ## this plugin received them in. If false, this plugin will change the order
#   ## with requests hitting cached results moving through immediately and not
#   ## waiting on slower lookups. This may cause issues for you if you are
#   ## depending on the order of metrics staying the same. If so, set this to true.
#   ## keeping the metrics ordered may be slightly slower.
#   ordered = false
#
#   [[processors.reverse_dns.lookup]]
#     ## get the ip from the field "source_ip", and put the result in the field "source_name"
#     field = "source_ip"
#     dest = "source_name"
#
#   [[processors.reverse_dns.lookup]]
#     ## get the ip from the tag "destination_ip", and put the result in the tag
#     ## "destination_name".
#     tag = "destination_ip"
#     dest = "destination_name"
#
#     ## If you would prefer destination_name to be a field instead, you can use a
#     ## processors.converter after this one, specifying the order attribute.


# # Add the S2 Cell ID as a tag based on latitude and longitude fields
# [[processors.s2geo]]
#   ## The name of the lat and lon fields containing WGS-84 latitude and
#   ## longitude in decimal degrees.
#   # lat_field = "lat"
#   # lon_field = "lon"
#
#   ## New tag to create
#   # tag_key = "s2_cell_id"
#
#   ## Cell level (see https://s2geometry.io/resources/s2cell_statistics.html)
#   # cell_level = 9


# # Process metrics using a Starlark script
# [[processors.starlark]]
#   ## The Starlark source can be set as a string in this configuration file, or
#   ## by referencing a file containing the script.  Only one source or script
#   ## should be set at once.
#   ##
#   ## Source of the Starlark script.
#   source = '''
# def apply(metric):
#   return metric
# '''
#
#   ## File containing a Starlark script.
#   # script = "/usr/local/bin/myscript.star"
#
#   ## The constants of the Starlark script.
#   # [processors.starlark.constants]
#   #   max_size = 10
#   #   threshold = 0.75
#   #   default_name = "Julia"
#   #   debug_mode = true


# # Perform string processing on tags, fields, and measurements
# [[processors.strings]]
#   ## Convert a tag value to uppercase
#   # [[processors.strings.uppercase]]
#   #   tag = "method"
#
#   ## Convert a field value to lowercase and store in a new field
#   # [[processors.strings.lowercase]]
#   #   field = "uri_stem"
#   #   dest = "uri_stem_normalised"
#
#   ## Convert a field value to titlecase
#   # [[processors.strings.titlecase]]
#   #   field = "status"
#
#   ## Trim leading and trailing whitespace using the default cutset
#   # [[processors.strings.trim]]
#   #   field = "message"
#
#   ## Trim leading characters in cutset
#   # [[processors.strings.trim_left]]
#   #   field = "message"
#   #   cutset = "\t"
#
#   ## Trim trailing characters in cutset
#   # [[processors.strings.trim_right]]
#   #   field = "message"
#   #   cutset = "\r\n"
#
#   ## Trim the given prefix from the field
#   # [[processors.strings.trim_prefix]]
#   #   field = "my_value"
#   #   prefix = "my_"
#
#   ## Trim the given suffix from the field
#   # [[processors.strings.trim_suffix]]
#   #   field = "read_count"
#   #   suffix = "_count"
#
#   ## Replace all non-overlapping instances of old with new
#   # [[processors.strings.replace]]
#   #   measurement = "*"
#   #   old = ":"
#   #   new = "_"
#
#   ## Trims strings based on width
#   # [[processors.strings.left]]
#   #   field = "message"
#   #   width = 10
#
#   ## Decode a base64 encoded utf-8 string
#   # [[processors.strings.base64decode]]
#   #   field = "message"
#
#   ## Sanitize a string to ensure it is a valid utf-8 string
#   ## Each run of invalid UTF-8 byte sequences is replaced by the replacement string, which may be empty
#   # [[processors.strings.valid_utf8]]
#   #   field = "message"
#   #   replacement = ""


# # Restricts the number of tags that can pass through this filter and chooses which tags to preserve when over the limit.
# [[processors.tag_limit]]
#   ## Maximum number of tags to preserve
#   limit = 10
#
#   ## List of tags to preferentially preserve
#   keep = ["foo", "bar", "baz"]


# # Uses a Go template to create a new tag
# [[processors.template]]
#   ## Tag to set with the output of the template.
#   tag = "topic"
#
#   ## Go template used to create the tag value.  In order to ease TOML
#   ## escaping requirements, you may wish to use single quotes around the
#   ## template string.
#   template = '{{ .Tag "hostname" }}.{{ .Tag "level" }}'


# # Print all metrics that pass through this filter.
# [[processors.topk]]
#   ## How many seconds between aggregations
#   # period = 10
#
#   ## How many top metrics to return
#   # k = 10
#
#   ## Over which tags should the aggregation be done. Globs can be specified, in
#   ## which case any tag matching the glob will aggregated over. If set to an
#   ## empty list is no aggregation over tags is done
#   # group_by = ['*']
#
#   ## Over which fields are the top k are calculated
#   # fields = ["value"]
#
#   ## What aggregation to use. Options: sum, mean, min, max
#   # aggregation = "mean"
#
#   ## Instead of the top k largest metrics, return the bottom k lowest metrics
#   # bottomk = false
#
#   ## The plugin assigns each metric a GroupBy tag generated from its name and
#   ## tags. If this setting is different than "" the plugin will add a
#   ## tag (which name will be the value of this setting) to each metric with
#   ## the value of the calculated GroupBy tag. Useful for debugging
#   # add_groupby_tag = ""
#
#   ## These settings provide a way to know the position of each metric in
#   ## the top k. The 'add_rank_field' setting allows to specify for which
#   ## fields the position is required. If the list is non empty, then a field
#   ## will be added to each and every metric for each string present in this
#   ## setting. This field will contain the ranking of the group that
#   ## the metric belonged to when aggregated over that field.
#   ## The name of the field will be set to the name of the aggregation field,
#   ## suffixed with the string '_topk_rank'
#   # add_rank_fields = []
#
#   ## These settings provide a way to know what values the plugin is generating
#   ## when aggregating metrics. The 'add_aggregate_field' setting allows to
#   ## specify for which fields the final aggregation value is required. If the
#   ## list is non empty, then a field will be added to each every metric for
#   ## each field present in this setting. This field will contain
#   ## the computed aggregation for the group that the metric belonged to when
#   ## aggregated over that field.
#   ## The name of the field will be set to the name of the aggregation field,
#   ## suffixed with the string '_topk_aggregate'
#   # add_aggregate_fields = []


# # Rotate multi field metric into several single field metrics
# [[processors.unpivot]]
#   ## Tag to use for the name.
#   tag_key = "name"
#   ## Field to use for the name of the value.
#   value_key = "value"


###############################################################################
#                            AGGREGATOR PLUGINS                               #
###############################################################################


# # Keep the aggregate basicstats of each metric passing through.
# [[aggregators.basicstats]]
#   ## The period on which to flush & clear the aggregator.
#   period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#
#   ## Configures which basic stats to push as fields
#   # stats = ["count", "min", "max", "mean", "stdev", "s2", "sum"]


# # Calculates a derivative for every field.
# [[aggregators.derivative]]
#   ## The period in which to flush the aggregator.
#   period = "30s"
#   ##
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#   ##
#   ## This aggregator will estimate a derivative for each field, which is
#   ## contained in both the first and last metric of the aggregation interval.
#   ## Without further configuration the derivative will be calculated with
#   ## respect to the time difference between these two measurements in seconds.
#   ## The formula applied is for every field:
#   ##
#   ##               value_last - value_first
#   ## derivative = --------------------------
#   ##              time_difference_in_seconds
#   ##
#   ## The resulting derivative will be named *fieldname_rate*. The suffix
#   ## "_rate" can be configured by the *suffix* parameter. When using a
#   ## derivation variable you can include its name for more clarity.
#   # suffix = "_rate"
#   ##
#   ## As an abstraction the derivative can be calculated not only by the time
#   ## difference but by the difference of a field, which is contained in the
#   ## measurement. This field is assumed to be monotonously increasing. This
#   ## feature is used by specifying a *variable*.
#   ## Make sure the specified variable is not filtered and exists in the metrics
#   ## passed to this aggregator!
#   # variable = ""
#   ##
#   ## When using a field as the derivation parameter the name of that field will
#   ## be used for the resulting derivative, e.g. *fieldname_by_parameter*.
#   ##
#   ## Note, that the calculation is based on the actual timestamp of the
#   ## measurements. When there is only one measurement during that period, the
#   ## measurement will be rolled over to the next period. The maximum number of
#   ## such roll-overs can be configured with a default of 10.
#   # max_roll_over = 10
#   ##


# # Report the final metric of a series
# [[aggregators.final]]
#   ## The period on which to flush & clear the aggregator.
#   period = "30s"
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#
#   ## The time that a series is not updated until considering it final.
#   series_timeout = "5m"


# # Create aggregate histograms.
# [[aggregators.histogram]]
#   ## The period in which to flush the aggregator.
#   period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#
#   ## If true, the histogram will be reset on flush instead
#   ## of accumulating the results.
#   reset = false
#
#   ## Whether bucket values should be accumulated. If set to false, "gt" tag will be added.
#   ## Defaults to true.
#   cumulative = true
#
#   ## Example config that aggregates all fields of the metric.
#   # [[aggregators.histogram.config]]
#   #   ## Right borders of buckets (with +Inf implicitly added).
#   #   buckets = [0.0, 15.6, 34.5, 49.1, 71.5, 80.5, 94.5, 100.0]
#   #   ## The name of metric.
#   #   measurement_name = "cpu"
#
#   ## Example config that aggregates only specific fields of the metric.
#   # [[aggregators.histogram.config]]
#   #   ## Right borders of buckets (with +Inf implicitly added).
#   #   buckets = [0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]
#   #   ## The name of metric.
#   #   measurement_name = "diskio"
#   #   ## The concrete fields of metric
#   #   fields = ["io_time", "read_time", "write_time"]


# # Merge metrics into multifield metrics by series key
# [[aggregators.merge]]
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = true


# # Keep the aggregate min/max of each metric passing through.
# [[aggregators.minmax]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush & clear the aggregator.
#   period = "30s"
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false


# # Keep the aggregate quantiles of each metric passing through.
# [[aggregators.quantile]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush & clear the aggregator.
#   period = "30s"
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#
#   ## Quantiles to output in the range [0,1]
#   # quantiles = [0.25, 0.5, 0.75]
#
#   ## Type of aggregation algorithm
#   ## Supported are:
#   ##  "t-digest" -- approximation using centroids, can cope with large number of samples
#   ##  "exact R7" -- exact computation also used by Excel or NumPy (Hyndman & Fan 1996 R7)
#   ##  "exact R8" -- exact computation (Hyndman & Fan 1996 R8)
#   ## NOTE: Do not use "exact" algorithms with large number of samples
#   ##       to not impair performance or memory consumption!
#   # algorithm = "t-digest"
#
#   ## Compression for approximation (t-digest). The value needs to be
#   ## greater or equal to 1.0. Smaller values will result in more
#   ## performance but less accuracy.
#   # compression = 100.0


# # Count the occurrence of values in fields.
# [[aggregators.valuecounter]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush & clear the aggregator.
#   period = "30s"
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#   ## The fields for which the values will be counted
#   fields = []


###############################################################################
#                            INPUT PLUGINS                                    #
###############################################################################


# Read metrics about cpu usage
[[inputs.cpu]]
  ## Whether to report per-cpu stats or not
  percpu = true
  ## Whether to report total system cpu stats or not
  totalcpu = true
  ## If true, collect raw CPU time metrics
  collect_cpu_time = false
  ## If true, compute and report the sum of all non-idle CPU states
  report_active = false


# Read metrics about disk usage by mount point
[[inputs.disk]]
  ## By default stats will be gathered for all mount points.
  ## Set mount_points will restrict the stats to only the specified mount points.
  # mount_points = ["/"]

  ## Ignore mount points by filesystem type.
  ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]


# Read metrics about disk IO by device
[[inputs.diskio]]
  ## By default, telegraf will gather stats for all devices including
  ## disk partitions.
  ## Setting devices will restrict the stats to the specified devices.
  # devices = ["sda", "sdb", "vd*"]
  ## Uncomment the following line if you need disk serial numbers.
  # skip_serial_number = false
  #
  ## On systems which support it, device metadata can be added in the form of
  ## tags.
  ## Currently only Linux is supported via udev properties. You can view
  ## available properties for a device by running:
  ## 'udevadm info -q property -n /dev/sda'
  ## Note: Most, but not all, udev properties can be accessed this way. Properties
  ## that are currently inaccessible include DEVTYPE, DEVNAME, and DEVPATH.
  # device_tags = ["ID_FS_TYPE", "ID_FS_USAGE"]
  #
  ## Using the same metadata source as device_tags, you can also customize the
  ## name of the device via templates.
  ## The 'name_templates' parameter is a list of templates to try and apply to
  ## the device. The template may contain variables in the form of '$PROPERTY' or
  ## '${PROPERTY}'. The first template which does not contain any variables not
  ## present for the device is used as the device name tag.
  ## The typical use case is for LVM volumes, to get the VG/LV name instead of
  ## the near-meaningless DM-0 name.
  # name_templates = ["$ID_FS_LABEL","$DM_VG_NAME/$DM_LV_NAME"]


# Get kernel statistics from /proc/stat
[[inputs.kernel]]
  # no configuration


# Read metrics about memory usage
[[inputs.mem]]
  # no configuration


# Get the number of processes and group them by status
[[inputs.processes]]
  # no configuration


# Read metrics about swap memory usage
[[inputs.swap]]
  # no configuration


# Read metrics about system load & uptime
[[inputs.system]]
  ## Uncomment to remove deprecated metrics.
  # fielddrop = ["uptime_format"]


# # Gather ActiveMQ metrics
# [[inputs.activemq]]
#   ## ActiveMQ WebConsole URL
#   url = "http://127.0.0.1:8161"
#
#   ## Required ActiveMQ Endpoint
#   ##   deprecated in 1.11; use the url option
#   # server = "127.0.0.1"
#   # port = 8161
#
#   ## Credentials for basic HTTP authentication
#   # username = "admin"
#   # password = "admin"
#
#   ## Required ActiveMQ webadmin root path
#   # webadmin = "admin"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read stats from aerospike server(s)
# [[inputs.aerospike]]
#   ## Aerospike servers to connect to (with port)
#   ## This plugin will query all namespaces the aerospike
#   ## server has configured and get stats for them.
#   servers = ["localhost:3000"]
#
#   # username = "telegraf"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # enable_tls = false
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## If false, skip chain & host verification
#   # insecure_skip_verify = true
#
#   # Feature Options
#   # Add namespace variable to limit the namespaces executed on
#   # Leave blank to do all
#   # disable_query_namespaces = true # default false
#   # namespaces = ["namespace1", "namespace2"]
#
#   # Enable set level telemetry
#   # query_sets = true # default: false
#   # Add namespace set combinations to limit sets executed on
#   # Leave blank to do all sets
#   # sets = ["namespace1/set1", "namespace1/set2", "namespace3"]
#
#   # Histograms
#   # enable_ttl_histogram = true # default: false
#   # enable_object_size_linear_histogram = true # default: false
#
#   # by default, aerospike produces a 100 bucket histogram
#   # this is not great for most graphing tools, this will allow
#   # the ability to squash this to a smaller number of buckets
#   # To have a balanced histogram, the number of buckets chosen
#   # should divide evenly into 100.
#   # num_histogram_buckets = 100 # default: 10


# # Query statistics from AMD Graphics cards using rocm-smi binary
# [[inputs.amd_rocm_smi]]
# ## Optional: path to rocm-smi binary, defaults to $PATH via exec.LookPath
# # bin_path = "/opt/rocm/bin/rocm-smi"
#
# ## Optional: timeout for GPU polling
# # timeout = "5s"


# # Read Apache status information (mod_status)
# [[inputs.apache]]
#   ## An array of URLs to gather from, must be directed at the machine
#   ## readable version of the mod_status page including the auto query string.
#   ## Default is "http://localhost/server-status?auto".
#   urls = ["http://localhost/server-status?auto"]
#
#   ## Credentials for basic HTTP authentication.
#   # username = "myuser"
#   # password = "mypassword"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Monitor APC UPSes connected to apcupsd
# [[inputs.apcupsd]]
#   # A list of running apcupsd server to connect to.
#   # If not provided will default to tcp://127.0.0.1:3551
#   servers = ["tcp://127.0.0.1:3551"]
#
#   ## Timeout for dialing server.
#   timeout = "5s"


# # Gather metrics from Apache Aurora schedulers
# [[inputs.aurora]]
#   ## Schedulers are the base addresses of your Aurora Schedulers
#   schedulers = ["http://127.0.0.1:8081"]
#
#   ## Set of role types to collect metrics from.
#   ##
#   ## The scheduler roles are checked each interval by contacting the
#   ## scheduler nodes; zookeeper is not contacted.
#   # roles = ["leader", "follower"]
#
#   ## Timeout is the max time for total network operations.
#   # timeout = "5s"
#
#   ## Username and password are sent using HTTP Basic Auth.
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Gather Azure Storage Queue metrics
# [[inputs.azure_storage_queue]]
#   ## Required Azure Storage Account name
#   account_name = "mystorageaccount"
#
#   ## Required Azure Storage Account access key
#   account_key = "storageaccountaccesskey"
#
#   ## Set to false to disable peeking age of oldest message (executes faster)
#   # peek_oldest_message_age = true


# # Collects Beanstalkd server and tubes stats
# [[inputs.beanstalkd]]
#   ## Server to collect data from
#   server = "localhost:11300"
#
#   ## List of tubes to gather stats about.
#   ## If no tubes specified then data gathered for each tube on server reported by list-tubes command
#   tubes = ["notifications"]


# # Read metrics exposed by Beat
# [[inputs.beat]]
#   ## An URL from which to read Beat-formatted JSON
#   ## Default is "http://127.0.0.1:5066".
#   url = "http://127.0.0.1:5066"
#
#   ## Enable collection of the listed stats
#   ## An empty list means collect all. Available options are currently
#   ## "beat", "libbeat", "system" and "filebeat".
#   # include = ["beat", "libbeat", "filebeat"]
#
#   ## HTTP method
#   # method = "GET"
#
#   ## Optional HTTP headers
#   # headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Override HTTP "Host" header
#   # host_header = "logstash.example.com"
#
#   ## Timeout for HTTP requests
#   # timeout = "5s"
#
#   ## Optional HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read BIND nameserver XML statistics
# [[inputs.bind]]
#   ## An array of BIND XML statistics URI to gather stats.
#   ## Default is "http://localhost:8053/xml/v3".
#   # urls = ["http://localhost:8053/xml/v3"]
#   # gather_memory_contexts = false
#   # gather_views = false
#
#   ## Timeout for http requests made by bind nameserver
#   # timeout = "4s"


# # Collect bond interface status, slaves statuses and failures count
# [[inputs.bond]]
#   ## Sets 'proc' directory path
#   ## If not specified, then default is /proc
#   # host_proc = "/proc"
#
#   ## By default, telegraf gather stats for all bond interfaces
#   ## Setting interfaces will restrict the stats to the specified
#   ## bond interfaces.
#   # bond_interfaces = ["bond0"]


# # Collect Kafka topics and consumers status from Burrow HTTP API.
# [[inputs.burrow]]
#   ## Burrow API endpoints in format "schema://host:port".
#   ## Default is "http://localhost:8000".
#   servers = ["http://localhost:8000"]
#
#   ## Override Burrow API prefix.
#   ## Useful when Burrow is behind reverse-proxy.
#   # api_prefix = "/v3/kafka"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Limit per-server concurrent connections.
#   ## Useful in case of large number of topics or consumer groups.
#   # concurrent_connections = 20
#
#   ## Filter clusters, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # clusters_include = []
#   # clusters_exclude = []
#
#   ## Filter consumer groups, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # groups_include = []
#   # groups_exclude = []
#
#   ## Filter topics, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # topics_include = []
#   # topics_exclude = []
#
#   ## Credentials for basic HTTP authentication.
#   # username = ""
#   # password = ""
#
#   ## Optional SSL config
#   # ssl_ca = "/etc/telegraf/ca.pem"
#   # ssl_cert = "/etc/telegraf/cert.pem"
#   # ssl_key = "/etc/telegraf/key.pem"
#   # insecure_skip_verify = false


# # Collects performance metrics from the MON, OSD, MDS and RGW nodes in a Ceph storage cluster.
# [[inputs.ceph]]
#   ## This is the recommended interval to poll.  Too frequent and you will lose
#   ## data points due to timeouts during rebalancing and recovery
#   interval = '1m'
#
#   ## All configuration values are optional, defaults are shown below
#
#   ## location of ceph binary
#   ceph_binary = "/usr/bin/ceph"
#
#   ## directory in which to look for socket files
#   socket_dir = "/var/run/ceph"
#
#   ## prefix of MON and OSD socket files, used to determine socket type
#   mon_prefix = "ceph-mon"
#   osd_prefix = "ceph-osd"
#   mds_prefix = "ceph-mds"
#   rgw_prefix = "ceph-client"
#
#   ## suffix used to identify socket files
#   socket_suffix = "asok"
#
#   ## Ceph user to authenticate as, ceph will search for the corresponding keyring
#   ## e.g. client.admin.keyring in /etc/ceph, or the explicit path defined in the
#   ## client section of ceph.conf for example:
#   ##
#   ##     [client.telegraf]
#   ##         keyring = /etc/ceph/client.telegraf.keyring
#   ##
#   ## Consult the ceph documentation for more detail on keyring generation.
#   ceph_user = "client.admin"
#
#   ## Ceph configuration to use to locate the cluster
#   ceph_config = "/etc/ceph/ceph.conf"
#
#   ## Whether to gather statistics via the admin socket
#   gather_admin_socket_stats = true
#
#   ## Whether to gather statistics via ceph commands, requires ceph_user and ceph_config
#   ## to be specified
#   gather_cluster_stats = false


# # Read specific statistics per cgroup
# [[inputs.cgroup]]
#   ## Directories in which to look for files, globs are supported.
#   ## Consider restricting paths to the set of cgroups you really
#   ## want to monitor if you have a large number of cgroups, to avoid
#   ## any cardinality issues.
#   # paths = [
#   #   "/sys/fs/cgroup/memory",
#   #   "/sys/fs/cgroup/memory/child1",
#   #   "/sys/fs/cgroup/memory/child2/*",
#   # ]
#   ## cgroup stat fields, as file names, globs are supported.
#   ## these file names are appended to each path from above.
#   # files = ["memory.*usage*", "memory.limit_in_bytes"]


# # Get standard chrony metrics, requires chronyc executable.
# [[inputs.chrony]]
#   ## If true, chronyc tries to perform a DNS lookup for the time server.
#   # dns_lookup = false


# # Pull Metric Statistics from Amazon CloudWatch
# [[inputs.cloudwatch]]
#   ## Amazon Region
#   region = "us-east-1"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   # access_key = ""
#   # secret_key = ""
#   # token = ""
#   # role_arn = ""
#   # web_identity_token_file = ""
#   # role_session_name = ""
#   # profile = ""
#   # shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)
#   # http_proxy_url = "http://localhost:8888"
#
#   # The minimum period for Cloudwatch metrics is 1 minute (60s). However not all
#   # metrics are made available to the 1 minute period. Some are collected at
#   # 3 minute, 5 minute, or larger intervals. See https://aws.amazon.com/cloudwatch/faqs/#monitoring.
#   # Note that if a period is configured that is smaller than the minimum for a
#   # particular metric, that metric will not be returned by the Cloudwatch API
#   # and will not be collected by Telegraf.
#   #
#   ## Requested CloudWatch aggregation Period (required - must be a multiple of 60s)
#   period = "5m"
#
#   ## Collection Delay (required - must account for metrics availability via CloudWatch API)
#   delay = "5m"
#
#   ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
#   ## gaps or overlap in pulled data
#   interval = "5m"
#
#   ## Recommended if "delay" and "period" are both within 3 hours of request time. Invalid values will be ignored.
#   ## Recently Active feature will only poll for CloudWatch ListMetrics values that occurred within the last 3 Hours.
#   ## If enabled, it will reduce total API usage of the CloudWatch ListMetrics API and require less memory to retain.
#   ## Do not enable if "period" or "delay" is longer than 3 hours, as it will not return data more than 3 hours old.
#   ## See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_ListMetrics.html
#   #recently_active = "PT3H"
#
#   ## Configure the TTL for the internal cache of metrics.
#   # cache_ttl = "1h"
#
#   ## Metric Statistic Namespaces (required)
#   namespaces = ["AWS/ELB"]
#   # A single metric statistic namespace that will be appended to namespaces on startup
#   # namespace = "AWS/ELB"
#
#   ## Maximum requests per second. Note that the global default AWS rate limit is
#   ## 50 reqs/sec, so if you define multiple namespaces, these should add up to a
#   ## maximum of 50.
#   ## See http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html
#   # ratelimit = 25
#
#   ## Timeout for http requests made by the cloudwatch client.
#   # timeout = "5s"
#
#   ## Namespace-wide statistic filters. These allow fewer queries to be made to
#   ## cloudwatch.
#   # statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ]
#   # statistic_exclude = []
#
#   ## Metrics to Pull
#   ## Defaults to all Metrics in Namespace if nothing is provided
#   ## Refreshes Namespace available metrics every 1h
#   #[[inputs.cloudwatch.metrics]]
#   #  names = ["Latency", "RequestCount"]
#   #
#   #  ## Statistic filters for Metric.  These allow for retrieving specific
#   #  ## statistics for an individual metric.
#   #  # statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ]
#   #  # statistic_exclude = []
#   #
#   #  ## Dimension filters for Metric.  All dimensions defined for the metric names
#   #  ## must be specified in order to retrieve the metric statistics.
#   #  ## 'value' has wildcard / 'glob' matching support such as 'p-*'.
#   #  [[inputs.cloudwatch.metrics.dimensions]]
#   #    name = "LoadBalancerName"
#   #    value = "p-example"


# # Gather health check statuses from services registered in Consul
# [[inputs.consul]]
#   ## Consul server address
#   # address = "localhost:8500"
#
#   ## URI scheme for the Consul server, one of "http", "https"
#   # scheme = "http"
#
#   ## Metric version controls the mapping from Consul metrics into
#   ## Telegraf metrics.
#   ##
#   ##   example: metric_version = 1; deprecated in 1.15
#   ##            metric_version = 2; recommended version
#   # metric_version = 1
#
#   ## ACL token used in every request
#   # token = ""
#
#   ## HTTP Basic Authentication username and password.
#   # username = ""
#   # password = ""
#
#   ## Data center to query the health checks from
#   # datacenter = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = true
#
#   ## Consul checks' tag splitting
#   # When tags are formatted like "key:value" with ":" as a delimiter then
#   # they will be splitted and reported as proper key:value in Telegraf
#   # tag_delimiter = ":"


# # Read per-node and per-bucket metrics from Couchbase
# [[inputs.couchbase]]
#   ## specify servers via a url matching:
#   ##  [protocol://][:password]@address[:port]
#   ##  e.g.
#   ##    http://couchbase-0.example.com/
#   ##    http://admin:secret@couchbase-0.example.com:8091/
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no protocol is specified, HTTP is used.
#   ## If no port is specified, 8091 is used.
#   servers = ["http://localhost:8091"]
#
#   ## Filter bucket fields to include only here.
#   # bucket_stats_included = ["quota_percent_used", "ops_per_sec", "disk_fetches", "item_count", "disk_used", "data_used", "mem_used"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification (defaults to false)
#   ## If set to false, tls_cert and tls_key are required
#   # insecure_skip_verify = false


# # Read CouchDB Stats from one or more servers
# [[inputs.couchdb]]
#   ## Works with CouchDB stats endpoints out of the box
#   ## Multiple Hosts from which to read CouchDB stats:
#   hosts = ["http://localhost:8086/_stats"]
#
#   ## Use HTTP Basic Authentication.
#   # basic_username = "telegraf"
#   # basic_password = "p@ssw0rd"


# # Fetch metrics from a CSGO SRCDS
# [[inputs.csgo]]
#   ## Specify servers using the following format:
#   ##    servers = [
#   ##      ["ip1:port1", "rcon_password1"],
#   ##      ["ip2:port2", "rcon_password2"],
#   ##    ]
#   #
#   ## If no servers are specified, no data will be collected
#   servers = []


# # Input plugin for DC/OS metrics
# [[inputs.dcos]]
#   ## The DC/OS cluster URL.
#   cluster_url = "https://dcos-ee-master-1"
#
#   ## The ID of the service account.
#   service_account_id = "telegraf"
#   ## The private key file for the service account.
#   service_account_private_key = "/etc/telegraf/telegraf-sa-key.pem"
#
#   ## Path containing login token.  If set, will read on every gather.
#   # token_file = "/home/dcos/.dcos/token"
#
#   ## In all filter options if both include and exclude are empty all items
#   ## will be collected.  Arrays may contain glob patterns.
#   ##
#   ## Node IDs to collect metrics from.  If a node is excluded, no metrics will
#   ## be collected for its containers or apps.
#   # node_include = []
#   # node_exclude = []
#   ## Container IDs to collect container metrics from.
#   # container_include = []
#   # container_exclude = []
#   ## Container IDs to collect app metrics from.
#   # app_include = []
#   # app_exclude = []
#
#   ## Maximum concurrent connections to the cluster.
#   # max_connections = 10
#   ## Maximum time to receive a response from cluster.
#   # response_timeout = "20s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## If false, skip chain & host verification
#   # insecure_skip_verify = true
#
#   ## Recommended filtering to reduce series cardinality.
#   # [inputs.dcos.tagdrop]
#   #   path = ["/var/lib/mesos/slave/slaves/*"]


# # Read metrics from one or many disque servers
# [[inputs.disque]]
#   ## An array of URI to gather stats about. Specify an ip or hostname
#   ## with optional port and password.
#   ## ie disque://localhost, disque://10.10.3.33:18832, 10.0.0.1:10000, etc.
#   ## If no servers are specified, then localhost is used as the host.
#   servers = ["localhost"]


# # Provide a native collection for dmsetup based statistics for dm-cache
# [[inputs.dmcache]]
#   ## Whether to report per-device stats or not
#   per_device = true


# # Query given DNS server and gives statistics
# [[inputs.dns_query]]
#   ## servers to query
#   servers = ["8.8.8.8"]
#
#   ## Network is the network protocol name.
#   # network = "udp"
#
#   ## Domains or subdomains to query.
#   # domains = ["."]
#
#   ## Query record type.
#   ## Possible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV.
#   # record_type = "A"
#
#   ## Dns server port.
#   # port = 53
#
#   ## Query timeout in seconds.
#   # timeout = 2


# # Read metrics about docker containers
# [[inputs.docker]]
#   ## Docker Endpoint
#   ##   To use TCP, set endpoint = "tcp://[ip]:[port]"
#   ##   To use environment variables (ie, docker-machine), set endpoint = "ENV"
#   endpoint = "unix:///var/run/docker.sock"
#
#   ## Set to true to collect Swarm metrics(desired_replicas, running_replicas)
#   gather_services = false
#
#   ## Only collect metrics for these containers, collect all if empty
#   container_names = []
#
#   ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
#   source_tag = false
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   container_name_include = []
#   container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the "running" state will be captured.
#   ## example: container_state_include = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]
#   ## example: container_state_exclude = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]
#   # container_state_include = []
#   # container_state_exclude = []
#
#   ## Timeout for docker list, info, and stats commands
#   timeout = "5s"
#
#   ## Whether to report for each container per-device blkio (8:0, 8:1...),
#   ## network (eth0, eth1, ...) and cpu (cpu0, cpu1, ...) stats or not.
#   ## Usage of this setting is discouraged since it will be deprecated in favor of 'perdevice_include'.
#   ## Default value is 'true' for backwards compatibility, please set it to 'false' so that 'perdevice_include' setting
#   ## is honored.
#   perdevice = true
#
#   ## Specifies for which classes a per-device metric should be issued
#   ## Possible values are 'cpu' (cpu0, cpu1, ...), 'blkio' (8:0, 8:1, ...) and 'network' (eth0, eth1, ...)
#   ## Please note that this setting has no effect if 'perdevice' is set to 'true'
#   # perdevice_include = ["cpu"]
#
#   ## Whether to report for each container total blkio and network stats or not.
#   ## Usage of this setting is discouraged since it will be deprecated in favor of 'total_include'.
#   ## Default value is 'false' for backwards compatibility, please set it to 'true' so that 'total_include' setting
#   ## is honored.
#   total = false
#
#   ## Specifies for which classes a total metric should be issued. Total is an aggregated of the 'perdevice' values.
#   ## Possible values are 'cpu', 'blkio' and 'network'
#   ## Total 'cpu' is reported directly by Docker daemon, and 'network' and 'blkio' totals are aggregated by this plugin.
#   ## Please note that this setting has no effect if 'total' is set to 'false'
#   # total_include = ["cpu", "blkio", "network"]
#
#   ## Which environment variables should we use as a tag
#   ##tag_env = ["JAVA_HOME", "HEAP_SIZE"]
#
#   ## docker labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   docker_label_include = []
#   docker_label_exclude = []
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read statistics from one or many dovecot servers
# [[inputs.dovecot]]
#   ## specify dovecot servers via an address:port list
#   ##  e.g.
#   ##    localhost:24242
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   servers = ["localhost:24242"]
#
#   ## Type is one of "user", "domain", "ip", or "global"
#   type = "global"
#
#   ## Wildcard matches like "*.com". An empty string "" is same as "*"
#   ## If type = "ip" filters should be <IP/network>
#   filters = [""]


# # Read metrics about docker containers from Fargate/ECS v2, v3 meta endpoints.
# [[inputs.ecs]]
#   ## ECS metadata url.
#   ## Metadata v2 API is used if set explicitly. Otherwise,
#   ## v3 metadata endpoint API is used if available.
#   # endpoint_url = ""
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   # container_name_include = []
#   # container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the "RUNNING" state will be captured.
#   ## Possible values are "NONE", "PULLED", "CREATED", "RUNNING",
#   ## "RESOURCES_PROVISIONED", "STOPPED".
#   # container_status_include = []
#   # container_status_exclude = []
#
#   ## ecs labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   ecs_label_include = [ "com.amazonaws.ecs.*" ]
#   ecs_label_exclude = []
#
#   ## Timeout for queries.
#   # timeout = "5s"


# # Read stats from one or more Elasticsearch servers or clusters
# [[inputs.elasticsearch]]
#   ## specify a list of one or more Elasticsearch servers
#   # you can add username and password to your url to use basic authentication:
#   # servers = ["http://user:pass@localhost:9200"]
#   servers = ["http://localhost:9200"]
#
#   ## Timeout for HTTP requests to the elastic search server(s)
#   http_timeout = "5s"
#
#   ## When local is true (the default), the node will read only its own stats.
#   ## Set local to false when you want to read the node stats from all nodes
#   ## of the cluster.
#   local = true
#
#   ## Set cluster_health to true when you want to also obtain cluster health stats
#   cluster_health = false
#
#   ## Adjust cluster_health_level when you want to also obtain detailed health stats
#   ## The options are
#   ##  - indices (default)
#   ##  - cluster
#   # cluster_health_level = "indices"
#
#   ## Set cluster_stats to true when you want to also obtain cluster stats.
#   cluster_stats = false
#
#   ## Only gather cluster_stats from the master node. To work this require local = true
#   cluster_stats_only_from_master = true
#
#   ## Indices to collect; can be one or more indices names or _all
#   ## Use of wildcards is allowed. Use a wildcard at the end to retrieve index names that end with a changing value, like a date.
#   indices_include = ["_all"]
#
#   ## One of "shards", "cluster", "indices"
#   indices_level = "shards"
#
#   ## node_stats is a list of sub-stats that you want to have gathered. Valid options
#   ## are "indices", "os", "process", "jvm", "thread_pool", "fs", "transport", "http",
#   ## "breaker". Per default, all stats are gathered.
#   # node_stats = ["jvm", "http"]
#
#   ## HTTP Basic Authentication username and password.
#   # username = ""
#   # password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Sets the number of most recent indices to return for indices that are configured with a date-stamped suffix.
#   ## Each 'indices_include' entry ending with a wildcard (*) or glob matching pattern will group together all indices that match it, and sort them
#   ## by the date or number after the wildcard. Metrics then are gathered for only the 'num_most_recent_indices' amount of most recent indices.
#   # num_most_recent_indices = 0


# # Derive metrics from aggregating Elasticsearch query results
# [[inputs.elasticsearch_query]]
#   ## The full HTTP endpoint URL for your Elasticsearch instance
#   ## Multiple urls can be specified as part of the same cluster,
#   ## this means that only ONE of the urls will be written to each interval.
#   urls = [ "http://node1.es.example.com:9200" ] # required.
#
#   ## Elasticsearch client timeout, defaults to "5s".
#   # timeout = "5s"
#
#   ## Set to true to ask Elasticsearch a list of all cluster nodes,
#   ## thus it is not necessary to list all nodes in the urls config option
#   # enable_sniffer = false
#
#   ## Set the interval to check if the Elasticsearch nodes are available
#   ## This option is only used if enable_sniffer is also set (0s to disable it)
#   # health_check_interval = "10s"
#
#   ## HTTP basic authentication details (eg. when using x-pack)
#   # username = "telegraf"
#   # password = "mypassword"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   [[inputs.elasticsearch_query.aggregation]]
#     ## measurement name for the results of the aggregation query
#     measurement_name = "measurement"
#
#     ## Elasticsearch indexes to query (accept wildcards).
#     index = "index-*"
#
#     ## The date/time field in the Elasticsearch index (mandatory).
#     date_field = "@timestamp"
#
#     ## If the field used for the date/time field in Elasticsearch is also using
#     ## a custom date/time format it may be required to provide the format to
#     ## correctly parse the field.
#     ##
#     ## If using one of the built in elasticsearch formats this is not required.
#     # date_field_custom_format = ""
#
#     ## Time window to query (eg. "1m" to query documents from last minute).
#     ## Normally should be set to same as collection interval
#     query_period = "1m"
#
#     ## Lucene query to filter results
#     # filter_query = "*"
#
#     ## Fields to aggregate values (must be numeric fields)
#     # metric_fields = ["metric"]
#
#     ## Aggregation function to use on the metric fields
#     ## Must be set if 'metric_fields' is set
#     ## Valid values are: avg, sum, min, max, sum
#     # metric_function = "avg"
#
#     ## Fields to be used as tags
#     ## Must be text, non-analyzed fields. Metric aggregations are performed per tag
#     # tags = ["field.keyword", "field2.keyword"]
#
#     ## Set to true to not ignore documents when the tag(s) above are missing
#     # include_missing_tag = false
#
#     ## String value of the tag when the tag does not exist
#     ## Used when include_missing_tag is true
#     # missing_tag_value = "null"


# # Returns ethtool statistics for given interfaces
# [[inputs.ethtool]]
#   ## List of interfaces to pull metrics for
#   # interface_include = ["eth0"]
#
#   ## List of interfaces to ignore when pulling metrics.
#   # interface_exclude = ["eth1"]


# # Read metrics from one or more commands that can output to stdout
# [[inputs.exec]]
#   ## Commands array
#   commands = [
#     "/tmp/test.sh",
#     "/usr/bin/mycollector --foo=bar",
#     "/tmp/collect_*.sh"
#   ]
#
#   ## Timeout for each command to complete.
#   timeout = "5s"
#
#   ## measurement name suffix (for separating different commands)
#   name_suffix = "_mycollector"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read metrics from fail2ban.
# [[inputs.fail2ban]]
#   ## Use sudo to run fail2ban-client
#   use_sudo = false


# # Read devices value(s) from a Fibaro controller
# [[inputs.fibaro]]
#   ## Required Fibaro controller address/hostname.
#   ## Note: at the time of writing this plugin, Fibaro only implemented http - no https available
#   url = "http://<controller>:80"
#
#   ## Required credentials to access the API (http://<controller/api/<component>)
#   username = "<username>"
#   password = "<password>"
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"


# # Parse a complete file each interval
# [[inputs.file]]
#   ## Files to parse each interval.  Accept standard unix glob matching rules,
#   ## as well as ** to match recursive files and directories.
#   files = ["/tmp/metrics.out"]
#
#
#   ## Name a tag containing the name of the file the data was parsed from.  Leave empty
#   ## to disable. Cautious when file name variation is high, this can increase the cardinality
#   ## significantly. Read more about cardinality here:
#   ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
#   # file_tag = ""
#   #
#
#   ## Character encoding to use when interpreting the file contents.  Invalid
#   ## characters are replaced using the unicode replacement character.  When set
#   ## to the empty string the data is not decoded to text.
#   ##   ex: character_encoding = "utf-8"
#   ##       character_encoding = "utf-16le"
#   ##       character_encoding = "utf-16be"
#   ##       character_encoding = ""
#   # character_encoding = ""
#
#   ## The dataformat to be read from files
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Count files in a directory
# [[inputs.filecount]]
#   ## Directory to gather stats about.
#   ##   deprecated in 1.9; use the directories option
#   # directory = "/var/cache/apt/archives"
#
#   ## Directories to gather stats about.
#   ## This accept standard unit glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   /var/log/**    -> recursively find all directories in /var/log and count files in each directories
#   ##   /var/log/*/*   -> find all directories with a parent dir in /var/log and count files in each directories
#   ##   /var/log       -> count all files in /var/log and all of its subdirectories
#   directories = ["/var/cache/apt/archives"]
#
#   ## Only count files that match the name pattern. Defaults to "*".
#   name = "*.deb"
#
#   ## Count files in subdirectories. Defaults to true.
#   recursive = false
#
#   ## Only count regular files. Defaults to true.
#   regular_only = true
#
#   ## Follow all symlinks while walking the directory tree. Defaults to false.
#   follow_symlinks = false
#
#   ## Only count files that are at least this size. If size is
#   ## a negative number, only count files that are smaller than the
#   ## absolute value of size. Acceptable units are B, KiB, MiB, KB, ...
#   ## Without quotes and units, interpreted as size in bytes.
#   size = "0B"
#
#   ## Only count files that have not been touched for at least this
#   ## duration. If mtime is negative, only count files that have been
#   ## touched in this duration. Defaults to "0s".
#   mtime = "0s"


# # Read stats about given file(s)
# [[inputs.filestat]]
#   ## Files to gather stats about.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   "/var/log/**.log"  -> recursively find all .log files in /var/log
#   ##   "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log
#   ##   "/var/log/apache.log" -> just tail the apache log file
#   ##
#   ## See https://github.com/gobwas/glob for more examples
#   ##
#   files = ["/var/log/**.log"]
#
#   ## If true, read the entire file and calculate an md5 checksum.
#   md5 = false


# # Read real time temps from fireboard.io servers
# [[inputs.fireboard]]
#   ## Specify auth token for your account
#   auth_token = "invalidAuthToken"
#   ## You can override the fireboard server URL if necessary
#   # url = https://fireboard.io/api/v1/devices.json
#   ## You can set a different http_timeout if you need to
#   ## You should set a string using an number and time indicator
#   ## for example "12s" for 12 seconds.
#   # http_timeout = "4s"


# # Read metrics exposed by fluentd in_monitor plugin
# [[inputs.fluentd]]
#   ## This plugin reads information exposed by fluentd (using /api/plugins.json endpoint).
#   ##
#   ## Endpoint:
#   ## - only one URI is allowed
#   ## - https is not supported
#   endpoint = "http://localhost:24220/api/plugins.json"
#
#   ## Define which plugins have to be excluded (based on "type" field - e.g. monitor_agent)
#   exclude = [
#     "monitor_agent",
#     "dummy",
#   ]


# # Gather repository information from GitHub hosted repositories.
# [[inputs.github]]
#   ## List of repositories to monitor.
#   repositories = [
#     "influxdata/telegraf",
#     "influxdata/influxdb"
#   ]
#
#   ## Github API access token.  Unauthenticated requests are limited to 60 per hour.
#   # access_token = ""
#
#   ## Github API enterprise url. Github Enterprise accounts must specify their base url.
#   # enterprise_base_url = ""
#
#   ## Timeout for HTTP requests.
#   # http_timeout = "5s"
#
#   ## List of additional fields to query.
#   ## NOTE: Getting those fields might involve issuing additional API-calls, so please
#   ##       make sure you do not exceed the rate-limit of GitHub.
#   ##
#   ## Available fields are:
#   ##  - pull-requests         -- number of open and closed pull requests (2 API-calls per repository)
#   # additional_fields = []


# # Read flattened metrics from one or more GrayLog HTTP endpoints
# [[inputs.graylog]]
#   ## API endpoint, currently supported API:
#   ##
#   ##   - multiple  (Ex http://<host>:12900/system/metrics/multiple)
#   ##   - namespace (Ex http://<host>:12900/system/metrics/namespace/{namespace})
#   ##
#   ## For namespace endpoint, the metrics array will be ignored for that call.
#   ## Endpoint can contain namespace and multiple type calls.
#   ##
#   ## Please check http://[graylog-server-ip]:12900/api-browser for full list
#   ## of endpoints
#   servers = [
#     "http://[graylog-server-ip]:12900/system/metrics/multiple",
#   ]
#
#   ## Metrics list
#   ## List of metrics can be found on Graylog webservice documentation.
#   ## Or by hitting the the web service api at:
#   ##   http://[graylog-host]:12900/system/metrics
#   metrics = [
#     "jvm.cl.loaded",
#     "jvm.memory.pools.Metaspace.committed"
#   ]
#
#   ## Username and password
#   username = ""
#   password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics of haproxy, via socket or csv stats page
# [[inputs.haproxy]]
#   ## An array of address to gather stats about. Specify an ip on hostname
#   ## with optional port. ie localhost, 10.10.3.33:1936, etc.
#   ## Make sure you specify the complete path to the stats endpoint
#   ## including the protocol, ie http://10.10.3.33:1936/haproxy?stats
#
#   ## If no servers are specified, then default to 127.0.0.1:1936/haproxy?stats
#   servers = ["http://myhaproxy.com:1936/haproxy?stats"]
#
#   ## Credentials for basic HTTP authentication
#   # username = "admin"
#   # password = "admin"
#
#   ## You can also use local socket with standard wildcard globbing.
#   ## Server address not starting with 'http' will be treated as a possible
#   ## socket, so both examples below are valid.
#   # servers = ["socket:/run/haproxy/admin.sock", "/run/haproxy/*.sock"]
#
#   ## By default, some of the fields are renamed from what haproxy calls them.
#   ## Setting this option to true results in the plugin keeping the original
#   ## field names.
#   # keep_field_names = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Monitor disks' temperatures using hddtemp
# [[inputs.hddtemp]]
#   ## By default, telegraf gathers temps data from all disks detected by the
#   ## hddtemp.
#   ##
#   ## Only collect temps from the selected disks.
#   ##
#   ## A * as the device name will return the temperature values of all disks.
#   ##
#   # address = "127.0.0.1:7634"
#   # devices = ["sda", "*"]


# # Read formatted metrics from one or more HTTP endpoints
# [[inputs.http]]
#   ## One or more URLs from which to read formatted metrics
#   urls = [
#     "http://localhost/metrics"
#   ]
#
#   ## HTTP method
#   # method = "GET"
#
#   ## Optional HTTP headers
#   # headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Optional file with Bearer token
#   ## file content is added as an Authorization header
#   # bearer_token = "/path/to/file"
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## HTTP entity-body to send with POST/PUT requests.
#   # body = ""
#
#   ## HTTP Content-Encoding for write request body, can be set to "gzip" to
#   ## compress body or "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## HTTP Proxy support
#   # http_proxy_url = ""
#
#   ## OAuth2 Client Credentials Grant
#   # client_id = "clientid"
#   # client_secret = "secret"
#   # token_url = "https://indentityprovider/oauth2/v1/token"
#   # scopes = ["urn:opc:idm:__myscopes__"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional Cookie authentication
#   # cookie_auth_url = "https://localhost/authMe"
#   # cookie_auth_method = "POST"
#   # cookie_auth_username = "username"
#   # cookie_auth_password = "pa$$word"
#   # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
#   ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
#   # cookie_auth_renewal = "5m"
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## List of success status codes
#   # success_status_codes = [200]
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"


# # HTTP/HTTPS request given an address a method and a timeout
# [[inputs.http_response]]
#   ## Deprecated in 1.12, use 'urls'
#   ## Server address (default http://localhost)
#   # address = "http://localhost"
#
#   ## List of urls to query.
#   # urls = ["http://localhost"]
#
#   ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)
#   # http_proxy = "http://localhost:8888"
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## HTTP Request Method
#   # method = "GET"
#
#   ## Whether to follow redirects from the server (defaults to false)
#   # follow_redirects = false
#
#   ## Optional file with Bearer token
#   ## file content is added as an Authorization header
#   # bearer_token = "/path/to/file"
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional HTTP Request Body
#   # body = '''
#   # {'fake':'data'}
#   # '''
#
#   ## Optional name of the field that will contain the body of the response.
#   ## By default it is set to an empty String indicating that the body's content won't be added
#   # response_body_field = ''
#
#   ## Maximum allowed HTTP response body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   ## If the response body size exceeds this limit a "body_read_error" will be raised
#   # response_body_max_size = "32MiB"
#
#   ## Optional substring or regex match in body of the response (case sensitive)
#   # response_string_match = "\"service_status\": \"up\""
#   # response_string_match = "ok"
#   # response_string_match = "\".*_status\".?:.?\"up\""
#
#   ## Expected response status code.
#   ## The status code of the response is compared to this value. If they match, the field
#   ## "response_status_code_match" will be 1, otherwise it will be 0. If the
#   ## expected status code is 0, the check is disabled and the field won't be added.
#   # response_status_code = 0
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## HTTP Request Headers (all values must be strings)
#   # [inputs.http_response.headers]
#   #   Host = "github.com"
#
#   ## Optional setting to map response http headers into tags
#   ## If the http header is not present on the request, no corresponding tag will be added
#   ## If multiple instances of the http header are present, only the first value will be used
#   # http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}
#
#   ## Interface to use when dialing an address
#   # interface = "eth0"


# # Read flattened metrics from one or more JSON HTTP endpoints
# [[inputs.httpjson]]
#   ## NOTE This plugin only reads numerical measurements, strings and booleans
#   ## will be ignored.
#
#   ## Name for the service being polled.  Will be appended to the name of the
#   ## measurement e.g. httpjson_webserver_stats
#   ##
#   ## Deprecated (1.3.0): Use name_override, name_suffix, name_prefix instead.
#   name = "webserver_stats"
#
#   ## URL of each server in the service's cluster
#   servers = [
#     "http://localhost:9999/stats/",
#     "http://localhost:9998/stats/",
#   ]
#   ## Set response_timeout (default 5 seconds)
#   response_timeout = "5s"
#
#   ## HTTP method to use: GET or POST (case-sensitive)
#   method = "GET"
#
#   ## List of tag names to extract from top-level of JSON server response
#   # tag_keys = [
#   #   "my_tag_1",
#   #   "my_tag_2"
#   # ]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## HTTP parameters (all values must be strings).  For "GET" requests, data
#   ## will be included in the query.  For "POST" requests, data will be included
#   ## in the request body as "x-www-form-urlencoded".
#   # [inputs.httpjson.parameters]
#   #   event_type = "cpu_spike"
#   #   threshold = "0.75"
#
#   ## HTTP Headers (all values must be strings)
#   # [inputs.httpjson.headers]
#   #   X-Auth-Token = "my-xauth-token"
#   #   apiVersion = "v1"


# # Gather Icinga2 status
# [[inputs.icinga2]]
#   ## Required Icinga2 server address
#   # server = "https://localhost:5665"
#
#   ## Required Icinga2 object type ("services" or "hosts")
#   # object_type = "services"
#
#   ## Credentials for basic HTTP authentication
#   # username = "admin"
#   # password = "admin"
#
#   ## Maximum time to receive response.
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = true


# # Gets counters from all InfiniBand cards and ports installed
# [[inputs.infiniband]]
#   # no configuration


# # Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints
# [[inputs.influxdb]]
#   ## Works with InfluxDB debug endpoints out of the box,
#   ## but other services can use this format too.
#   ## See the influxdb plugin's README for more details.
#
#   ## Multiple URLs from which to read InfluxDB-formatted JSON
#   ## Default is "http://localhost:8086/debug/vars".
#   urls = [
#     "http://localhost:8086/debug/vars"
#   ]
#
#   ## Username and password to send using HTTP Basic Authentication.
#   # username = ""
#   # password = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## http request & header timeout
#   timeout = "5s"


# # Collect statistics about itself
# [[inputs.internal]]
#   ## If true, collect telegraf memory stats.
#   # collect_memstats = true


# # Monitors internet speed using speedtest.net service
# [[inputs.internet_speed]]
#   ## Sets if runs file download test
#   ## Default: false
#   enable_file_download = false


# # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.
# [[inputs.interrupts]]
#   ## When set to true, cpu metrics are tagged with the cpu.  Otherwise cpu is
#   ## stored as a field.
#   ##
#   ## The default is false for backwards compatibility, and will be changed to
#   ## true in a future version.  It is recommended to set to true on new
#   ## deployments.
#   # cpu_as_tag = false
#
#   ## To filter which IRQs to collect, make use of tagpass / tagdrop, i.e.
#   # [inputs.interrupts.tagdrop]
#   #   irq = [ "NET_RX", "TASKLET" ]


# # Read metrics from the bare metal servers via IPMI
# [[inputs.ipmi_sensor]]
#   ## optionally specify the path to the ipmitool executable
#   # path = "/usr/bin/ipmitool"
#   ##
#   ## Setting 'use_sudo' to true will make use of sudo to run ipmitool.
#   ## Sudo must be configured to allow the telegraf user to run ipmitool
#   ## without a password.
#   # use_sudo = false
#   ##
#   ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR
#   # privilege = "ADMINISTRATOR"
#   ##
#   ## optionally specify one or more servers via a url matching
#   ##  [username[:password]@][protocol[(address)]]
#   ##  e.g.
#   ##    root:passwd@lan(127.0.0.1)
#   ##
#   ## if no servers are specified, local machine sensor stats will be queried
#   ##
#   # servers = ["USERID:PASSW0RD@lan(192.168.1.1)"]
#
#   ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid
#   ## gaps or overlap in pulled data
#   interval = "30s"
#
#   ## Timeout for the ipmitool command to complete
#   timeout = "20s"
#
#   ## Schema Version: (Optional, defaults to version 1)
#   metric_version = 2
#
#   ## Optionally provide the hex key for the IMPI connection.
#   # hex_key = ""
#
#   ## If ipmitool should use a cache
#   ## for me ipmitool runs about 2 to 10 times faster with cache enabled on HP G10 servers (when using ubuntu20.04)
#   ## the cache file may not work well for you if some sensors come up late
#   # use_cache = false
#
#   ## Path to the ipmitools cache file (defaults to OS temp dir)
#   ## The provided path must exist and must be writable
#   # cache_path = ""


# # Gather packets and bytes counters from Linux ipsets
# [[inputs.ipset]]
#   ## By default, we only show sets which have already matched at least 1 packet.
#   ## set include_unmatched_sets = true to gather them all.
#   include_unmatched_sets = false
#   ## Adjust your sudo settings appropriately if using this option ("sudo ipset save")
#   use_sudo = false
#   ## The default timeout of 1s for ipset execution can be overridden here:
#   # timeout = "1s"


# # Read jobs and cluster metrics from Jenkins instances
# [[inputs.jenkins]]
#   ## The Jenkins URL in the format "schema://host:port"
#   url = "http://my-jenkins-instance:8080"
#   # username = "admin"
#   # password = "admin"
#
#   ## Set response_timeout
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use SSL but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional Max Job Build Age filter
#   ## Default 1 hour, ignore builds older than max_build_age
#   # max_build_age = "1h"
#
#   ## Optional Sub Job Depth filter
#   ## Jenkins can have unlimited layer of sub jobs
#   ## This config will limit the layers of pulling, default value 0 means
#   ## unlimited pulling until no more sub jobs
#   # max_subjob_depth = 0
#
#   ## Optional Sub Job Per Layer
#   ## In workflow-multibranch-plugin, each branch will be created as a sub job.
#   ## This config will limit to call only the lasted branches in each layer,
#   ## empty will use default value 10
#   # max_subjob_per_layer = 10
#
#   ## Jobs to include or exclude from gathering
#   ## When using both lists, job_exclude has priority.
#   ## Wildcards are supported: [ "jobA/*", "jobB/subjob1/*"]
#   # job_include = [ "*" ]
#   # job_exclude = [ ]
#
#   ## Nodes to include or exclude from gathering
#   ## When using both lists, node_exclude has priority.
#   # node_include = [ "*" ]
#   # node_exclude = [ ]
#
#   ## Worker pool for jenkins plugin only
#   ## Empty this field will use default value 5
#   # max_connections = 5


# # Read JMX metrics through Jolokia
# [[inputs.jolokia]]
#   # DEPRECATED: the jolokia plugin has been deprecated in favor of the
#   # jolokia2 plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2
#
#   ## This is the context root used to compose the jolokia url
#   ## NOTE that Jolokia requires a trailing slash at the end of the context root
#   ## NOTE that your jolokia security policy must allow for POST requests.
#   context = "/jolokia/"
#
#   ## This specifies the mode used
#   # mode = "proxy"
#   #
#   ## When in proxy mode this section is used to specify further
#   ## proxy address configurations.
#   ## Remember to change host address to fit your environment.
#   # [inputs.jolokia.proxy]
#   #   host = "127.0.0.1"
#   #   port = "8080"
#
#   ## Optional http timeouts
#   ##
#   ## response_header_timeout, if non-zero, specifies the amount of time to wait
#   ## for a server's response headers after fully writing the request.
#   # response_header_timeout = "3s"
#   ##
#   ## client_timeout specifies a time limit for requests made by this client.
#   ## Includes connection time, any redirects, and reading the response body.
#   # client_timeout = "4s"
#
#   ## Attribute delimiter
#   ##
#   ## When multiple attributes are returned for a single
#   ## [inputs.jolokia.metrics], the field name is a concatenation of the metric
#   ## name, and the attribute name, separated by the given delimiter.
#   # delimiter = "_"
#
#   ## List of servers exposing jolokia read service
#   [[inputs.jolokia.servers]]
#     name = "as-server-01"
#     host = "127.0.0.1"
#     port = "8080"
#     # username = "myuser"
#     # password = "mypassword"
#
#   ## List of metrics collected on above servers
#   ## Each metric consists in a name, a jmx path and either
#   ## a pass or drop slice attribute.
#   ##?This collect all heap memory usage metrics.
#   [[inputs.jolokia.metrics]]
#     name = "heap_memory_usage"
#     mbean  = "java.lang:type=Memory"
#     attribute = "HeapMemoryUsage"
#
#   ##?This collect thread counts metrics.
#   [[inputs.jolokia.metrics]]
#     name = "thread_count"
#     mbean  = "java.lang:type=Threading"
#     attribute = "TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount"
#
#   ##?This collect number of class loaded/unloaded counts metrics.
#   [[inputs.jolokia.metrics]]
#     name = "class_count"
#     mbean  = "java.lang:type=ClassLoading"
#     attribute = "LoadedClassCount,UnloadedClassCount,TotalLoadedClassCount"


# # Read JMX metrics from a Jolokia REST agent endpoint
# [[inputs.jolokia2_agent]]
#   # default_tag_prefix      = ""
#   # default_field_prefix    = ""
#   # default_field_separator = "."
#
#   # Add agents URLs to query
#   urls = ["http://localhost:8080/jolokia"]
#   # username = ""
#   # password = ""
#   # response_timeout = "5s"
#
#   ## Optional TLS config
#   # tls_ca   = "/var/private/ca.pem"
#   # tls_cert = "/var/private/client.pem"
#   # tls_key  = "/var/private/client-key.pem"
#   # insecure_skip_verify = false
#
#   ## Add metrics to read
#   [[inputs.jolokia2_agent.metric]]
#     name  = "java_runtime"
#     mbean = "java.lang:type=Runtime"
#     paths = ["Uptime"]


# # Read JMX metrics from a Jolokia REST proxy endpoint
# [[inputs.jolokia2_proxy]]
#   # default_tag_prefix      = ""
#   # default_field_prefix    = ""
#   # default_field_separator = "."
#
#   ## Proxy agent
#   url = "http://localhost:8080/jolokia"
#   # username = ""
#   # password = ""
#   # response_timeout = "5s"
#
#   ## Optional TLS config
#   # tls_ca   = "/var/private/ca.pem"
#   # tls_cert = "/var/private/client.pem"
#   # tls_key  = "/var/private/client-key.pem"
#   # insecure_skip_verify = false
#
#   ## Add proxy targets to query
#   # default_target_username = ""
#   # default_target_password = ""
#   [[inputs.jolokia2_proxy.target]]
#     url = "service:jmx:rmi:///jndi/rmi://targethost:9999/jmxrmi"
#     # username = ""
#     # password = ""
#
#   ## Add metrics to read
#   [[inputs.jolokia2_proxy.metric]]
#     name  = "java_runtime"
#     mbean = "java.lang:type=Runtime"
#     paths = ["Uptime"]


# # Read Kapacitor-formatted JSON metrics from one or more HTTP endpoints
# [[inputs.kapacitor]]
#   ## Multiple URLs from which to read Kapacitor-formatted JSON
#   ## Default is "http://localhost:9092/kapacitor/v1/debug/vars".
#   urls = [
#     "http://localhost:9092/kapacitor/v1/debug/vars"
#   ]
#
#   ## Time limit for http requests
#   timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read status information from one or more Kibana servers
# [[inputs.kibana]]
#   ## Specify a list of one or more Kibana servers
#   servers = ["http://localhost:5601"]
#
#   ## Timeout for HTTP requests
#   timeout = "5s"
#
#   ## HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from the Kubernetes api
# [[inputs.kube_inventory]]
#   ## URL for the Kubernetes API
#   url = "https://127.0.0.1"
#
#   ## Namespace to use. Set to "" to use all namespaces.
#   # namespace = "default"
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   ## If both of these are empty, we'll use the default serviceaccount:
#   ## at: /run/secrets/kubernetes.io/serviceaccount/token
#   # bearer_token = "/path/to/bearer/token"
#   ## OR
#   # bearer_token_string = "abc_123"
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## Optional Resources to exclude from gathering
#   ## Leave them with blank with try to gather everything available.
#   ## Values can be - "daemonsets", deployments", "endpoints", "ingress", "nodes",
#   ## "persistentvolumes", "persistentvolumeclaims", "pods", "services", "statefulsets"
#   # resource_exclude = [ "deployments", "nodes", "statefulsets" ]
#
#   ## Optional Resources to include when gathering
#   ## Overrides resource_exclude if both set.
#   # resource_include = [ "deployments", "nodes", "statefulsets" ]
#
#   ## selectors to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all selectors as tags
#   ## selector_exclude overrides selector_include if both set.
#   # selector_include = []
#   # selector_exclude = ["*"]
#
#   ## Optional TLS Config
#   # tls_ca = "/path/to/cafile"
#   # tls_cert = "/path/to/certfile"
#   # tls_key = "/path/to/keyfile"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from the kubernetes kubelet api
# [[inputs.kubernetes]]
#   ## URL for the kubelet
#   url = "http://127.0.0.1:10255"
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   ## If both of these are empty, we'll use the default serviceaccount:
#   ## at: /run/secrets/kubernetes.io/serviceaccount/token
#   # bearer_token = "/path/to/bearer/token"
#   ## OR
#   # bearer_token_string = "abc_123"
#
#   ## Pod labels to be added as tags.  An empty array for both include and
#   ## exclude will include all labels.
#   # label_include = []
#   # label_exclude = ["*"]
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from a LeoFS Server via SNMP
# [[inputs.leofs]]
#   ## An array of URLs of the form:
#   ##   host [ ":" port]
#   servers = ["127.0.0.1:4020"]


# # Provides Linux sysctl fs metrics
# [[inputs.linux_sysctl_fs]]
#   # no configuration


# # Read metrics exposed by Logstash
# [[inputs.logstash]]
#   ## The URL of the exposed Logstash API endpoint.
#   url = "http://127.0.0.1:9600"
#
#   ## Use Logstash 5 single pipeline API, set to true when monitoring
#   ## Logstash 5.
#   # single_pipeline = false
#
#   ## Enable optional collection components.  Can contain
#   ## "pipelines", "process", and "jvm".
#   # collect = ["pipelines", "process", "jvm"]
#
#   ## Timeout for HTTP requests.
#   # timeout = "5s"
#
#   ## Optional HTTP Basic Auth credentials.
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config.
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Use TLS but skip chain & host verification.
#   # insecure_skip_verify = false
#
#   ## Optional HTTP headers.
#   # [inputs.logstash.headers]
#   #   "X-Special-Header" = "Special-Value"


# # Read metrics about LVM physical volumes, volume groups, logical volumes.
# [[inputs.lvm]]
# ## Use sudo to run LVM commands
# use_sudo = false


# # Gathers metrics from the /3.0/reports MailChimp API
# [[inputs.mailchimp]]
#   ## MailChimp API key
#   ## get from https://admin.mailchimp.com/account/api/
#   api_key = "" # required
#   ## Reports for campaigns sent more than days_old ago will not be collected.
#   ## 0 means collect all.
#   days_old = 0
#   ## Campaign ID to get, if empty gets all campaigns, this option overrides days_old
#   # campaign_id = ""


# # Retrieves information on a specific host in a MarkLogic Cluster
# [[inputs.marklogic]]
#   ## Base URL of the MarkLogic HTTP Server.
#   url = "http://localhost:8002"
#
#   ## List of specific hostnames to retrieve information. At least (1) required.
#   # hosts = ["hostname1", "hostname2"]
#
#   ## Using HTTP Basic Authentication. Management API requires 'manage-user' role privileges
#   # username = "myuser"
#   # password = "mypassword"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from one or many mcrouter servers
# [[inputs.mcrouter]]
#   ## An array of address to gather stats about. Specify an ip or hostname
#   ## with port. ie tcp://localhost:11211, tcp://10.0.0.1:11211, etc.
#   servers = ["tcp://localhost:11211", "unix:///var/run/mcrouter.sock"]
#
#   ## Timeout for metric collections from all servers.  Minimum timeout is "1s".
#   # timeout = "5s"


# # Read metrics from one or many memcached servers
# [[inputs.memcached]]
#   ## An array of address to gather stats about. Specify an ip on hostname
#   ## with optional port. ie localhost, 10.0.0.1:11211, etc.
#   servers = ["localhost:11211"]
#   # unix_sockets = ["/var/run/memcached.sock"]


# # Telegraf plugin for gathering metrics from N Mesos masters
# [[inputs.mesos]]
#   ## Timeout, in ms.
#   timeout = 100
#
#   ## A list of Mesos masters.
#   masters = ["http://localhost:5050"]
#
#   ## Master metrics groups to be collected, by default, all enabled.
#   master_collections = [
#     "resources",
#     "master",
#     "system",
#     "agents",
#     "frameworks",
#     "framework_offers",
#     "tasks",
#     "messages",
#     "evqueue",
#     "registrar",
#     "allocator",
#   ]
#
#   ## A list of Mesos slaves, default is []
#   # slaves = []
#
#   ## Slave metrics groups to be collected, by default, all enabled.
#   # slave_collections = [
#   #   "resources",
#   #   "agent",
#   #   "system",
#   #   "executors",
#   #   "tasks",
#   #   "messages",
#   # ]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Collects scores from a Minecraft server's scoreboard using the RCON protocol
# [[inputs.minecraft]]
#   ## Address of the Minecraft server.
#   # server = "localhost"
#
#   ## Server RCON Port.
#   # port = "25575"
#
#   ## Server RCON Password.
#   password = ""
#
#   ## Uncomment to remove deprecated metric components.
#   # tagdrop = ["server"]


# # Retrieve data from MODBUS slave devices
# [[inputs.modbus]]
#   ## Connection Configuration
#   ##
#   ## The plugin supports connections to PLCs via MODBUS/TCP, RTU over TCP, ASCII over TCP or
#   ## via serial line communication in binary (RTU) or readable (ASCII) encoding
#   ##
#   ## Device name
#   name = "Device"
#
#   ## Slave ID - addresses a MODBUS device on the bus
#   ## Range: 0 - 255 [0 = broadcast; 248 - 255 = reserved]
#   slave_id = 1
#
#   ## Timeout for each request
#   timeout = "1s"
#
#   ## Maximum number of retries and the time to wait between retries
#   ## when a slave-device is busy.
#   # busy_retries = 0
#   # busy_retries_wait = "100ms"
#
#   # TCP - connect via Modbus/TCP
#   controller = "tcp://localhost:502"
#
#   ## Serial (RS485; RS232)
#   # controller = "file:///dev/ttyUSB0"
#   # baud_rate = 9600
#   # data_bits = 8
#   # parity = "N"
#   # stop_bits = 1
#
#   ## For Modbus over TCP you can choose between "TCP", "RTUoverTCP" and "ASCIIoverTCP"
#   ## default behaviour is "TCP" if the controller is TCP
#   ## For Serial you can choose between "RTU" and "ASCII"
#   # transmission_mode = "RTU"
#
#   ## Measurements
#   ##
#
#   ## Digital Variables, Discrete Inputs and Coils
#   ## measurement - the (optional) measurement name, defaults to "modbus"
#   ## name        - the variable name
#   ## address     - variable address
#
#   discrete_inputs = [
#     { name = "start",          address = [0]},
#     { name = "stop",           address = [1]},
#     { name = "reset",          address = [2]},
#     { name = "emergency_stop", address = [3]},
#   ]
#   coils = [
#     { name = "motor1_run",     address = [0]},
#     { name = "motor1_jog",     address = [1]},
#     { name = "motor1_stop",    address = [2]},
#   ]
#
#   ## Analog Variables, Input Registers and Holding Registers
#   ## measurement - the (optional) measurement name, defaults to "modbus"
#   ## name        - the variable name
#   ## byte_order  - the ordering of bytes
#   ##  |---AB, ABCD   - Big Endian
#   ##  |---BA, DCBA   - Little Endian
#   ##  |---BADC       - Mid-Big Endian
#   ##  |---CDAB       - Mid-Little Endian
#   ## data_type  - INT16, UINT16, INT32, UINT32, INT64, UINT64,
#   ##              FLOAT32-IEEE, FLOAT64-IEEE (the IEEE 754 binary representation)
#   ##              FLOAT32, FIXED, UFIXED (fixed-point representation on input)
#   ## scale      - the final numeric variable representation
#   ## address    - variable address
#
#   holding_registers = [
#     { name = "power_factor", byte_order = "AB",   data_type = "FIXED", scale=0.01,  address = [8]},
#     { name = "voltage",      byte_order = "AB",   data_type = "FIXED", scale=0.1,   address = [0]},
#     { name = "energy",       byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [5,6]},
#     { name = "current",      byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [1,2]},
#     { name = "frequency",    byte_order = "AB",   data_type = "UFIXED", scale=0.1,  address = [7]},
#     { name = "power",        byte_order = "ABCD", data_type = "UFIXED", scale=0.1,  address = [3,4]},
#   ]
#   input_registers = [
#     { name = "tank_level",   byte_order = "AB",   data_type = "INT16",   scale=1.0,     address = [0]},
#     { name = "tank_ph",      byte_order = "AB",   data_type = "INT16",   scale=1.0,     address = [1]},
#     { name = "pump1_speed",  byte_order = "ABCD", data_type = "INT32",   scale=1.0,     address = [3,4]},
#   ]


# # Read metrics from one or many MongoDB servers
# [[inputs.mongodb]]
#   ## An array of URLs of the form:
#   ##   "mongodb://" [user ":" pass "@"] host [ ":" port]
#   ## For example:
#   ##   mongodb://user:auth_key@10.10.3.30:27017,
#   ##   mongodb://10.10.3.33:18832,
#   servers = ["mongodb://127.0.0.1:27017"]
#
#   ## When true, collect cluster status
#   ## Note that the query that counts jumbo chunks triggers a COLLSCAN, which
#   ## may have an impact on performance.
#   # gather_cluster_status = true
#
#   ## When true, collect per database stats
#   # gather_perdb_stats = false
#
#   ## When true, collect per collection stats
#   # gather_col_stats = false
#
#   ## When true, collect usage statistics for each collection
#   ## (insert, update, queries, remove, getmore, commands etc...).
#   # gather_top_stat = false
#
#   ## List of db where collections stats are collected
#   ## If empty, all db are concerned
#   # col_stats_dbs = ["local"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics and status information about processes managed by Monit
# [[inputs.monit]]
#   ## Monit HTTPD address
#   address = "http://127.0.0.1:2812"
#
#   ## Username and Password for Monit
#   # username = ""
#   # password = ""
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Aggregates the contents of multiple files into a single point
# [[inputs.multifile]]
#   ## Base directory where telegraf will look for files.
#   ## Omit this option to use absolute paths.
#   base_dir = "/sys/bus/i2c/devices/1-0076/iio:device0"
#
#   ## If true, Telegraf discard all data when a single file can't be read.
#   ## Else, Telegraf omits the field generated from this file.
#   # fail_early = true
#
#   ## Files to parse each interval.
#   [[inputs.multifile.file]]
#     file = "in_pressure_input"
#     dest = "pressure"
#     conversion = "float"
#   [[inputs.multifile.file]]
#     file = "in_temp_input"
#     dest = "temperature"
#     conversion = "float(3)"
#   [[inputs.multifile.file]]
#     file = "in_humidityrelative_input"
#     dest = "humidityrelative"
#     conversion = "float(3)"


# # Read metrics from one or many mysql servers
# [[inputs.mysql]]
#   ## specify servers via a url matching:
#   ##  [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify|custom]]
#   ##  see https://github.com/go-sql-driver/mysql#dsn-data-source-name
#   ##  e.g.
#   ##    servers = ["user:passwd@tcp(127.0.0.1:3306)/?tls=false"]
#   ##    servers = ["user@tcp(127.0.0.1:3306)/?tls=false"]
#   #
#   ## If no servers are specified, then localhost is used as the host.
#   servers = ["tcp(127.0.0.1:3306)/"]
#
#   ## Selects the metric output format.
#   ##
#   ## This option exists to maintain backwards compatibility, if you have
#   ## existing metrics do not set or change this value until you are ready to
#   ## migrate to the new format.
#   ##
#   ## If you do not have existing metrics from this plugin set to the latest
#   ## version.
#   ##
#   ## Telegraf >=1.6: metric_version = 2
#   ##           <1.6: metric_version = 1 (or unset)
#   metric_version = 2
#
#   ## if the list is empty, then metrics are gathered from all database tables
#   # table_schema_databases = []
#
#   ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list
#   # gather_table_schema = false
#
#   ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST
#   # gather_process_list = false
#
#   ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS
#   # gather_user_statistics = false
#
#   ## gather auto_increment columns and max values from information schema
#   # gather_info_schema_auto_inc = false
#
#   ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS
#   # gather_innodb_metrics = false
#
#   ## gather metrics from SHOW SLAVE STATUS command output
#   # gather_slave_status = false
#
#   ## gather metrics from all channels from SHOW SLAVE STATUS command output
#   # gather_all_slave_channels = false
#
#   ## use MariaDB dialect for all channels SHOW SLAVE STATUS
#   # mariadb_dialect = false
#
#   ## gather metrics from SHOW BINARY LOGS command output
#   # gather_binary_logs = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.GLOBAL_VARIABLES
#   # gather_global_variables = true
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_TABLE
#   # gather_table_io_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS
#   # gather_table_lock_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_INDEX_USAGE
#   # gather_index_io_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS
#   # gather_event_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME
#   # gather_file_events_stats = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST
#   # gather_perf_events_statements = false
#
#   ## the limits for metrics form perf_events_statements
#   # perf_events_statements_digest_text_limit = 120
#   # perf_events_statements_limit = 250
#   # perf_events_statements_time_limit = 86400
#
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_ACCOUNT_BY_EVENT_NAME
#   # gather_perf_sum_per_acc_per_event         = false
#
#   ## list of events to be gathered for gather_perf_sum_per_acc_per_event
#   ## in case of empty list all events will be gathered
#   # perf_summary_events                       = []
#
#   ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)
#   ##   example: interval_slow = "30m"
#   # interval_slow = ""
#
#   ## Optional TLS Config (will be used if tls=custom parameter specified in server uri)
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Provides metrics about the state of a NATS server
# [[inputs.nats]]
#   ## The address of the monitoring endpoint of the NATS server
#   server = "http://localhost:8222"
#
#   ## Maximum time to receive response
#   # response_timeout = "5s"


# # Neptune Apex data collector
# [[inputs.neptune_apex]]
#   ## The Neptune Apex plugin reads the publicly available status.xml data from a local Apex.
#   ## Measurements will be logged under "apex".
#
#   ## The base URL of the local Apex(es). If you specify more than one server, they will
#   ## be differentiated by the "source" tag.
#   servers = [
#     "http://apex.local",
#   ]
#
#   ## The response_timeout specifies how long to wait for a reply from the Apex.
#   #response_timeout = "5s"


# # Read metrics about network interface usage
# [[inputs.net]]
#   ## By default, telegraf gathers stats from any up interface (excluding loopback)
#   ## Setting interfaces will tell it to gather these explicit interfaces,
#   ## regardless of status.
#   ##
#   # interfaces = ["eth0"]
#   ##
#   ## On linux systems telegraf also collects protocol stats.
#   ## Setting ignore_protocol_stats to true will skip reporting of protocol metrics.
#   ##
#   # ignore_protocol_stats = false
#   ##


# # Collect response time of a TCP or UDP connection
# [[inputs.net_response]]
#   ## Protocol, must be "tcp" or "udp"
#   ## NOTE: because the "udp" protocol does not respond to requests, it requires
#   ## a send/expect string pair (see below).
#   protocol = "tcp"
#   ## Server address (default localhost)
#   address = "localhost:80"
#
#   ## Set timeout
#   # timeout = "1s"
#
#   ## Set read timeout (only used if expecting a response)
#   # read_timeout = "1s"
#
#   ## The following options are required for UDP checks. For TCP, they are
#   ## optional. The plugin will send the given string to the server and then
#   ## expect to receive the given 'expect' string back.
#   ## string sent to the server
#   # send = "ssh"
#   ## expected string in answer
#   # expect = "ssh"
#
#   ## Uncomment to remove deprecated fields
#   # fielddrop = ["result_type", "string_found"]


# # Read TCP metrics such as established, time wait and sockets counts.
# [[inputs.netstat]]
#   # no configuration


# # Read per-mount NFS client metrics from /proc/self/mountstats
# [[inputs.nfsclient]]
#   ## Read more low-level metrics (optional, defaults to false)
#   # fullstat = false
#
#   ## List of mounts to explictly include or exclude (optional)
#   ## The pattern (Go regexp) is matched against the mount point (not the
#   ## device being mounted).  If include_mounts is set, all mounts are ignored
#   ## unless present in the list. If a mount is listed in both include_mounts
#   ## and exclude_mounts, it is excluded.  Go regexp patterns can be used.
#   # include_mounts = []
#   # exclude_mounts = []
#
#   ## List of operations to include or exclude from collecting.  This applies
#   ## only when fullstat=true.  Symantics are similar to {include,exclude}_mounts:
#   ## the default is to collect everything; when include_operations is set, only
#   ## those OPs are collected; when exclude_operations is set, all are collected
#   ## except those listed.  If include and exclude are set, the OP is excluded.
#   ## See /proc/self/mountstats for a list of valid operations; note that
#   ## NFSv3 and NFSv4 have different lists.  While it is not possible to
#   ## have different include/exclude lists for NFSv3/4, unused elements
#   ## in the list should be okay.  It is possible to have different lists
#   ## for different mountpoints:  use mulitple [[input.nfsclient]] stanzas,
#   ## with their own lists.  See "include_mounts" above, and be careful of
#   ## duplicate metrics.
#   # include_operations = []
#   # exclude_operations = []


# # Read Nginx's basic status information (ngx_http_stub_status_module)
# [[inputs.nginx]]
#   # An array of Nginx stub_status URI to gather stats.
#   urls = ["http://localhost/server_status"]
#
#   ## Optional TLS Config
#   tls_ca = "/etc/telegraf/ca.pem"
#   tls_cert = "/etc/telegraf/cert.cer"
#   tls_key = "/etc/telegraf/key.key"
#   ## Use TLS but skip chain & host verification
#   insecure_skip_verify = false
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = "5s"


# # Read Nginx Plus' full status information (ngx_http_status_module)
# [[inputs.nginx_plus]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = ["http://localhost/status"]
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read Nginx Plus Api documentation
# [[inputs.nginx_plus_api]]
#   ## An array of API URI to gather stats.
#   urls = ["http://localhost/api"]
#
#   # Nginx API version, default: 3
#   # api_version = 3
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read Nginx virtual host traffic status module information (nginx-module-sts)
# [[inputs.nginx_sts]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = ["http://localhost/status"]
#
#   ## HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read nginx_upstream_check module status information (https://github.com/yaoweibin/nginx_upstream_check_module)
# [[inputs.nginx_upstream_check]]
#   ## An URL where Nginx Upstream check module is enabled
#   ## It should be set to return a JSON formatted response
#   url = "http://127.0.0.1/status?format=json"
#
#   ## HTTP method
#   # method = "GET"
#
#   ## Optional HTTP headers
#   # headers = {"X-Special-Header" = "Special-Value"}
#
#   ## Override HTTP "Host" header
#   # host_header = "check.example.com"
#
#   ## Timeout for HTTP requests
#   timeout = "5s"
#
#   ## Optional HTTP Basic Auth credentials
#   # username = "username"
#   # password = "pa$$word"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read Nginx virtual host traffic status module information (nginx-module-vts)
# [[inputs.nginx_vts]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = ["http://localhost/status"]
#
#   ## HTTP response timeout (default: 5s)
#   response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # A plugin to collect stats from the NSD authoritative DNS name server
# [[inputs.nsd]]
#   ## Address of server to connect to, optionally ':port'. Defaults to the
#   ## address in the nsd config file.
#   server = "127.0.0.1:8953"
#
#   ## If running as a restricted user you can prepend sudo for additional access:
#   # use_sudo = false
#
#   ## The default location of the nsd-control binary can be overridden with:
#   # binary = "/usr/sbin/nsd-control"
#
#   ## The default location of the nsd config file can be overridden with:
#   # config_file = "/etc/nsd/nsd.conf"
#
#   ## The default timeout of 1s can be overridden with:
#   # timeout = "1s"


# # Read NSQ topic and channel statistics.
# [[inputs.nsq]]
#   ## An array of NSQD HTTP API endpoints
#   endpoints  = ["http://localhost:4151"]
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Collect kernel snmp counters and network interface statistics
# [[inputs.nstat]]
#   ## file paths for proc files. If empty default paths will be used:
#   ##    /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6
#   ## These can also be overridden with env variables, see README.
#   proc_net_netstat = "/proc/net/netstat"
#   proc_net_snmp = "/proc/net/snmp"
#   proc_net_snmp6 = "/proc/net/snmp6"
#   ## dump metrics with 0 values too
#   dump_zeros       = true


# # Get standard NTP query metrics, requires ntpq executable.
# [[inputs.ntpq]]
#   ## If false, set the -n ntpq flag. Can reduce metric gather time.
#   dns_lookup = true


# # Pulls statistics from nvidia GPUs attached to the host
# [[inputs.nvidia_smi]]
#   ## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath
#   # bin_path = "/usr/bin/nvidia-smi"
#
#   ## Optional: timeout for GPU polling
#   # timeout = "5s"


# # Retrieve data from OPCUA devices
# [[inputs.opcua]]
#   ## Metric name
#   # name = "opcua"
#   #
#   ## OPC UA Endpoint URL
#   # endpoint = "opc.tcp://localhost:4840"
#   #
#   ## Maximum time allowed to establish a connect to the endpoint.
#   # connect_timeout = "10s"
#   #
#   ## Maximum time allowed for a request over the estabilished connection.
#   # request_timeout = "5s"
#   #
#   ## Security policy, one of "None", "Basic128Rsa15", "Basic256",
#   ## "Basic256Sha256", or "auto"
#   # security_policy = "auto"
#   #
#   ## Security mode, one of "None", "Sign", "SignAndEncrypt", or "auto"
#   # security_mode = "auto"
#   #
#   ## Path to cert.pem. Required when security mode or policy isn't "None".
#   ## If cert path is not supplied, self-signed cert and key will be generated.
#   # certificate = "/etc/telegraf/cert.pem"
#   #
#   ## Path to private key.pem. Required when security mode or policy isn't "None".
#   ## If key path is not supplied, self-signed cert and key will be generated.
#   # private_key = "/etc/telegraf/key.pem"
#   #
#   ## Authentication Method, one of "Certificate", "UserName", or "Anonymous".  To
#   ## authenticate using a specific ID, select 'Certificate' or 'UserName'
#   # auth_method = "Anonymous"
#   #
#   ## Username. Required for auth_method = "UserName"
#   # username = ""
#   #
#   ## Password. Required for auth_method = "UserName"
#   # password = ""
#   #
#   ## Option to select the metric timestamp to use. Valid options are:
#   ##     "gather" -- uses the time of receiving the data in telegraf
#   ##     "server" -- uses the timestamp provided by the server
#   ##     "source" -- uses the timestamp provided by the source
#   # timestamp = "gather"
#   #
#   ## Node ID configuration
#   ## name              - field name to use in the output
#   ## namespace         - OPC UA namespace of the node (integer value 0 thru 3)
#   ## identifier_type   - OPC UA ID type (s=string, i=numeric, g=guid, b=opaque)
#   ## identifier        - OPC UA ID (tag as shown in opcua browser)
#   ## Example:
#   ## {name="ProductUri", namespace="0", identifier_type="i", identifier="2262"}
#   # nodes = [
#   #  {name="", namespace="", identifier_type="", identifier=""},
#   #  {name="", namespace="", identifier_type="", identifier=""},
#   #]
#   #
#   ## Node Group
#   ## Sets defaults for OPC UA namespace and ID type so they aren't required in
#   ## every node.  A group can also have a metric name that overrides the main
#   ## plugin metric name.
#   ##
#   ## Multiple node groups are allowed
#   #[[inputs.opcua.group]]
#   ## Group Metric name. Overrides the top level name.  If unset, the
#   ## top level name is used.
#   # name =
#   #
#   ## Group default namespace. If a node in the group doesn't set its
#   ## namespace, this is used.
#   # namespace =
#   #
#   ## Group default identifier type. If a node in the group doesn't set its
#   ## namespace, this is used.
#   # identifier_type =
#   #
#   ## Node ID Configuration.  Array of nodes with the same settings as above.
#   # nodes = [
#   #  {name="", namespace="", identifier_type="", identifier=""},
#   #  {name="", namespace="", identifier_type="", identifier=""},
#   #]


# # OpenLDAP cn=Monitor plugin
# [[inputs.openldap]]
#   host = "localhost"
#   port = 389
#
#   # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption.
#   # note that port will likely need to be changed to 636 for ldaps
#   # valid options: "" | "starttls" | "ldaps"
#   tls = ""
#
#   # skip peer certificate verification. Default is false.
#   insecure_skip_verify = false
#
#   # Path to PEM-encoded Root certificate to use to verify server certificate
#   tls_ca = "/etc/ssl/certs.pem"
#
#   # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed.
#   bind_dn = ""
#   bind_password = ""
#
#   # Reverse metric names so they sort more naturally. Recommended.
#   # This defaults to false if unset, but is set to true when generating a new config
#   reverse_metric_names = true


# # Get standard NTP query metrics from OpenNTPD.
# [[inputs.openntpd]]
#   ## Run ntpctl binary with sudo.
#   # use_sudo = false
#
#   ## Location of the ntpctl binary.
#   # binary = "/usr/sbin/ntpctl"
#
#   ## Maximum time the ntpctl binary is allowed to run.
#   # timeout = "5ms"


# # A plugin to collect stats from Opensmtpd - a validating, recursive, and caching DNS resolver 
# [[inputs.opensmtpd]]
#   ## If running as a restricted user you can prepend sudo for additional access:
#   #use_sudo = false
#
#   ## The default location of the smtpctl binary can be overridden with:
#   binary = "/usr/sbin/smtpctl"
#
#   ## The default timeout of 1000ms can be overridden with (in milliseconds):
#   timeout = 1000


# # Read current weather and forecasts data from openweathermap.org
# [[inputs.openweathermap]]
#   ## OpenWeatherMap API key.
#   app_id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
#
#   ## City ID's to collect weather data from.
#   city_id = ["5391959"]
#
#   ## Language of the description field. Can be one of "ar", "bg",
#   ## "ca", "cz", "de", "el", "en", "fa", "fi", "fr", "gl", "hr", "hu",
#   ## "it", "ja", "kr", "la", "lt", "mk", "nl", "pl", "pt", "ro", "ru",
#   ## "se", "sk", "sl", "es", "tr", "ua", "vi", "zh_cn", "zh_tw"
#   # lang = "en"
#
#   ## APIs to fetch; can contain "weather" or "forecast".
#   fetch = ["weather", "forecast"]
#
#   ## OpenWeatherMap base URL
#   # base_url = "https://api.openweathermap.org/"
#
#   ## Timeout for HTTP response.
#   # response_timeout = "5s"
#
#   ## Preferred unit system for temperature and wind speed. Can be one of
#   ## "metric", "imperial", or "standard".
#   # units = "metric"
#
#   ## Query interval; OpenWeatherMap updates their weather data every 10
#   ## minutes.
#   interval = "10m"


# # Read metrics of passenger using passenger-status
# [[inputs.passenger]]
#   ## Path of passenger-status.
#   ##
#   ## Plugin gather metric via parsing XML output of passenger-status
#   ## More information about the tool:
#   ##   https://www.phusionpassenger.com/library/admin/apache/overall_status_report.html
#   ##
#   ## If no path is specified, then the plugin simply execute passenger-status
#   ## hopefully it can be found in your PATH
#   command = "passenger-status -v --show=xml"


# # Gather counters from PF
# [[inputs.pf]]
#   ## PF require root access on most systems.
#   ## Setting 'use_sudo' to true will make use of sudo to run pfctl.
#   ## Users must configure sudo to allow telegraf user to run pfctl with no password.
#   ## pfctl can be restricted to only list command "pfctl -s info".
#   use_sudo = false


# # Read metrics of phpfpm, via HTTP status page or socket
# [[inputs.phpfpm]]
#   ## An array of addresses to gather stats about. Specify an ip or hostname
#   ## with optional port and path
#   ##
#   ## Plugin can be configured in three modes (either can be used):
#   ##   - http: the URL must start with http:// or https://, ie:
#   ##       "http://localhost/status"
#   ##       "http://192.168.130.1/status?full"
#   ##
#   ##   - unixsocket: path to fpm socket, ie:
#   ##       "/var/run/php5-fpm.sock"
#   ##      or using a custom fpm status path:
#   ##       "/var/run/php5-fpm.sock:fpm-custom-status-path"
#   ##
#   ##   - fcgi: the URL must start with fcgi:// or cgi://, and port must be present, ie:
#   ##       "fcgi://10.0.0.12:9000/status"
#   ##       "cgi://10.0.10.12:9001/status"
#   ##
#   ## Example of multiple gathering from local socket and remote host
#   ## urls = ["http://192.168.1.20/status", "/tmp/fpm.sock"]
#   urls = ["http://localhost/status"]
#
#   ## Duration allowed to complete HTTP requests.
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Ping given url(s) and return statistics
# [[inputs.ping]]
#   ## Hosts to send ping packets to.
#   urls = ["example.org"]
#
#   ## Method used for sending pings, can be either "exec" or "native".  When set
#   ## to "exec" the systems ping command will be executed.  When set to "native"
#   ## the plugin will send pings directly.
#   ##
#   ## While the default is "exec" for backwards compatibility, new deployments
#   ## are encouraged to use the "native" method for improved compatibility and
#   ## performance.
#   # method = "exec"
#
#   ## Number of ping packets to send per interval.  Corresponds to the "-c"
#   ## option of the ping command.
#   # count = 1
#
#   ## Time to wait between sending ping packets in seconds.  Operates like the
#   ## "-i" option of the ping command.
#   # ping_interval = 1.0
#
#   ## If set, the time to wait for a ping response in seconds.  Operates like
#   ## the "-W" option of the ping command.
#   # timeout = 1.0
#
#   ## If set, the total ping deadline, in seconds.  Operates like the -w option
#   ## of the ping command.
#   # deadline = 10
#
#   ## Interface or source address to send ping from.  Operates like the -I or -S
#   ## option of the ping command.
#   # interface = ""
#
#   ## Percentiles to calculate. This only works with the native method.
#   # percentiles = [50, 95, 99]
#
#   ## Specify the ping executable binary.
#   # binary = "ping"
#
#   ## Arguments for ping command. When arguments is not empty, the command from
#   ## the binary option will be used and other options (ping_interval, timeout,
#   ## etc) will be ignored.
#   # arguments = ["-c", "3"]
#
#   ## Use only IPv6 addresses when resolving a hostname.
#   # ipv6 = false
#
#   ## Number of data bytes to be sent. Corresponds to the "-s"
#   ## option of the ping command. This only works with the native method.
#   # size = 56


# # Read metrics from one or many PowerDNS servers
# [[inputs.powerdns]]
#   ## An array of sockets to gather stats about.
#   ## Specify a path to unix socket.
#   unix_sockets = ["/var/run/pdns.controlsocket"]


# # Read metrics from one or many PowerDNS Recursor servers
# [[inputs.powerdns_recursor]]
#   ## Path to the Recursor control socket.
#   unix_sockets = ["/var/run/pdns_recursor.controlsocket"]
#
#   ## Directory to create receive socket.  This default is likely not writable,
#   ## please reference the full plugin documentation for a recommended setup.
#   # socket_dir = "/var/run/"
#   ## Socket permissions for the receive socket.
#   # socket_mode = "0666"


# # Monitor process cpu and memory usage
# [[inputs.procstat]]
#   ## PID file to monitor process
#   pid_file = "/var/run/nginx.pid"
#   ## executable name (ie, pgrep <exe>)
#   # exe = "nginx"
#   ## pattern as argument for pgrep (ie, pgrep -f <pattern>)
#   # pattern = "nginx"
#   ## user as argument for pgrep (ie, pgrep -u <user>)
#   # user = "nginx"
#   ## Systemd unit name, supports globs when include_systemd_children is set to true
#   # systemd_unit = "nginx.service"
#   # include_systemd_children = false
#   ## CGroup name or path, supports globs
#   # cgroup = "systemd/system.slice/nginx.service"
#
#   ## Windows service name
#   # win_service = ""
#
#   ## override for process_name
#   ## This is optional; default is sourced from /proc/<pid>/status
#   # process_name = "bar"
#
#   ## Field name prefix
#   # prefix = ""
#
#   ## When true add the full cmdline as a tag.
#   # cmdline_tag = false
#
#   ## Mode to use when calculating CPU usage. Can be one of 'solaris' or 'irix'.
#   # mode = "irix"
#
#   ## Add the PID as a tag instead of as a field.  When collecting multiple
#   ## processes with otherwise matching tags this setting should be enabled to
#   ## ensure each process has a unique identity.
#   ##
#   ## Enabling this option may result in a large number of series, especially
#   ## when processes have a short lifetime.
#   # pid_tag = false
#
#   ## Method to use when finding process IDs.  Can be one of 'pgrep', or
#   ## 'native'.  The pgrep finder calls the pgrep executable in the PATH while
#   ## the native finder performs the search directly in a manor dependent on the
#   ## platform.  Default is 'pgrep'
#   # pid_finder = "pgrep"


# # Provides metrics from Proxmox nodes (Proxmox Virtual Environment > 6.2).
# [[inputs.proxmox]]
#   ## API connection configuration. The API token was introduced in Proxmox v6.2. Required permissions for user and token: PVEAuditor role on /.
#   base_url = "https://localhost:8006/api2/json"
#   api_token = "USER@REALM!TOKENID=UUID"
#   ## Node name, defaults to OS hostname
#   # node_name = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   insecure_skip_verify = false
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = "5s"


# # Reads last_run_summary.yaml file and converts to measurements
# [[inputs.puppetagent]]
#   ## Location of puppet last run summary file
#   location = "/var/lib/puppet/state/last_run_summary.yaml"


# # Reads metrics from RabbitMQ servers via the Management Plugin
# [[inputs.rabbitmq]]
#   ## Management Plugin url. (default: http://localhost:15672)
#   # url = "http://localhost:15672"
#   ## Tag added to rabbitmq_overview series; deprecated: use tags
#   # name = "rmq-server-1"
#   ## Credentials
#   # username = "guest"
#   # password = "guest"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Optional request timeouts
#   ##
#   ## ResponseHeaderTimeout, if non-zero, specifies the amount of time to wait
#   ## for a server's response headers after fully writing the request.
#   # header_timeout = "3s"
#   ##
#   ## client_timeout specifies a time limit for requests made by this client.
#   ## Includes connection time, any redirects, and reading the response body.
#   # client_timeout = "4s"
#
#   ## A list of nodes to gather as the rabbitmq_node measurement. If not
#   ## specified, metrics for all nodes are gathered.
#   # nodes = ["rabbit@node1", "rabbit@node2"]
#
#   ## A list of queues to gather as the rabbitmq_queue measurement. If not
#   ## specified, metrics for all queues are gathered.
#   # queues = ["telegraf"]
#
#   ## A list of exchanges to gather as the rabbitmq_exchange measurement. If not
#   ## specified, metrics for all exchanges are gathered.
#   # exchanges = ["telegraf"]
#
#   ## Metrics to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all metrics
#   ## Currently the following metrics are supported: "exchange", "federation", "node", "overview", "queue"
#   # metric_include = []
#   # metric_exclude = []
#
#   ## Queues to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all queues
#   queue_name_include = []
#   queue_name_exclude = []
#
#   ## Federation upstreams include and exclude when gathering the rabbitmq_federation measurement.
#   ## If neither are specified, metrics for all federation upstreams are gathered.
#   ## Federation link metrics will only be gathered for queues and exchanges
#   ## whose non-federation metrics will be collected (e.g a queue excluded
#   ## by the 'queue_name_exclude' option will also be excluded from federation).
#   ## Globs accepted.
#   # federation_upstream_include = ["dataCentre-*"]
#   # federation_upstream_exclude = []


# # Read raindrops stats (raindrops - real-time stats for preforking Rack servers)
# [[inputs.raindrops]]
#   ## An array of raindrops middleware URI to gather stats.
#   urls = ["http://localhost:8080/_raindrops"]


# # Reads metrics from RavenDB servers via the Monitoring Endpoints
# [[inputs.ravendb]]
#   ## Node URL and port that RavenDB is listening on
#   url = "https://localhost:8080"
#
#   ## RavenDB X509 client certificate setup
#   # tls_cert = "/etc/telegraf/raven.crt"
#   # tls_key = "/etc/telegraf/raven.key"
#
#   ## Optional request timeout
#   ##
#   ## Timeout, specifies the amount of time to wait
#   ## for a server's response headers after fully writing the request and
#   ## time limit for requests made by this client
#   # timeout = "5s"
#
#   ## List of statistics which are collected
#   # At least one is required
#   # Allowed values: server, databases, indexes, collections
#   #
#   # stats_include = ["server", "databases", "indexes", "collections"]
#
#   ## List of db where database stats are collected
#   ## If empty, all db are concerned
#   # db_stats_dbs = []
#
#   ## List of db where index status are collected
#   ## If empty, all indexes from all db are concerned
#   # index_stats_dbs = []
#
#   ## List of db where collection status are collected
#   ## If empty, all collections from all db are concerned
#   # collection_stats_dbs = []


# # Read CPU, Fans, Powersupply and Voltage metrics of hardware server through redfish APIs
# [[inputs.redfish]]
#   ## Server url
#   address = "https://127.0.0.1:5000"
#
#   ## Username, Password for hardware server
#   username = "root"
#   password = "password123456"
#
#   ## ComputerSystemId
#   computer_system_id="2M220100SL"
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from one or many redis servers
# [[inputs.redis]]
#   ## specify servers via a url matching:
#   ##  [protocol://][:password]@address[:port]
#   ##  e.g.
#   ##    tcp://localhost:6379
#   ##    tcp://:password@192.168.99.100
#   ##    unix:///var/run/redis.sock
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no port is specified, 6379 is used
#   servers = ["tcp://localhost:6379"]
#
#   ## Optional. Specify redis commands to retrieve values
#   # [[inputs.redis.commands]]
#   #   # The command to run where each argument is a separate element
#   #   command = ["get", "sample-key"]
#   #   # The field to store the result in
#   #   field = "sample-key-value"
#   #   # The type of the result
#   #   # Can be "string", "integer", or "float"
#   #   type = "string"
#
#   ## specify server password
#   # password = "s#cr@t%"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = true


# # Read metrics from one or many RethinkDB servers
# [[inputs.rethinkdb]]
#   ## An array of URI to gather stats about. Specify an ip or hostname
#   ## with optional port add password. ie,
#   ##   rethinkdb://user:auth_key@10.10.3.30:28105,
#   ##   rethinkdb://10.10.3.33:18832,
#   ##   10.0.0.1:10000, etc.
#   servers = ["127.0.0.1:28015"]
#   ##
#   ## If you use actual rethinkdb of > 2.3.0 with username/password authorization,
#   ## protocol have to be named "rethinkdb2" - it will use 1_0 H.
#   # servers = ["rethinkdb2://username:password@127.0.0.1:28015"]
#   ##
#   ## If you use older versions of rethinkdb (<2.2) with auth_key, protocol
#   ## have to be named "rethinkdb".
#   # servers = ["rethinkdb://username:auth_key@127.0.0.1:28015"]


# # Read metrics one or many Riak servers
# [[inputs.riak]]
#   # Specify a list of one or more riak http servers
#   servers = ["http://localhost:8098"]


# # Read API usage and limits for a Salesforce organisation
# [[inputs.salesforce]]
#   ## specify your credentials
#   ##
#   username = "your_username"
#   password = "your_password"
#   ##
#   ## (optional) security token
#   # security_token = "your_security_token"
#   ##
#   ## (optional) environment type (sandbox or production)
#   ## default is: production
#   ##
#   # environment = "production"
#   ##
#   ## (optional) API version (default: "39.0")
#   ##
#   # version = "39.0"


# # Read metrics from storage devices supporting S.M.A.R.T.
# [[inputs.smart]]
#   ## Optionally specify the path to the smartctl executable
#   # path_smartctl = "/usr/bin/smartctl"
#
#   ## Optionally specify the path to the nvme-cli executable
#   # path_nvme = "/usr/bin/nvme"
#
#   ## Optionally specify if vendor specific attributes should be propagated for NVMe disk case
#   ## ["auto-on"] - automatically find and enable additional vendor specific disk info
#   ## ["vendor1", "vendor2", ...] - e.g. "Intel" enable additional Intel specific disk info
#   # enable_extensions = ["auto-on"]
#
#   ## On most platforms used cli utilities requires root access.
#   ## Setting 'use_sudo' to true will make use of sudo to run smartctl or nvme-cli.
#   ## Sudo must be configured to allow the telegraf user to run smartctl or nvme-cli
#   ## without a password.
#   # use_sudo = false
#
#   ## Skip checking disks in this power mode. Defaults to
#   ## "standby" to not wake up disks that have stopped rotating.
#   ## See --nocheck in the man pages for smartctl.
#   ## smartctl version 5.41 and 5.42 have faulty detection of
#   ## power mode and might require changing this value to
#   ## "never" depending on your disks.
#   # nocheck = "standby"
#
#   ## Gather all returned S.M.A.R.T. attribute metrics and the detailed
#   ## information from each drive into the 'smart_attribute' measurement.
#   # attributes = false
#
#   ## Optionally specify devices to exclude from reporting if disks auto-discovery is performed.
#   # excludes = [ "/dev/pass6" ]
#
#   ## Optionally specify devices and device type, if unset
#   ## a scan (smartctl --scan and smartctl --scan -d nvme) for S.M.A.R.T. devices will be done
#   ## and all found will be included except for the excluded in excludes.
#   # devices = [ "/dev/ada0 -d atacam", "/dev/nvme0"]
#
#   ## Timeout for the cli command to complete.
#   # timeout = "30s"


# # Retrieves SNMP values from remote agents
# [[inputs.snmp]]
#   ## Agent addresses to retrieve values from.
#   ##   format:  agents = ["<scheme://><hostname>:<port>"]
#   ##   scheme:  optional, either udp, udp4, udp6, tcp, tcp4, tcp6.
#   ##            default is udp
#   ##   port:    optional
#   ##   example: agents = ["udp://127.0.0.1:161"]
#   ##            agents = ["tcp://127.0.0.1:161"]
#   ##            agents = ["udp4://v4only-snmp-agent"]
#   agents = ["udp://127.0.0.1:161"]
#
#   ## Timeout for each request.
#   # timeout = "5s"
#
#   ## SNMP version; can be 1, 2, or 3.
#   # version = 2
#
#   ## Agent host tag; the tag used to reference the source host
#   # agent_host_tag = "agent_host"
#
#   ## SNMP community string.
#   # community = "public"
#
#   ## Number of retries to attempt.
#   # retries = 3
#
#   ## The GETBULK max-repetitions parameter.
#   # max_repetitions = 10
#
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = "myuser"
#   ## Authentication protocol; one of "MD5", "SHA", "SHA224", "SHA256", "SHA384", "SHA512" or "".
#   # auth_protocol = "MD5"
#   ## Authentication password.
#   # auth_password = "pass"
#   ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
#   # sec_level = "authNoPriv"
#   ## Context Name.
#   # context_name = ""
#   ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "".
#   # priv_protocol = ""
#   ## Privacy password used for encrypted messages.
#   # priv_password = ""
#
#   ## Add fields and tables defining the variables you wish to collect.  This
#   ## example collects the system uptime and interface variables.  Reference the
#   ## full plugin documentation for configuration details.


# # DEPRECATED! PLEASE USE inputs.snmp INSTEAD.
# [[inputs.snmp_legacy]]
#   ## Use 'oids.txt' file to translate oids to names
#   ## To generate 'oids.txt' you need to run:
#   ##   snmptranslate -m all -Tz -On | sed -e 's/"//g' > /tmp/oids.txt
#   ## Or if you have an other MIB folder with custom MIBs
#   ##   snmptranslate -M /mycustommibfolder -Tz -On -m all | sed -e 's/"//g' > oids.txt
#   snmptranslate_file = "/tmp/oids.txt"
#   [[inputs.snmp.host]]
#     address = "192.168.2.2:161"
#     # SNMP community
#     community = "public" # default public
#     # SNMP version (1, 2 or 3)
#     # Version 3 not supported yet
#     version = 2 # default 2
#     # SNMP response timeout
#     timeout = 2.0 # default 2.0
#     # SNMP request retries
#     retries = 2 # default 2
#     # Which get/bulk do you want to collect for this host
#     collect = ["mybulk", "sysservices", "sysdescr"]
#     # Simple list of OIDs to get, in addition to "collect"
#     get_oids = []
#
#   [[inputs.snmp.host]]
#     address = "192.168.2.3:161"
#     community = "public"
#     version = 2
#     timeout = 2.0
#     retries = 2
#     collect = ["mybulk"]
#     get_oids = [
#         "ifNumber",
#         ".1.3.6.1.2.1.1.3.0",
#     ]
#
#   [[inputs.snmp.get]]
#     name = "ifnumber"
#     oid = "ifNumber"
#
#   [[inputs.snmp.get]]
#     name = "interface_speed"
#     oid = "ifSpeed"
#     instance = "0"
#
#   [[inputs.snmp.get]]
#     name = "sysuptime"
#     oid = ".1.3.6.1.2.1.1.3.0"
#     unit = "second"
#
#   [[inputs.snmp.bulk]]
#     name = "mybulk"
#     max_repetition = 127
#     oid = ".1.3.6.1.2.1.1"
#
#   [[inputs.snmp.bulk]]
#     name = "ifoutoctets"
#     max_repetition = 127
#     oid = "ifOutOctets"
#
#   [[inputs.snmp.host]]
#     address = "192.168.2.13:161"
#     #address = "127.0.0.1:161"
#     community = "public"
#     version = 2
#     timeout = 2.0
#     retries = 2
#     #collect = ["mybulk", "sysservices", "sysdescr", "systype"]
#     collect = ["sysuptime" ]
#     [[inputs.snmp.host.table]]
#       name = "iftable3"
#       include_instances = ["enp5s0", "eth1"]
#
#   # SNMP TABLEs
#   # table without mapping neither subtables
#   [[inputs.snmp.table]]
#     name = "iftable1"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#
#   # table without mapping but with subtables
#   [[inputs.snmp.table]]
#     name = "iftable2"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#     sub_tables = [".1.3.6.1.2.1.2.2.1.13"]
#
#   # table with mapping but without subtables
#   [[inputs.snmp.table]]
#     name = "iftable3"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#     # if empty. get all instances
#     mapping_table = ".1.3.6.1.2.1.31.1.1.1.1"
#     # if empty, get all subtables
#
#   # table with both mapping and subtables
#   [[inputs.snmp.table]]
#     name = "iftable4"
#     oid = ".1.3.6.1.2.1.31.1.1.1"
#     # if empty get all instances
#     mapping_table = ".1.3.6.1.2.1.31.1.1.1.1"
#     # if empty get all subtables
#     # sub_tables could be not "real subtables"
#     sub_tables=[".1.3.6.1.2.1.2.2.1.13", "bytes_recv", "bytes_send"]


# # Read stats from one or more Solr servers or cores
# [[inputs.solr]]
#   ## specify a list of one or more Solr servers
#   servers = ["http://localhost:8983"]
#
#   ## specify a list of one or more Solr cores (default - all)
#   # cores = ["main"]
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = "username"
#   # password = "pa$$word"


# # Gather timeseries from Google Cloud Platform v3 monitoring API
# [[inputs.stackdriver]]
#   ## GCP Project
#   project = "erudite-bloom-151019"
#
#   ## Include timeseries that start with the given metric type.
#   metric_type_prefix_include = [
#     "compute.googleapis.com/",
#   ]
#
#   ## Exclude timeseries that start with the given metric type.
#   # metric_type_prefix_exclude = []
#
#   ## Many metrics are updated once per minute; it is recommended to override
#   ## the agent level interval with a value of 1m or greater.
#   interval = "1m"
#
#   ## Maximum number of API calls to make per second.  The quota for accounts
#   ## varies, it can be viewed on the API dashboard:
#   ##   https://cloud.google.com/monitoring/quotas#quotas_and_limits
#   # rate_limit = 14
#
#   ## The delay and window options control the number of points selected on
#   ## each gather.  When set, metrics are gathered between:
#   ##   start: now() - delay - window
#   ##   end:   now() - delay
#   #
#   ## Collection delay; if set too low metrics may not yet be available.
#   # delay = "5m"
#   #
#   ## If unset, the window will start at 1m and be updated dynamically to span
#   ## the time between calls (approximately the length of the plugin interval).
#   # window = "1m"
#
#   ## TTL for cached list of metric types.  This is the maximum amount of time
#   ## it may take to discover new metrics.
#   # cache_ttl = "1h"
#
#   ## If true, raw bucket counts are collected for distribution value types.
#   ## For a more lightweight collection, you may wish to disable and use
#   ## distribution_aggregation_aligners instead.
#   # gather_raw_distribution_buckets = true
#
#   ## Aggregate functions to be used for metrics whose value type is
#   ## distribution.  These aggregate values are recorded in in addition to raw
#   ## bucket counts; if they are enabled.
#   ##
#   ## For a list of aligner strings see:
#   ##   https://cloud.google.com/monitoring/api/ref_v3/rpc/google.monitoring.v3#aligner
#   # distribution_aggregation_aligners = [
#   #   "ALIGN_PERCENTILE_99",
#   #   "ALIGN_PERCENTILE_95",
#   #   "ALIGN_PERCENTILE_50",
#   # ]
#
#   ## Filters can be added to reduce the number of time series matched.  All
#   ## functions are supported: starts_with, ends_with, has_substring, and
#   ## one_of.  Only the '=' operator is supported.
#   ##
#   ## The logical operators when combining filters are defined statically using
#   ## the following values:
#   ##   filter ::= <resource_labels> {AND <metric_labels>}
#   ##   resource_labels ::= <resource_labels> {OR <resource_label>}
#   ##   metric_labels ::= <metric_labels> {OR <metric_label>}
#   ##
#   ## For more details, see https://cloud.google.com/monitoring/api/v3/filters
#   #
#   ## Resource labels refine the time series selection with the following expression:
#   ##   resource.labels.<key> = <value>
#   # [[inputs.stackdriver.filter.resource_labels]]
#   #   key = "instance_name"
#   #   value = 'starts_with("localhost")'
#   #
#   ## Metric labels refine the time series selection with the following expression:
#   ##   metric.labels.<key> = <value>
#   #  [[inputs.stackdriver.filter.metric_labels]]
#   #    key = "device_name"
#   #    value = 'one_of("sda", "sdb")'


# # Get synproxy counter statistics from procfs
# [[inputs.synproxy]]
#   # no configuration


# # Reads metrics from a Teamspeak 3 Server via ServerQuery
# [[inputs.teamspeak]]
#   ## Server address for Teamspeak 3 ServerQuery
#   # server = "127.0.0.1:10011"
#   ## Username for ServerQuery
#   username = "serverqueryuser"
#   ## Password for ServerQuery
#   password = "secret"
#   ## Array of virtual servers
#   # virtual_servers = [1]


# # Read metrics about temperature
# [[inputs.temp]]
#   # no configuration


# # Read Tengine's basic status information (ngx_http_reqstat_module)
# [[inputs.tengine]]
#   # An array of Tengine reqstat module URI to gather stats.
#   urls = ["http://127.0.0.1/us"]
#
#   # HTTP response timeout (default: 5s)
#   # response_timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.cer"
#   # tls_key = "/etc/telegraf/key.key"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Gather metrics from the Tomcat server status page.
# [[inputs.tomcat]]
#   ## URL of the Tomcat server status
#   # url = "http://127.0.0.1:8080/manager/status/all?XML=true"
#
#   ## HTTP Basic Auth Credentials
#   # username = "tomcat"
#   # password = "s3cret"
#
#   ## Request timeout
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Inserts sine and cosine waves for demonstration purposes
# [[inputs.trig]]
#   ## Set the amplitude
#   amplitude = 10.0


# # Read Twemproxy stats data
# [[inputs.twemproxy]]
#   ## Twemproxy stats address and port (no scheme)
#   addr = "localhost:22222"
#   ## Monitor pool name
#   pools = ["redis_pool", "mc_pool"]


# # A plugin to collect stats from the Unbound DNS resolver
# [[inputs.unbound]]
#   ## Address of server to connect to, read from unbound conf default, optionally ':port'
#   ## Will lookup IP if given a hostname
#   server = "127.0.0.1:8953"
#
#   ## If running as a restricted user you can prepend sudo for additional access:
#   # use_sudo = false
#
#   ## The default location of the unbound-control binary can be overridden with:
#   # binary = "/usr/sbin/unbound-control"
#
#   ## The default location of the unbound config file can be overridden with:
#   # config_file = "/etc/unbound/unbound.conf"
#
#   ## The default timeout of 1s can be overridden with:
#   # timeout = "1s"
#
#   ## When set to true, thread metrics are tagged with the thread id.
#   ##
#   ## The default is false for backwards compatibility, and will be changed to
#   ## true in a future version.  It is recommended to set to true on new
#   ## deployments.
#   thread_as_tag = false


# # Read uWSGI metrics.
# [[inputs.uwsgi]]
#   ## List with urls of uWSGI Stats servers. URL must match pattern:
#   ## scheme://address[:port]
#   ##
#   ## For example:
#   ## servers = ["tcp://localhost:5050", "http://localhost:1717", "unix:///tmp/statsock"]
#   servers = ["tcp://127.0.0.1:1717"]
#
#   ## General connection timeout
#   # timeout = "5s"


# # Input plugin to collect Windows Event Log messages
# [[inputs.win_eventlog]]
#   ## Telegraf should have Administrator permissions to subscribe for some Windows Events channels
#   ## (System log, for example)
#
#   ## LCID (Locale ID) for event rendering
#   ## 1033 to force English language
#   ## 0 to use default Windows locale
#   # locale = 0
#
#   ## Name of eventlog, used only if xpath_query is empty
#   ## Example: "Application"
#   # eventlog_name = ""
#
#   ## xpath_query can be in defined short form like "Event/System[EventID=999]"
#   ## or you can form a XML Query. Refer to the Consuming Events article:
#   ## https://docs.microsoft.com/en-us/windows/win32/wes/consuming-events
#   ## XML query is the recommended form, because it is most flexible
#   ## You can create or debug XML Query by creating Custom View in Windows Event Viewer
#   ## and then copying resulting XML here
#   xpath_query = '''
#   <QueryList>
#     <Query Id="0" Path="Security">
#       <Select Path="Security">*</Select>
#       <Suppress Path="Security">*[System[( (EventID &gt;= 5152 and EventID &lt;= 5158) or EventID=5379 or EventID=4672)]]</Suppress>
#     </Query>
#     <Query Id="1" Path="Application">
#       <Select Path="Application">*[System[(Level &lt; 4)]]</Select>
#     </Query>
#     <Query Id="2" Path="Windows PowerShell">
#       <Select Path="Windows PowerShell">*[System[(Level &lt; 4)]]</Select>
#     </Query>
#     <Query Id="3" Path="System">
#       <Select Path="System">*</Select>
#     </Query>
#     <Query Id="4" Path="Setup">
#       <Select Path="Setup">*</Select>
#     </Query>
#   </QueryList>
#   '''
#
#   ## System field names:
#   ##   "Source", "EventID", "Version", "Level", "Task", "Opcode", "Keywords", "TimeCreated",
#   ##   "EventRecordID", "ActivityID", "RelatedActivityID", "ProcessID", "ThreadID", "ProcessName",
#   ##   "Channel", "Computer", "UserID", "UserName", "Message", "LevelText", "TaskText", "OpcodeText"
#
#   ## In addition to System, Data fields can be unrolled from additional XML nodes in event.
#   ## Human-readable representation of those nodes is formatted into event Message field,
#   ## but XML is more machine-parsable
#
#   # Process UserData XML to fields, if this node exists in Event XML
#   process_userdata = true
#
#   # Process EventData XML to fields, if this node exists in Event XML
#   process_eventdata = true
#
#   ## Separator character to use for unrolled XML Data field names
#   separator = "_"
#
#   ## Get only first line of Message field. For most events first line is usually more than enough
#   only_first_line_of_message = true
#
#   ## Parse timestamp from TimeCreated.SystemTime event field.
#   ## Will default to current time of telegraf processing on parsing error or if set to false
#   timestamp_from_event = true
#
#   ## Fields to include as tags. Globbing supported ("Level*" for both "Level" and "LevelText")
#   event_tags = ["Source", "EventID", "Level", "LevelText", "Task", "TaskText", "Opcode", "OpcodeText", "Keywords", "Channel", "Computer"]
#
#   ## Default list of fields to send. All fields are sent by default. Globbing supported
#   event_fields = ["*"]
#
#   ## Fields to exclude. Also applied to data fields. Globbing supported
#   exclude_fields = ["TimeCreated", "Binary", "Data_Address*"]
#
#   ## Skip those tags or fields if their value is empty or equals to zero. Globbing supported
#   exclude_empty = ["*ActivityID", "UserID"]


# # Input plugin to counterPath Performance Counters on Windows operating systems
# [[inputs.win_perf_counters]]
#   ## By default this plugin returns basic CPU and Disk statistics.
#   ## See the README file for more examples.
#   ## Uncomment examples below or write your own as you see fit. If the system
#   ## being polled for data does not have the Object at startup of the Telegraf
#   ## agent, it will not be gathered.
#   ## Settings:
#   # PrintValid = false # Print All matching performance counters
#   # Whether request a timestamp along with the PerfCounter data or just use current time
#   # UsePerfCounterTime=true
#   # If UseWildcardsExpansion params is set to true, wildcards (partial wildcards in instance names and wildcards in counters names) in configured counter paths will be expanded
#   # and in case of localized Windows, counter paths will be also localized. It also returns instance indexes in instance names.
#   # If false, wildcards (not partial) in instance names will still be expanded, but instance indexes will not be returned in instance names.
#   #UseWildcardsExpansion = false
#   # Period after which counters will be reread from configuration and wildcards in counter paths expanded
#   CountersRefreshInterval="1m"
#
#   [[inputs.win_perf_counters.object]]
#     # Processor usage, alternative to native, reports on a per core.
#     ObjectName = "Processor"
#     Instances = ["*"]
#     Counters = [
#       "% Idle Time",
#       "% Interrupt Time",
#       "% Privileged Time",
#       "% User Time",
#       "% Processor Time",
#       "% DPC Time",
#     ]
#     Measurement = "win_cpu"
#     # Set to true to include _Total instance when querying for all (*).
#     # IncludeTotal=false
#     # Print out when the performance counter is missing from object, counter or instance.
#     # WarnOnMissing = false
#
#   [[inputs.win_perf_counters.object]]
#     # Disk times and queues
#     ObjectName = "LogicalDisk"
#     Instances = ["*"]
#     Counters = [
#       "% Idle Time",
#       "% Disk Time",
#       "% Disk Read Time",
#       "% Disk Write Time",
#       "% User Time",
#       "% Free Space",
#       "Current Disk Queue Length",
#       "Free Megabytes",
#     ]
#     Measurement = "win_disk"
#
#   [[inputs.win_perf_counters.object]]
#     ObjectName = "PhysicalDisk"
#     Instances = ["*"]
#     Counters = [
#       "Disk Read Bytes/sec",
#       "Disk Write Bytes/sec",
#       "Current Disk Queue Length",
#       "Disk Reads/sec",
#       "Disk Writes/sec",
#       "% Disk Time",
#       "% Disk Read Time",
#       "% Disk Write Time",
#     ]
#     Measurement = "win_diskio"
#
#   [[inputs.win_perf_counters.object]]
#     ObjectName = "Network Interface"
#     Instances = ["*"]
#     Counters = [
#       "Bytes Received/sec",
#       "Bytes Sent/sec",
#       "Packets Received/sec",
#       "Packets Sent/sec",
#       "Packets Received Discarded",
#       "Packets Outbound Discarded",
#       "Packets Received Errors",
#       "Packets Outbound Errors",
#     ]
#     Measurement = "win_net"
#
#
#   [[inputs.win_perf_counters.object]]
#     ObjectName = "System"
#     Counters = [
#       "Context Switches/sec",
#       "System Calls/sec",
#       "Processor Queue Length",
#       "System Up Time",
#     ]
#     Instances = ["------"]
#     Measurement = "win_system"
#
#   [[inputs.win_perf_counters.object]]
#     # Example counterPath where the Instance portion must be removed to get data back,
#     # such as from the Memory object.
#     ObjectName = "Memory"
#     Counters = [
#       "Available Bytes",
#       "Cache Faults/sec",
#       "Demand Zero Faults/sec",
#       "Page Faults/sec",
#       "Pages/sec",
#       "Transition Faults/sec",
#       "Pool Nonpaged Bytes",
#       "Pool Paged Bytes",
#       "Standby Cache Reserve Bytes",
#       "Standby Cache Normal Priority Bytes",
#       "Standby Cache Core Bytes",
#     ]
#     Instances = ["------"] # Use 6 x - to remove the Instance bit from the counterPath.
#     Measurement = "win_mem"
#
#   [[inputs.win_perf_counters.object]]
#     # Example query where the Instance portion must be removed to get data back,
#     # such as from the Paging File object.
#     ObjectName = "Paging File"
#     Counters = [
#       "% Usage",
#     ]
#     Instances = ["_Total"]
#     Measurement = "win_swap"


# # Input plugin to report Windows services info.
# [[inputs.win_services]]
#   ## Names of the services to monitor. Leave empty to monitor all the available services on the host. Globs accepted.
#   service_names = [
#     "LanmanServer",
#   "TermService",
#   "Win*",
#   ]


# # Collect Wireguard server interface and peer statistics
# [[inputs.wireguard]]
#   ## Optional list of Wireguard device/interface names to query.
#   ## If omitted, all Wireguard interfaces are queried.
#   # devices = ["wg0"]


# # Monitor wifi signal strength and quality
# [[inputs.wireless]]
#   ## Sets 'proc' directory path
#   ## If not specified, then default is /proc
#   # host_proc = "/proc"


# # Reads metrics from a SSL certificate
# [[inputs.x509_cert]]
#   ## List certificate sources
#   ## Prefix your entry with 'file://' if you intend to use relative paths
#   sources = ["tcp://example.org:443", "https://influxdata.com:443",
#             "udp://127.0.0.1:4433", "/etc/ssl/certs/ssl-cert-snakeoil.pem",
#             "/etc/mycerts/*.mydomain.org.pem", "file:///path/to/*.pem"]
#
#   ## Timeout for SSL connection
#   # timeout = "5s"
#
#   ## Pass a different name into the TLS request (Server Name Indication)
#   ##   example: server_name = "myhost.example.org"
#   # server_name = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"


# # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, pools and datasets
# [[inputs.zfs]]
#   ## ZFS kstat path. Ignored on FreeBSD
#   ## If not specified, then default is:
#   # kstatPath = "/proc/spl/kstat/zfs"
#
#   ## By default, telegraf gather all zfs stats
#   ## If not specified, then default is:
#   # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"]
#   ## For Linux, the default is:
#   # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats",
#   #   "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"]
#   ## By default, don't gather zpool stats
#   # poolMetrics = false
#   ## By default, don't gather zdataset stats
#   # datasetMetrics = false


# # Reads 'mntr' stats from one or many zookeeper servers
# [[inputs.zookeeper]]
#   ## An array of address to gather stats about. Specify an ip or hostname
#   ## with port. ie localhost:2181, 10.0.0.1:2181, etc.
#
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no port is specified, 2181 is used
#   servers = [":2181"]
#
#   ## Timeout for metric collections from all servers.  Minimum timeout is "1s".
#   # timeout = "5s"
#
#   ## Optional TLS Config
#   # enable_tls = true
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## If false, skip chain & host verification
#   # insecure_skip_verify = true


###############################################################################
#                            SERVICE INPUT PLUGINS                            #
###############################################################################


# # Listener capable of handling KNX bus messages provided through a KNX-IP Interface.
# [[inputs.KNXListener]]
#   ## Type of KNX-IP interface.
#   ## Can be either "tunnel" or "router".
#   # service_type = "tunnel"
#
#   ## Address of the KNX-IP interface.
#   service_address = "localhost:3671"
#
#   ## Measurement definition(s)
#   # [[inputs.knx_listener.measurement]]
#   #   ## Name of the measurement
#   #   name = "temperature"
#   #   ## Datapoint-Type (DPT) of the KNX messages
#   #   dpt = "9.001"
#   #   ## List of Group-Addresses (GAs) assigned to the measurement
#   #   addresses = ["5/5/1"]
#
#   # [[inputs.knx_listener.measurement]]
#   #   name = "illumination"
#   #   dpt = "9.004"
#   #   addresses = ["5/5/3"]


# # Pull Metric Statistics from Aliyun CMS
# [[inputs.aliyuncms]]
#   ## Aliyun Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Ram RoleArn credential
#   ## 2) AccessKey STS token credential
#   ## 3) AccessKey credential
#   ## 4) Ecs Ram Role credential
#   ## 5) RSA keypair credential
#   ## 6) Environment variables credential
#   ## 7) Instance metadata credential
#
#   # access_key_id = ""
#   # access_key_secret = ""
#   # access_key_sts_token = ""
#   # role_arn = ""
#   # role_session_name = ""
#   # private_key = ""
#   # public_key_id = ""
#   # role_name = ""
#
#   ## Specify the ali cloud region list to be queried for metrics and objects discovery
#   ## If not set, all supported regions (see below) would be covered, it can provide a significant load on API, so the recommendation here
#   ## is to limit the list as much as possible. Allowed values: https://www.alibabacloud.com/help/zh/doc-detail/40654.htm
#   ## Default supported regions are:
#   ## 21 items: cn-qingdao,cn-beijing,cn-zhangjiakou,cn-huhehaote,cn-hangzhou,cn-shanghai,cn-shenzhen,
#   ##           cn-heyuan,cn-chengdu,cn-hongkong,ap-southeast-1,ap-southeast-2,ap-southeast-3,ap-southeast-5,
#   ##           ap-south-1,ap-northeast-1,us-west-1,us-east-1,eu-central-1,eu-west-1,me-east-1
#   ##
#   ## From discovery perspective it set the scope for object discovery, the discovered info can be used to enrich
#   ## the metrics with objects attributes/tags. Discovery is supported not for all projects (if not supported, then
#   ## it will be reported on the start - for example for 'acs_cdn' project:
#   ## 'E! [inputs.aliyuncms] Discovery tool is not activated: no discovery support for project "acs_cdn"' )
#   ## Currently, discovery supported for the following projects:
#   ## - acs_ecs_dashboard
#   ## - acs_rds_dashboard
#   ## - acs_slb_dashboard
#   ## - acs_vpc_eip
#   regions = ["cn-hongkong"]
#
#   # The minimum period for AliyunCMS metrics is 1 minute (60s). However not all
#   # metrics are made available to the 1 minute period. Some are collected at
#   # 3 minute, 5 minute, or larger intervals.
#   # See: https://help.aliyun.com/document_detail/51936.html?spm=a2c4g.11186623.2.18.2bc1750eeOw1Pv
#   # Note that if a period is configured that is smaller than the minimum for a
#   # particular metric, that metric will not be returned by the Aliyun OpenAPI
#   # and will not be collected by Telegraf.
#   #
#   ## Requested AliyunCMS aggregation Period (required - must be a multiple of 60s)
#   period = "5m"
#
#   ## Collection Delay (required - must account for metrics availability via AliyunCMS API)
#   delay = "1m"
#
#   ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
#   ## gaps or overlap in pulled data
#   interval = "5m"
#
#   ## Metric Statistic Project (required)
#   project = "acs_slb_dashboard"
#
#   ## Maximum requests per second, default value is 200
#   ratelimit = 200
#
#   ## How often the discovery API call executed (default 1m)
#   #discovery_interval = "1m"
#
#   ## Metrics to Pull (Required)
#   [[inputs.aliyuncms.metrics]]
#   ## Metrics names to be requested,
#   ## described here (per project): https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
#   names = ["InstanceActiveConnection", "InstanceNewConnection"]
#
#   ## Dimension filters for Metric (these are optional).
#   ## This allows to get additional metric dimension. If dimension is not specified it can be returned or
#   ## the data can be aggregated - it depends on particular metric, you can find details here: https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
#   ##
#   ## Note, that by default dimension filter includes the list of discovered objects in scope (if discovery is enabled)
#   ## Values specified here would be added into the list of discovered objects.
#   ## You can specify either single dimension:
#   #dimensions = '{"instanceId": "p-example"}'
#
#   ## Or you can specify several dimensions at once:
#   #dimensions = '[{"instanceId": "p-example"},{"instanceId": "q-example"}]'
#
#   ## Enrichment tags, can be added from discovery (if supported)
#   ## Notation is <measurement_tag_name>:<JMES query path (https://jmespath.org/tutorial.html)>
#   ## To figure out which fields are available, consult the Describe<ObjectType> API per project.
#   ## For example, for SLB: https://api.aliyun.com/#/?product=Slb&version=2014-05-15&api=DescribeLoadBalancers&params={}&tab=MOCK&lang=GO
#   #tag_query_path = [
#   #    "address:Address",
#   #    "name:LoadBalancerName",
#   #    "cluster_owner:Tags.Tag[?TagKey=='cs.cluster.name'].TagValue | [0]"
#   #    ]
#   ## The following tags added by default: regionId (if discovery enabled), userId, instanceId.
#
#   ## Allow metrics without discovery data, if discovery is enabled. If set to true, then metric without discovery
#   ## data would be emitted, otherwise dropped. This cane be of help, in case debugging dimension filters, or partial coverage
#   ## of discovery scope vs monitoring scope
#   #allow_dps_without_discovery = false


# # AMQP consumer plugin
# [[inputs.amqp_consumer]]
#   ## Broker to consume from.
#   ##   deprecated in 1.7; use the brokers option
#   # url = "amqp://localhost:5672/influxdb"
#
#   ## Brokers to consume from.  If multiple brokers are specified a random broker
#   ## will be selected anytime a connection is established.  This can be
#   ## helpful for load balancing when not using a dedicated load balancer.
#   brokers = ["amqp://localhost:5672/influxdb"]
#
#   ## Authentication credentials for the PLAIN auth_method.
#   # username = ""
#   # password = ""
#
#   ## Name of the exchange to declare.  If unset, no exchange will be declared.
#   exchange = "telegraf"
#
#   ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
#   # exchange_type = "topic"
#
#   ## If true, exchange will be passively declared.
#   # exchange_passive = false
#
#   ## Exchange durability can be either "transient" or "durable".
#   # exchange_durability = "durable"
#
#   ## Additional exchange arguments.
#   # exchange_arguments = { }
#   # exchange_arguments = {"hash_property" = "timestamp"}
#
#   ## AMQP queue name.
#   queue = "telegraf"
#
#   ## AMQP queue durability can be "transient" or "durable".
#   queue_durability = "durable"
#
#   ## If true, queue will be passively declared.
#   # queue_passive = false
#
#   ## A binding between the exchange and queue using this binding key is
#   ## created.  If unset, no binding is created.
#   binding_key = "#"
#
#   ## Maximum number of messages server should give to the worker.
#   # prefetch_count = 50
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Auth method. PLAIN and EXTERNAL are supported
#   ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
#   ## described here: https://www.rabbitmq.com/plugins.html
#   # auth_method = "PLAIN"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Content encoding for message payloads, can be set to "gzip" to or
#   ## "identity" to apply no encoding.
#   # content_encoding = "identity"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read Cassandra metrics through Jolokia
# [[inputs.cassandra]]
#   ## DEPRECATED: The cassandra plugin has been deprecated.  Please use the
#   ## jolokia2 plugin instead.
#   ##
#   ## see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2
#
#   context = "/jolokia/read"
#   ## List of cassandra servers exposing jolokia read service
#   servers = ["myuser:mypassword@10.10.10.1:8778","10.10.10.2:8778",":8778"]
#   ## List of metrics collected on above servers
#   ## Each metric consists of a jmx path.
#   ## This will collect all heap memory usage metrics from the jvm and
#   ## ReadLatency metrics for all keyspaces and tables.
#   ## "type=Table" in the query works with Cassandra3.0. Older versions might
#   ## need to use "type=ColumnFamily"
#   metrics  = [
#     "/java.lang:type=Memory/HeapMemoryUsage",
#     "/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency"
#   ]


# # Cisco model-driven telemetry (MDT) input plugin for IOS XR, IOS XE and NX-OS platforms
# [[inputs.cisco_telemetry_mdt]]
#  ## Telemetry transport can be "tcp" or "grpc".  TLS is only supported when
#  ## using the grpc transport.
#  transport = "grpc"
#
#  ## Address and port to host telemetry listener
#  service_address = ":57000"
#
#  ## Enable TLS; grpc transport only.
#  # tls_cert = "/etc/telegraf/cert.pem"
#  # tls_key = "/etc/telegraf/key.pem"
#
#  ## Enable TLS client authentication and define allowed CA certificates; grpc
#  ##  transport only.
#  # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#  ## Define (for certain nested telemetry measurements with embedded tags) which fields are tags
#  # embedded_tags = ["Cisco-IOS-XR-qos-ma-oper:qos/interface-table/interface/input/service-policy-names/service-policy-instance/statistics/class-stats/class-name"]
#
#  ## Define aliases to map telemetry encoding paths to simple measurement names
#  [inputs.cisco_telemetry_mdt.aliases]
#    ifstats = "ietf-interfaces:interfaces-state/interface/statistics"
#  ##Define Property Xformation, please refer README and https://pubhub.devnetcloud.com/media/dme-docs-9-3-3/docs/appendix/ for Model details.
#  [inputs.cisco_telemetry_mdt.dmes]
#    ModTs = "ignore"
#    CreateTs = "ignore"


# # Read metrics from one or many ClickHouse servers
# [[inputs.clickhouse]]
#   ## Username for authorization on ClickHouse server
#   ## example: username = "default"
#   username = "default"
#
#   ## Password for authorization on ClickHouse server
#   ## example: password = "super_secret"
#
#   ## HTTP(s) timeout while getting metrics values
#   ## The timeout includes connection time, any redirects, and reading the response body.
#   ##   example: timeout = 1s
#   # timeout = 5s
#
#   ## List of servers for metrics scraping
#   ## metrics scrape via HTTP(s) clickhouse interface
#   ## https://clickhouse.tech/docs/en/interfaces/http/
#   ##    example: servers = ["http://127.0.0.1:8123","https://custom-server.mdb.yandexcloud.net"]
#   servers         = ["http://127.0.0.1:8123"]
#
#   ## If "auto_discovery"" is "true" plugin tries to connect to all servers available in the cluster
#   ## with using same "user:password" described in "user" and "password" parameters
#   ## and get this server hostname list from "system.clusters" table
#   ## see
#   ## - https://clickhouse.tech/docs/en/operations/system_tables/#system-clusters
#   ## - https://clickhouse.tech/docs/en/operations/server_settings/settings/#server_settings_remote_servers
#   ## - https://clickhouse.tech/docs/en/operations/table_engines/distributed/
#   ## - https://clickhouse.tech/docs/en/operations/table_engines/replication/#creating-replicated-tables
#   ##    example: auto_discovery = false
#   # auto_discovery = true
#
#   ## Filter cluster names in "system.clusters" when "auto_discovery" is "true"
#   ## when this filter present then "WHERE cluster IN (...)" filter will apply
#   ## please use only full cluster names here, regexp and glob filters is not allowed
#   ## for "/etc/clickhouse-server/config.d/remote.xml"
#   ## <yandex>
#   ##  <remote_servers>
#   ##    <my-own-cluster>
#   ##        <shard>
#   ##          <replica><host>clickhouse-ru-1.local</host><port>9000</port></replica>
#   ##          <replica><host>clickhouse-ru-2.local</host><port>9000</port></replica>
#   ##        </shard>
#   ##        <shard>
#   ##          <replica><host>clickhouse-eu-1.local</host><port>9000</port></replica>
#   ##          <replica><host>clickhouse-eu-2.local</host><port>9000</port></replica>
#   ##        </shard>
#   ##    </my-onw-cluster>
#   ##  </remote_servers>
#   ##
#   ## </yandex>
#   ##
#   ## example: cluster_include = ["my-own-cluster"]
#   # cluster_include = []
#
#   ## Filter cluster names in "system.clusters" when "auto_discovery" is "true"
#   ## when this filter present then "WHERE cluster NOT IN (...)" filter will apply
#   ##    example: cluster_exclude = ["my-internal-not-discovered-cluster"]
#   # cluster_exclude = []
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Read metrics from Google PubSub
# [[inputs.cloud_pubsub]]
#   ## Required. Name of Google Cloud Platform (GCP) Project that owns
#   ## the given PubSub subscription.
#   project = "my-project"
#
#   ## Required. Name of PubSub subscription to ingest metrics from.
#   subscription = "my-subscription"
#
#   ## Required. Data format to consume.
#   ## Each data format has its own unique set of configuration options.
#   ## Read more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Optional. Filepath for GCP credentials JSON file to authorize calls to
#   ## PubSub APIs. If not set explicitly, Telegraf will attempt to use
#   ## Application Default Credentials, which is preferred.
#   # credentials_file = "path/to/my/creds.json"
#
#   ## Optional. Number of seconds to wait before attempting to restart the
#   ## PubSub subscription receiver after an unexpected error.
#   ## If the streaming pull for a PubSub Subscription fails (receiver),
#   ## the agent attempts to restart receiving messages after this many seconds.
#   # retry_delay_seconds = 5
#
#   ## Optional. Maximum byte length of a message to consume.
#   ## Larger messages are dropped with an error. If less than 0 or unspecified,
#   ## treated as no limit.
#   # max_message_len = 1000000
#
#   ## Optional. Maximum messages to read from PubSub that have not been written
#   ## to an output. Defaults to 1000.
#   ## For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message contains 10 metrics and the output
#   ## metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## The following are optional Subscription ReceiveSettings in PubSub.
#   ## Read more about these values:
#   ## https://godoc.org/cloud.google.com/go/pubsub#ReceiveSettings
#
#   ## Optional. Maximum number of seconds for which a PubSub subscription
#   ## should auto-extend the PubSub ACK deadline for each message. If less than
#   ## 0, auto-extension is disabled.
#   # max_extension = 0
#
#   ## Optional. Maximum number of unprocessed messages in PubSub
#   ## (unacknowledged but not yet expired in PubSub).
#   ## A value of 0 is treated as the default PubSub value.
#   ## Negative values will be treated as unlimited.
#   # max_outstanding_messages = 0
#
#   ## Optional. Maximum size in bytes of unprocessed messages in PubSub
#   ## (unacknowledged but not yet expired in PubSub).
#   ## A value of 0 is treated as the default PubSub value.
#   ## Negative values will be treated as unlimited.
#   # max_outstanding_bytes = 0
#
#   ## Optional. Max number of goroutines a PubSub Subscription receiver can spawn
#   ## to pull messages from PubSub concurrently. This limit applies to each
#   ## subscription separately and is treated as the PubSub default if less than
#   ## 1. Note this setting does not limit the number of messages that can be
#   ## processed concurrently (use "max_outstanding_messages" instead).
#   # max_receiver_go_routines = 0
#
#   ## Optional. If true, Telegraf will attempt to base64 decode the
#   ## PubSub message data before parsing
#   # base64_data = false


# # Google Cloud Pub/Sub Push HTTP listener
# [[inputs.cloud_pubsub_push]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8080"
#
#   ## Application secret to verify messages originate from Cloud Pub/Sub
#   # token = ""
#
#   ## Path to listen to.
#   # path = "/"
#
#   ## Maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## Maximum duration before timing out write of the response. This should be set to a value
#   ## large enough that you can send at least 'metric_batch_size' number of messages within the
#   ## duration.
#   # write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,00 bytes (500 mebibytes)
#   # max_body_size = "500MB"
#
#   ## Whether to add the pubsub metadata, such as message attributes and subscription as a tag.
#   # add_meta = false
#
#   ## Optional. Maximum messages to read from PubSub that have not been written
#   ## to an output. Defaults to 1000.
#   ## For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message contains 10 metrics and the output
#   ## metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Ingests files in a directory and then moves them to a target directory.
# [[inputs.directory_monitor]]
#   ## The directory to monitor and read files from.
#   directory = ""
#   #
#   ## The directory to move finished files to.
#   finished_directory = ""
#   #
#   ## The directory to move files to upon file error.
#   ## If not provided, erroring files will stay in the monitored directory.
#   # error_directory = ""
#   #
#   ## The amount of time a file is allowed to sit in the directory before it is picked up.
#   ## This time can generally be low but if you choose to have a very large file written to the directory and it's potentially slow,
#   ## set this higher so that the plugin will wait until the file is fully copied to the directory.
#   # directory_duration_threshold = "50ms"
#   #
#   ## A list of the only file names to monitor, if necessary. Supports regex. If left blank, all files are ingested.
#   # files_to_monitor = ["^.*\.csv"]
#   #
#   ## A list of files to ignore, if necessary. Supports regex.
#   # files_to_ignore = [".DS_Store"]
#   #
#   ## Maximum lines of the file to process that have not yet be written by the
#   ## output. For best throughput set to the size of the output's metric_buffer_limit.
#   ## Warning: setting this number higher than the output's metric_buffer_limit can cause dropped metrics.
#   # max_buffered_metrics = 10000
#   #
#   ## The maximum amount of file paths to queue up for processing at once, before waiting until files are processed to find more files.
#   ## Lowering this value will result in *slightly* less memory use, with a potential sacrifice in speed efficiency, if absolutely necessary.
#   #   file_queue_size = 100000
#   #
#   ## Name a tag containing the name of the file the data was parsed from.  Leave empty
#   ## to disable. Cautious when file name variation is high, this can increase the cardinality
#   ## significantly. Read more about cardinality here:
#   ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
#   # file_tag = ""
#   #
#   ## The dataformat to be read from the files.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   ## NOTE: We currently only support parsing newline-delimited JSON. See the format here: https://github.com/ndjson/ndjson-spec
#   data_format = "influx"


# # Read logging output from the Docker engine
# [[inputs.docker_log]]
#   ## Docker Endpoint
#   ##   To use TCP, set endpoint = "tcp://[ip]:[port]"
#   ##   To use environment variables (ie, docker-machine), set endpoint = "ENV"
#   # endpoint = "unix:///var/run/docker.sock"
#
#   ## When true, container logs are read from the beginning; otherwise
#   ## reading begins at the end of the log.
#   # from_beginning = false
#
#   ## Timeout for Docker API calls.
#   # timeout = "5s"
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   # container_name_include = []
#   # container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the "running" state will be captured.
#   # container_state_include = []
#   # container_state_exclude = []
#
#   ## docker labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   # docker_label_include = []
#   # docker_label_exclude = []
#
#   ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
#   source_tag = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Azure Event Hubs service input plugin
# [[inputs.eventhub_consumer]]
#   ## The default behavior is to create a new Event Hub client from environment variables.
#   ## This requires one of the following sets of environment variables to be set:
#   ##
#   ## 1) Expected Environment Variables:
#   ##    - "EVENTHUB_CONNECTION_STRING"
#   ##
#   ## 2) Expected Environment Variables:
#   ##    - "EVENTHUB_NAMESPACE"
#   ##    - "EVENTHUB_NAME"
#   ##    - "EVENTHUB_KEY_NAME"
#   ##    - "EVENTHUB_KEY_VALUE"
#
#   ## 3) Expected Environment Variables:
#   ##    - "EVENTHUB_NAMESPACE"
#   ##    - "EVENTHUB_NAME"
#   ##    - "AZURE_TENANT_ID"
#   ##    - "AZURE_CLIENT_ID"
#   ##    - "AZURE_CLIENT_SECRET"
#
#   ## Uncommenting the option below will create an Event Hub client based solely on the connection string.
#   ## This can either be the associated environment variable or hard coded directly.
#   ## If this option is uncommented, environment variables will be ignored.
#   ## Connection string should contain EventHubName (EntityPath)
#   # connection_string = ""
#
#   ## Set persistence directory to a valid folder to use a file persister instead of an in-memory persister
#   # persistence_dir = ""
#
#   ## Change the default consumer group
#   # consumer_group = ""
#
#   ## By default the event hub receives all messages present on the broker, alternative modes can be set below.
#   ## The timestamp should be in https://github.com/toml-lang/toml#offset-date-time format (RFC 3339).
#   ## The 3 options below only apply if no valid persister is read from memory or file (e.g. first run).
#   # from_timestamp =
#   # latest = true
#
#   ## Set a custom prefetch count for the receiver(s)
#   # prefetch_count = 1000
#
#   ## Add an epoch to the receiver(s)
#   # epoch = 0
#
#   ## Change to set a custom user agent, "telegraf" is used by default
#   # user_agent = "telegraf"
#
#   ## To consume from a specific partition, set the partition_ids option.
#   ## An empty array will result in receiving from all partitions.
#   # partition_ids = ["0","1"]
#
#   ## Max undelivered messages
#   # max_undelivered_messages = 1000
#
#   ## Set either option below to true to use a system property as timestamp.
#   ## You have the choice between EnqueuedTime and IoTHubEnqueuedTime.
#   ## It is recommended to use this setting when the data itself has no timestamp.
#   # enqueued_time_as_ts = true
#   # iot_hub_enqueued_time_as_ts = true
#
#   ## Tags or fields to create from keys present in the application property bag.
#   ## These could for example be set by message enrichments in Azure IoT Hub.
#   # application_property_tags = []
#   # application_property_fields = []
#
#   ## Tag or field name to use for metadata
#   ## By default all metadata is disabled
#   # sequence_number_field = "SequenceNumber"
#   # enqueued_time_field = "EnqueuedTime"
#   # offset_field = "Offset"
#   # partition_id_tag = "PartitionID"
#   # partition_key_tag = "PartitionKey"
#   # iot_hub_device_connection_id_tag = "IoTHubDeviceConnectionID"
#   # iot_hub_auth_generation_id_tag = "IoTHubAuthGenerationID"
#   # iot_hub_connection_auth_method_tag = "IoTHubConnectionAuthMethod"
#   # iot_hub_connection_module_id_tag = "IoTHubConnectionModuleID"
#   # iot_hub_enqueued_time_field = "IoTHubEnqueuedTime"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Run executable as long-running input plugin
# [[inputs.execd]]
#   ## Program to run as daemon
#   command = ["telegraf-smartctl", "-d", "/dev/sda"]
#
#   ## Define how the process is signaled on each collection interval.
#   ## Valid values are:
#   ##   "none"   : Do not signal anything.
#   ##              The process must output metrics by itself.
#   ##   "STDIN"   : Send a newline on STDIN.
#   ##   "SIGHUP"  : Send a HUP signal. Not available on Windows.
#   ##   "SIGUSR1" : Send a USR1 signal. Not available on Windows.
#   ##   "SIGUSR2" : Send a USR2 signal. Not available on Windows.
#   signal = "none"
#
#   ## Delay before the process is restarted after an unexpected termination
#   restart_delay = "10s"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # gNMI telemetry input plugin
# [[inputs.gnmi]]
#  ## Address and port of the gNMI GRPC server
#  addresses = ["10.49.234.114:57777"]
#
#  ## define credentials
#  username = "cisco"
#  password = "cisco"
#
#  ## gNMI encoding requested (one of: "proto", "json", "json_ietf", "bytes")
#  # encoding = "proto"
#
#  ## redial in case of failures after
#  redial = "10s"
#
#  ## enable client-side TLS and define CA to authenticate the device
#  # enable_tls = true
#  # tls_ca = "/etc/telegraf/ca.pem"
#  # insecure_skip_verify = true
#
#  ## define client-side TLS certificate & key to authenticate to the device
#  # tls_cert = "/etc/telegraf/cert.pem"
#  # tls_key = "/etc/telegraf/key.pem"
#
#  ## gNMI subscription prefix (optional, can usually be left empty)
#  ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
#  # origin = ""
#  # prefix = ""
#  # target = ""
#
#  ## Define additional aliases to map telemetry encoding paths to simple measurement names
#  #[inputs.gnmi.aliases]
#  #  ifcounters = "openconfig:/interfaces/interface/state/counters"
#
#  [[inputs.gnmi.subscription]]
#   ## Name of the measurement that will be emitted
#   name = "ifcounters"
#
#   ## Origin and path of the subscription
#   ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
#   ##
#   ## origin usually refers to a (YANG) data model implemented by the device
#   ## and path to a specific substructure inside it that should be subscribed to (similar to an XPath)
#   ## YANG models can be found e.g. here: https://github.com/YangModels/yang/tree/master/vendor/cisco/xr
#   origin = "openconfig-interfaces"
#   path = "/interfaces/interface/state/counters"
#
#   # Subscription mode (one of: "target_defined", "sample", "on_change") and interval
#   subscription_mode = "sample"
#   sample_interval = "10s"
#
#   ## Suppress redundant transmissions when measured values are unchanged
#   # suppress_redundant = false
#
#   ## If suppression is enabled, send updates at least every X seconds anyway
#   # heartbeat_interval = "60s"


# # Accept metrics over InfluxDB 1.x HTTP API
# [[inputs.http_listener]]
#   ## Address and port to host InfluxDB listener on
#   service_address = ":8186"
#
#   ## maximum duration before timing out read of the request
#   read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   write_timeout = "10s"
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   max_body_size = "32MiB"
#
#   ## Optional tag name used to store the database.
#   ## If the write has a database in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   # database_tag = ""
#
#   ## If set the retention policy specified in the write query will be added as
#   ## the value of this tag name.
#   # retention_policy_tag = ""
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   tls_cert = "/etc/telegraf/cert.pem"
#   tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = "foobar"
#   # basic_password = "barfoo"


# # Generic HTTP write listener
# [[inputs.http_listener_v2]]
#   ## Address and port to host HTTP listener on
#   service_address = ":8080"
#
#   ## Path to listen to.
#   ## This option is deprecated and only available for backward-compatibility. Please use paths instead.
#   # path = ""
#
#   ## Paths to listen to.
#   # paths = ["/telegraf"]
#
#   ## Save path as http_listener_v2_path tag if set to true
#   # path_tag = false
#
#   ## HTTP methods to accept.
#   # methods = ["POST", "PUT"]
#
#   ## maximum duration before timing out read of the request
#   # read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   # write_timeout = "10s"
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,000 bytes (500 mebibytes)
#   # max_body_size = "500MB"
#
#   ## Part of the request to consume.  Available options are "body" and
#   ## "query".
#   # data_source = "body"
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = "foobar"
#   # basic_password = "barfoo"
#
#   ## Optional setting to map http headers into tags
#   ## If the http header is not present on the request, no corresponding tag will be added
#   ## If multiple instances of the http header are present, only the first value will be used
#   # http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Accept metrics over InfluxDB 1.x HTTP API
# [[inputs.influxdb_listener]]
#   ## Address and port to host InfluxDB listener on
#   service_address = ":8186"
#
#   ## maximum duration before timing out read of the request
#   read_timeout = "10s"
#   ## maximum duration before timing out write of the response
#   write_timeout = "10s"
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   max_body_size = "32MiB"
#
#   ## Optional tag name used to store the database.
#   ## If the write has a database in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   # database_tag = ""
#
#   ## If set the retention policy specified in the write query will be added as
#   ## the value of this tag name.
#   # retention_policy_tag = ""
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   tls_cert = "/etc/telegraf/cert.pem"
#   tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = "foobar"
#   # basic_password = "barfoo"


# # Accept metrics over InfluxDB 2.x HTTP API
# [[inputs.influxdb_v2_listener]]
#   ## Address and port to host InfluxDB listener on
#   ## (Double check the port. Could be 9999 if using OSS Beta)
#   service_address = ":8086"
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   # max_body_size = "32MiB"
#
#   ## Optional tag to determine the bucket.
#   ## If the write has a bucket in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   # bucket_tag = ""
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Add service certificate and key
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Optional token to accept for HTTP authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # token = "some-long-shared-secret-token"


# # Read JTI OpenConfig Telemetry from listed sensors
# [[inputs.jti_openconfig_telemetry]]
#   ## List of device addresses to collect telemetry from
#   servers = ["localhost:1883"]
#
#   ## Authentication details. Username and password are must if device expects
#   ## authentication. Client ID must be unique when connecting from multiple instances
#   ## of telegraf to the same device
#   username = "user"
#   password = "pass"
#   client_id = "telegraf"
#
#   ## Frequency to get data
#   sample_frequency = "1000ms"
#
#   ## Sensors to subscribe for
#   ## A identifier for each sensor can be provided in path by separating with space
#   ## Else sensor path will be used as identifier
#   ## When identifier is used, we can provide a list of space separated sensors.
#   ## A single subscription will be created with all these sensors and data will
#   ## be saved to measurement with this identifier name
#   sensors = [
#    "/interfaces/",
#    "collection /components/ /lldp",
#   ]
#
#   ## We allow specifying sensor group level reporting rate. To do this, specify the
#   ## reporting rate in Duration at the beginning of sensor paths / collection
#   ## name. For entries without reporting rate, we use configured sample frequency
#   sensors = [
#    "1000ms customReporting /interfaces /lldp",
#    "2000ms collection /components",
#    "/interfaces",
#   ]
#
#   ## Optional TLS Config
#   # enable_tls = true
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms.
#   ## Failed streams/calls will not be retried if 0 is provided
#   retry_delay = "1000ms"
#
#   ## To treat all string values as tags, set this to true
#   str_as_tags = false


# # Read metrics from Kafka topics
# [[inputs.kafka_consumer]]
#   ## Kafka brokers.
#   brokers = ["localhost:9092"]
#
#   ## Topics to consume.
#   topics = ["telegraf"]
#
#   ## When set this tag will be added to all metrics with the topic as the value.
#   # topic_tag = ""
#
#   ## Optional Client id
#   # client_id = "Telegraf"
#
#   ## Set the minimal supported Kafka version.  Setting this enables the use of new
#   ## Kafka features and APIs.  Must be 0.10.2.0 or greater.
#   ##   ex: version = "1.1.0"
#   # version = ""
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## SASL authentication credentials.  These settings should typically be used
#   ## with TLS encryption enabled
#   # sasl_username = "kafka"
#   # sasl_password = "secret"
#
#   ## Optional SASL:
#   ## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI
#   ## (defaults to PLAIN)
#   # sasl_mechanism = ""
#
#   ## used if sasl_mechanism is GSSAPI (experimental)
#   # sasl_gssapi_service_name = ""
#   # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
#   # sasl_gssapi_auth_type = "KRB5_USER_AUTH"
#   # sasl_gssapi_kerberos_config_path = "/"
#   # sasl_gssapi_realm = "realm"
#   # sasl_gssapi_key_tab_path = ""
#   # sasl_gssapi_disable_pafxfast = false
#
#   ## used if sasl_mechanism is OAUTHBEARER (experimental)
#   # sasl_access_token = ""
#
#   ## SASL protocol version.  When connecting to Azure EventHub set to 0.
#   # sasl_version = 1
#
#   ## Name of the consumer group.
#   # consumer_group = "telegraf_metrics_consumers"
#
#   ## Compression codec represents the various compression codecs recognized by
#   ## Kafka in messages.
#   ##  0 : None
#   ##  1 : Gzip
#   ##  2 : Snappy
#   ##  3 : LZ4
#   ##  4 : ZSTD
#    # compression_codec = 0
#
#   ## Initial offset position; one of "oldest" or "newest".
#   # offset = "oldest"
#
#   ## Consumer group partition assignment strategy; one of "range", "roundrobin" or "sticky".
#   # balance_strategy = "range"
#
#   ## Maximum length of a message to consume, in bytes (default 0/unlimited);
#   ## larger messages are dropped
#   max_message_len = 1000000
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read metrics from Kafka topic(s)
# [[inputs.kafka_consumer_legacy]]
#   ## topic(s) to consume
#   topics = ["telegraf"]
#
#   ## an array of Zookeeper connection strings
#   zookeeper_peers = ["localhost:2181"]
#
#   ## Zookeeper Chroot
#   zookeeper_chroot = ""
#
#   ## the name of the consumer group
#   consumer_group = "telegraf_metrics_consumers"
#
#   ## Offset (must be either "oldest" or "newest")
#   offset = "oldest"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Maximum length of a message to consume, in bytes (default 0/unlimited);
#   ## larger messages are dropped
#   max_message_len = 65536


# # Configuration for the AWS Kinesis input.
# [[inputs.kinesis_consumer]]
#   ## Amazon REGION of kinesis endpoint.
#   region = "ap-southeast-2"
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
#   ## 2) Assumed credentials via STS if role_arn is specified
#   ## 3) explicit credentials from 'access_key' and 'secret_key'
#   ## 4) shared profile from 'profile'
#   ## 5) environment variables
#   ## 6) shared credentials file
#   ## 7) EC2 Instance Profile
#   # access_key = ""
#   # secret_key = ""
#   # token = ""
#   # role_arn = ""
#   # web_identity_token_file = ""
#   # role_session_name = ""
#   # profile = ""
#   # shared_credential_file = ""
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = "http://localhost:8000"
#   # endpoint_url = ""
#
#   ## Kinesis StreamName must exist prior to starting telegraf.
#   streamname = "StreamName"
#
#   ## Shard iterator type (only 'TRIM_HORIZON' and 'LATEST' currently supported)
#   # shard_iterator_type = "TRIM_HORIZON"
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ##
#   ## The content encoding of the data from kinesis
#   ## If you are processing a cloudwatch logs kinesis stream then set this to "gzip"
#   ## as AWS compresses cloudwatch log data before it is sent to kinesis (aws
#   ## also base64 encodes the zip byte data before pushing to the stream.  The base64 decoding
#   ## is done automatically by the golang sdk, as data is read from kinesis)
#   ##
#   # content_encoding = "identity"
#
#   ## Optional
#   ## Configuration for a dynamodb checkpoint
#   [inputs.kinesis_consumer.checkpoint_dynamodb]
#   ## unique name for this consumer
#   app_name = "default"
#   table_name = "default"


# # Listener capable of handling KNX bus messages provided through a KNX-IP Interface.
# [[inputs.knx_listener]]
#   ## Type of KNX-IP interface.
#   ## Can be either "tunnel" or "router".
#   # service_type = "tunnel"
#
#   ## Address of the KNX-IP interface.
#   service_address = "localhost:3671"
#
#   ## Measurement definition(s)
#   # [[inputs.knx_listener.measurement]]
#   #   ## Name of the measurement
#   #   name = "temperature"
#   #   ## Datapoint-Type (DPT) of the KNX messages
#   #   dpt = "9.001"
#   #   ## List of Group-Addresses (GAs) assigned to the measurement
#   #   addresses = ["5/5/1"]
#
#   # [[inputs.knx_listener.measurement]]
#   #   name = "illumination"
#   #   dpt = "9.004"
#   #   addresses = ["5/5/3"]


# # Read metrics off Arista LANZ, via socket
# [[inputs.lanz]]
#   ## URL to Arista LANZ endpoint
#   servers = [
#     "tcp://127.0.0.1:50001"
#   ]


# # Stream and parse log file(s).
# [[inputs.logparser]]
#   ## Log files to parse.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   /var/log/**.log     -> recursively find all .log files in /var/log
#   ##   /var/log/*/*.log    -> find all .log files with a parent dir in /var/log
#   ##   /var/log/apache.log -> only tail the apache log file
#   files = ["/var/log/apache/access.log"]
#
#   ## Read files that currently exist from the beginning. Files that are created
#   ## while telegraf is running (and that match the "files" globs) will always
#   ## be read from the beginning.
#   from_beginning = false
#
#   ## Method used to watch for file updates.  Can be either "inotify" or "poll".
#   # watch_method = "inotify"
#
#   ## Parse logstash-style "grok" patterns:
#   [inputs.logparser.grok]
#     ## This is a list of patterns to check the given log file(s) for.
#     ## Note that adding patterns here increases processing time. The most
#     ## efficient configuration is to have one pattern per logparser.
#     ## Other common built-in patterns are:
#     ##   %{COMMON_LOG_FORMAT}   (plain apache & nginx access logs)
#     ##   %{COMBINED_LOG_FORMAT} (access logs + referrer & agent)
#     patterns = ["%{COMBINED_LOG_FORMAT}"]
#
#     ## Name of the outputted measurement name.
#     measurement = "apache_access_log"
#
#     ## Full path(s) to custom pattern files.
#     custom_pattern_files = []
#
#     ## Custom patterns can also be defined here. Put one pattern per line.
#     custom_patterns = '''
#     '''
#
#     ## Timezone allows you to provide an override for timestamps that
#     ## don't already include an offset
#     ## e.g. 04/06/2016 12:41:45 data one two 5.43μs
#     ##
#     ## Default: "" which renders UTC
#     ## Options are as follows:
#     ##   1. Local             -- interpret based on machine localtime
#     ##   2. "Canada/Eastern"  -- Unix TZ values like those found in https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
#     ##   3. UTC               -- or blank/unspecified, will return timestamp in UTC
#     # timezone = "Canada/Eastern"
#
#   ## When set to "disable", timestamp will not incremented if there is a
#   ## duplicate.
#     # unique_timestamp = "auto"


# # Read metrics from MQTT topic(s)
# [[inputs.mqtt_consumer]]
#   ## Broker URLs for the MQTT server or cluster.  To connect to multiple
#   ## clusters or standalone servers, use a seperate plugin instance.
#   ##   example: servers = ["tcp://localhost:1883"]
#   ##            servers = ["ssl://localhost:1883"]
#   ##            servers = ["ws://localhost:1883"]
#   servers = ["tcp://127.0.0.1:1883"]
#
#   ## Topics that will be subscribed to.
#   topics = [
#     "telegraf/host01/cpu",
#     "telegraf/+/mem",
#     "sensors/#",
#   ]
#
#   ## The message topic will be stored in a tag specified by this value.  If set
#   ## to the empty string no topic tag will be created.
#   # topic_tag = "topic"
#
#   ## QoS policy for messages
#   ##   0 = at most once
#   ##   1 = at least once
#   ##   2 = exactly once
#   ##
#   ## When using a QoS of 1 or 2, you should enable persistent_session to allow
#   ## resuming unacknowledged messages.
#   # qos = 0
#
#   ## Connection timeout for initial connection in seconds
#   # connection_timeout = "30s"
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Persistent session disables clearing of the client session on connection.
#   ## In order for this option to work you must also set client_id to identify
#   ## the client.  To receive messages that arrived while the client is offline,
#   ## also set the qos option to 1 or 2 and don't forget to also set the QoS when
#   ## publishing.
#   # persistent_session = false
#
#   ## If unset, a random client ID will be generated.
#   # client_id = ""
#
#   ## Username and password to connect MQTT server.
#   # username = "telegraf"
#   # password = "metricsmetricsmetricsmetrics"
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read metrics from NATS subject(s)
# [[inputs.nats_consumer]]
#   ## urls of NATS servers
#   servers = ["nats://localhost:4222"]
#
#   ## subject(s) to consume
#   subjects = ["telegraf"]
#
#   ## name a queue group
#   queue_group = "telegraf_consumers"
#
#   ## Optional credentials
#   # username = ""
#   # password = ""
#
#   ## Optional NATS 2.0 and NATS NGS compatible user credentials
#   # credentials = "/etc/telegraf/nats.creds"
#
#   ## Use Transport Layer Security
#   # secure = false
#
#   ## Optional TLS Config
#   # tls_ca = "/etc/telegraf/ca.pem"
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## Sets the limits for pending msgs and bytes for each subscription
#   ## These shouldn't need to be adjusted except in very high throughput scenarios
#   # pending_message_limit = 65536
#   # pending_bytes_limit = 67108864
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Read NSQ topic for metrics.
# [[inputs.nsq_consumer]]
#   ## Server option still works but is deprecated, we just prepend it to the nsqd array.
#   # server = "localhost:4150"
#
#   ## An array representing the NSQD TCP HTTP Endpoints
#   nsqd = ["localhost:4150"]
#
#   ## An array representing the NSQLookupd HTTP Endpoints
#   nsqlookupd = ["localhost:4161"]
#   topic = "telegraf"
#   channel = "consumer"
#   max_in_flight = 100
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"


# # Receive OpenTelemetry traces, metrics, and logs over gRPC
# [[inputs.opentelemetry]]
#   ## Override the default (0.0.0.0:4317) destination OpenTelemetry gRPC service
#   ## address:port
#   # service_address = "0.0.0.0:4317"
#
#   ## Override the default (5s) new connection timeout
#   # timeout = "5s"
#
#   ## Override the default (prometheus-v1) metrics schema.
#   ## Supports: "prometheus-v1", "prometheus-v2"
#   ## For more information about the alternatives, read the Prometheus input
#   ## plugin notes.
#   # metrics_schema = "prometheus-v1"
#
#   ## Optional TLS Config.
#   ## For advanced options: https://github.com/influxdata/telegraf/blob/v1.18.3/docs/TLS.md
#   ##
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#   ## Add service certificate and key.
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"


# # Read metrics from one or many pgbouncer servers
# [[inputs.pgbouncer]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqgotest password=... sslmode=... dbname=app_production
#   ##
#   ## All connection parameters are optional.
#   ##
#   address = "host=localhost user=pgbouncer sslmode=disable"


# # Read metrics from one or many postgresql servers
# [[inputs.postgresql]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqgotest password=... sslmode=... dbname=app_production
#   ##
#   ## All connection parameters are optional.
#   ##
#   ## Without the dbname parameter, the driver will default to a database
#   ## with the same name as the user. This dbname is just for instantiating a
#   ## connection with the server and doesn't restrict the databases we are trying
#   ## to grab metrics for.
#   ##
#   address = "host=localhost user=postgres sslmode=disable"
#   ## A custom name for the database that will be used as the "server" tag in the
#   ## measurement output. If not specified, a default one generated from
#   ## the connection address is used.
#   # outputaddress = "db01"
#
#   ## connection configuration.
#   ## maxlifetime - specify the maximum lifetime of a connection.
#   ## default is forever (0s)
#   max_lifetime = "0s"
#
#   ## A  list of databases to explicitly ignore.  If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'databases' option.
#   # ignored_databases = ["postgres", "template0", "template1"]
#
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'ignored_databases' option.
#   # databases = ["app_production", "testing"]


# # Read metrics from one or many postgresql servers
# [[inputs.postgresql_extensible]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqgotest password=... sslmode=... dbname=app_production
#   #
#   ## All connection parameters are optional.  #
#   ## Without the dbname parameter, the driver will default to a database
#   ## with the same name as the user. This dbname is just for instantiating a
#   ## connection with the server and doesn't restrict the databases we are trying
#   ## to grab metrics for.
#   #
#   address = "host=localhost user=postgres sslmode=disable"
#
#   ## connection configuration.
#   ## maxlifetime - specify the maximum lifetime of a connection.
#   ## default is forever (0s)
#   max_lifetime = "0s"
#
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.
#   ## databases = ["app_production", "testing"]
#   #
#   ## A custom name for the database that will be used as the "server" tag in the
#   ## measurement output. If not specified, a default one generated from
#   ## the connection address is used.
#   # outputaddress = "db01"
#   #
#   ## Define the toml config where the sql queries are stored
#   ## New queries can be added, if the withdbname is set to true and there is no
#   ## databases defined in the 'databases field', the sql query is ended by a
#   ## 'is not null' in order to make the query succeed.
#   ## Example :
#   ## The sqlquery : "SELECT * FROM pg_stat_database where datname" become
#   ## "SELECT * FROM pg_stat_database where datname IN ('postgres', 'pgbench')"
#   ## because the databases variable was set to ['postgres', 'pgbench' ] and the
#   ## withdbname was true. Be careful that if the withdbname is set to false you
#   ## don't have to define the where clause (aka with the dbname) the tagvalue
#   ## field is used to define custom tags (separated by commas)
#   ## The optional "measurement" value can be used to override the default
#   ## output measurement name ("postgresql").
#   ##
#   ## The script option can be used to specify the .sql file path.
#   ## If script and sqlquery options specified at same time, sqlquery will be used
#   ##
#   ## the tagvalue field is used to define custom tags (separated by comas).
#   ## the query is expected to return columns which match the names of the
#   ## defined tags. The values in these columns must be of a string-type,
#   ## a number-type or a blob-type.
#   ##
#   ## The timestamp field is used to override the data points timestamp value. By
#   ## default, all rows inserted with current time. By setting a timestamp column,
#   ## the row will be inserted with that column's value.
#   ##
#   ## Structure :
#   ## [[inputs.postgresql_extensible.query]]
#   ##   sqlquery string
#   ##   version string
#   ##   withdbname boolean
#   ##   tagvalue string (comma separated)
#   ##   measurement string
#   ##   timestamp string
#   [[inputs.postgresql_extensible.query]]
#     sqlquery="SELECT * FROM pg_stat_database"
#     version=901
#     withdbname=false
#     tagvalue=""
#     measurement=""
#   [[inputs.postgresql_extensible.query]]
#     sqlquery="SELECT * FROM pg_stat_bgwriter"
#     version=901
#     withdbname=false
#     tagvalue="postgresql.stats"


# # Read metrics from one or many prometheus clients
# [[inputs.prometheus]]
#   ## An array of urls to scrape metrics from.
#   urls = ["http://localhost:9100/metrics"]
#
#   ## Metric version controls the mapping from Prometheus metrics into
#   ## Telegraf metrics.  When using the prometheus_client output, use the same
#   ## value in both plugins to ensure metrics are round-tripped without
#   ## modification.
#   ##
#   ##   example: metric_version = 1;
#   ##            metric_version = 2; recommended version
#   # metric_version = 1
#
#   ## Url tag name (tag containing scrapped url. optional, default is "url")
#   # url_tag = "url"
#
#   ## Whether the timestamp of the scraped metrics will be ignored.
#   ## If set to true, the gather time will be used.
#   # ignore_timestamp = false
#
#   ## An array of Kubernetes services to scrape metrics from.
#   # kubernetes_services = ["http://my-service-dns.my-namespace:9100/metrics"]
#
#   ## Kubernetes config file to create client from.
#   # kube_config = "/path/to/kubernetes.config"
#
#   ## Scrape Kubernetes pods for the following prometheus annotations:
#   ## - prometheus.io/scrape: Enable scraping for this pod
#   ## - prometheus.io/scheme: If the metrics endpoint is secured then you will need to
#   ##     set this to 'https' & most likely set the tls config.
#   ## - prometheus.io/path: If the metrics path is not /metrics, define it with this annotation.
#   ## - prometheus.io/port: If port is not 9102 use this annotation
#   # monitor_kubernetes_pods = true
#   ## Get the list of pods to scrape with either the scope of
#   ## - cluster: the kubernetes watch api (default, no need to specify)
#   ## - node: the local cadvisor api; for scalability. Note that the config node_ip or the environment variable NODE_IP must be set to the host IP.
#   # pod_scrape_scope = "cluster"
#   ## Only for node scrape scope: node IP of the node that telegraf is running on.
#   ## Either this config or the environment variable NODE_IP must be set.
#   # node_ip = "10.180.1.1"
#   ## Only for node scrape scope: interval in seconds for how often to get updated pod list for scraping.
#   ## Default is 60 seconds.
#   # pod_scrape_interval = 60
#   ## Restricts Kubernetes monitoring to a single namespace
#   ##   ex: monitor_kubernetes_pods_namespace = "default"
#   # monitor_kubernetes_pods_namespace = ""
#   # label selector to target pods which have the label
#   # kubernetes_label_selector = "env=dev,app=nginx"
#   # field selector to target pods
#   # eg. To scrape pods on a specific node
#   # kubernetes_field_selector = "spec.nodeName=$HOSTNAME"
#
#   ## Scrape Services available in Consul Catalog
#   # [inputs.prometheus.consul]
#   #   enabled = true
#   #   agent = "http://localhost:8500"
#   #   query_interval = "5m"
#
#   #   [[inputs.prometheus.consul.query]]
#   #     name = "a service name"
#   #     tag = "a service tag"
#   #     url = 'http://{{if ne .ServiceAddress ""}}{{.ServiceAddress}}{{else}}{{.Address}}{{end}}:{{.ServicePort}}/{{with .ServiceMeta.metrics_path}}{{.}}{{else}}metrics{{end}}'
#   #     [inputs.prometheus.consul.query.tags]
#   #       host = "{{.Node}}"
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   # bearer_token = "/path/to/bearer/token"
#   ## OR
#   # bearer_token_string = "abc_123"
#
#   ## HTTP Basic Authentication username and password. ('bearer_token' and
#   ## 'bearer_token_string' take priority)
#   # username = ""
#   # password = ""
#
#   ## Specify timeout duration for slower prometheus clients (default is 3s)
#   # response_timeout = "3s"
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#   ## Use TLS but skip chain & host verification
#   # insecure_skip_verify = false


# # Riemann protobuff listener.
# [[inputs.riemann_listener]]
#   ## URL to listen on.
#   ## Default is "tcp://:5555"
#   # service_address = "tcp://:8094"
#   # service_address = "tcp://127.0.0.1:http"
#   # service_address = "tcp4://:8094"
#   # service_address = "tcp6://:8094"
#   # service_address = "tcp6://[2001:db8::1]:8094"
#
#   ## Maximum number of concurrent connections.
#   ## 0 (default) is unlimited.
#   # max_connections = 1024
#   ## Read timeout.
#   ## 0 (default) is unlimited.
#   # read_timeout = "30s"
#   ## Optional TLS configuration.
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key  = "/etc/telegraf/key.pem"
#   ## Enables client authentication if set.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#   ## Maximum socket buffer size (in bytes when no unit specified).
#   # read_buffer_size = "64KiB"
#   ## Period between keep alive probes.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = "5m"


# # SFlow V5 Protocol Listener
# [[inputs.sflow]]
#   ## Address to listen for sFlow packets.
#   ##   example: service_address = "udp://:6343"
#   ##            service_address = "udp4://:6343"
#   ##            service_address = "udp6://:6343"
#   service_address = "udp://:6343"
#
#   ## Set the size of the operating system's receive buffer.
#   ##   example: read_buffer_size = "64KiB"
#   # read_buffer_size = ""


# # Receive SNMP traps
# [[inputs.snmp_trap]]
#   ## Transport, local address, and port to listen on.  Transport must
#   ## be "udp://".  Omit local address to listen on all interfaces.
#   ##   example: "udp://127.0.0.1:1234"
#   ##
#   ## Special permissions may be required to listen on a port less than
#   ## 1024.  See README.md for details
#   ##
#   # service_address = "udp://:162"
#   ##
#   ## Path to mib files
#   # path = ["/usr/share/snmp/mibs"]
#   ##
#   ## Timeout running snmptranslate command
#   # timeout = "5s"
#   ## Snmp version, defaults to 2c
#   # version = "2c"
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = "myuser"
#   ## Authentication protocol; one of "MD5", "SHA" or "".
#   # auth_protocol = "MD5"
#   ## Authentication password.
#   # auth_password = "pass"
#   ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
#   # sec_level = "authNoPriv"
#   ## Privacy protocol used for encrypted messages; one of "DES", "AES", "AES192", "AES192C", "AES256", "AES256C" or "".
#   # priv_protocol = ""
#   ## Privacy password used for encrypted messages.
#   # priv_password = ""


# # Generic socket listener capable of handling multiple socket types.
# [[inputs.socket_listener]]
#   ## URL to listen on
#   # service_address = "tcp://:8094"
#   # service_address = "tcp://127.0.0.1:http"
#   # service_address = "tcp4://:8094"
#   # service_address = "tcp6://:8094"
#   # service_address = "tcp6://[2001:db8::1]:8094"
#   # service_address = "udp://:8094"
#   # service_address = "udp4://:8094"
#   # service_address = "udp6://:8094"
#   # service_address = "unix:///tmp/telegraf.sock"
#   # service_address = "unixgram:///tmp/telegraf.sock"
#
#   ## Change the file mode bits on unix sockets.  These permissions may not be
#   ## respected by some platforms, to safely restrict write permissions it is best
#   ## to place the socket into a directory that has previously been created
#   ## with the desired permissions.
#   ##   ex: socket_mode = "777"
#   # socket_mode = ""
#
#   ## Maximum number of concurrent connections.
#   ## Only applies to stream sockets (e.g. TCP).
#   ## 0 (default) is unlimited.
#   # max_connections = 1024
#
#   ## Read timeout.
#   ## Only applies to stream sockets (e.g. TCP).
#   ## 0 (default) is unlimited.
#   # read_timeout = "30s"
#
#   ## Optional TLS configuration.
#   ## Only applies to stream sockets (e.g. TCP).
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key  = "/etc/telegraf/key.pem"
#   ## Enables client authentication if set.
#   # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
#   ## Maximum socket buffer size (in bytes when no unit specified).
#   ## For stream sockets, once the buffer fills up, the sender will start backing up.
#   ## For datagram sockets, once the buffer fills up, metrics will start dropping.
#   ## Defaults to the OS default.
#   # read_buffer_size = "64KiB"
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = "5m"
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = "influx"
#
#   ## Content encoding for message payloads, can be set to "gzip" to or
#   ## "identity" to apply no encoding.
#   # content_encoding = "identity"


# # Read metrics from SQL queries
# [[inputs.sql]]
#   ## Database Driver
#   ## See https://github.com/influxdata/telegraf/blob/master/docs/SQL_DRIVERS_INPUT.md for
#   ## a list of supported drivers.
#   driver = "mysql"
#
#   ## Data source name for connecting
#   ## The syntax and supported options depends on selected driver.
#   dsn = "username:password@mysqlserver:3307/dbname?param=value"
#
#   ## Timeout for any operation
#   ## Note that the timeout for queries is per query not per gather.
#   # timeout = "5s"
#
#   ## Connection time limits
#   ## By default the maximum idle time and maximum lifetime of a connection is unlimited, i.e. the connections
#   ## will not be closed automatically. If you specify a positive time, the connections will be closed after
#   ## idleing or existing for at least that amount of time, respectively.
#   # connection_max_idle_time = "0s"
#   # connection_max_life_time = "0s"
#
#   ## Connection count limits
#   ## By default the number of open connections is not limited and the number of maximum idle connections
#   ## will be inferred from the number of queries specified. If you specify a positive number for any of the
#   ## two options, connections will be closed when reaching the specified limit. The number of idle connections
#   ## will be clipped to the maximum number of connections limit if any.
#   # connection_max_open = 0
#   # connection_max_idle = auto
#
#   [[inputs.sql.query]]
#     ## Query to perform on the server
#     query="SELECT user,state,latency,score FROM Scoreboard WHERE application > 0"
#     ## Alternatively to specifying the query directly you can select a file here containing the SQL query.
#     ## Only one of 'query' and 'query_script' can be specified!
#     # query_script = "/path/to/sql/script.sql"
#
#     ## Name of the measurement
#     ## In case both measurement and 'measurement_col' are given, the latter takes precedence.
#     # measurement = "sql"
#
#     ## Column name containing the name of the measurement
#     ## If given, this will take precedence over the 'measurement' setting. In case a query result
#     ## does not contain the specified column, we fall-back to the 'measurement' setting.
#     # measurement_column = ""
#
#     ## Column name containing the time of the measurement
#     ## If ommited, the time of the query will be used.
#     # time_column = ""
#
#     ## Format of the time contained in 'time_col'
#     ## The time must be 'unix', 'unix_ms', 'unix_us', 'unix_ns', or a golang time format.
#     ## See https://golang.org/pkg/time/#Time.Format for details.
#     # time_format = "unix"
#
#     ## Column names containing tags
#     ## An empty include list will reject all columns and an empty exclude list will not exclude any column.
#     ## I.e. by default no columns will be returned as tag and the tags are empty.
#     # tag_columns_include = []
#     # tag_columns_exclude = []
#
#       ## Column names containing fields (explicit types)
#     ## Convert the given columns to the corresponding type. Explicit type conversions take precedence over
#       ## the automatic (driver-based) conversion below.
#       ## NOTE: Columns should not be specified for multiple types or the resulting type is undefined.
#     # field_columns_float = []
#     # field_columns_int = []
#       # field_columns_uint = []
#       # field_columns_bool = []
#       # field_columns_string = []
#
#     ## Column names containing fields (automatic types)
#     ## An empty include list is equivalent to '[*]' and all returned columns will be accepted. An empty
#     ## exclude list will not exclude any column. I.e. by default all columns will be returned as fields.
#     ## NOTE: We rely on the database driver to perform automatic datatype conversion.
#     # field_columns_include = []
#     # field_columns_exclude = []


# # Read metrics from Microsoft SQL Server
# [[inputs.sqlserver]]
# ## Specify instances to monitor with a list of connection strings.
# ## All connection parameters are optional.
# ## By default, the host is localhost, listening on default port, TCP 1433.
# ##   for Windows, the user is the currently running AD user (SSO).
# ##   See https://github.com/denisenkom/go-mssqldb for detailed connection
# ##   parameters, in particular, tls connections can be created like so:
# ##   "encrypt=true;certificate=<cert>;hostNameInCertificate=<SqlServer host fqdn>"
# servers = [
#   "Server=192.168.1.10;Port=1433;User Id=<user>;Password=<pw>;app name=telegraf;log=1;",
# ]
#
# ## Authentication method
# ## valid methods: "connection_string", "AAD"
# # auth_method = "connection_string"
#
# ## "database_type" enables a specific set of queries depending on the database type. If specified, it replaces azuredb = true/false and query_version = 2
# ## In the config file, the sql server plugin section should be repeated each with a set of servers for a specific database_type.
# ## Possible values for database_type are - "AzureSQLDB" or "AzureSQLManagedInstance" or "SQLServer"
#
# ## Queries enabled by default for database_type = "AzureSQLDB" are -
# ## AzureSQLDBResourceStats, AzureSQLDBResourceGovernance, AzureSQLDBWaitStats, AzureSQLDBDatabaseIO, AzureSQLDBServerProperties,
# ## AzureSQLDBOsWaitstats, AzureSQLDBMemoryClerks, AzureSQLDBPerformanceCounters, AzureSQLDBRequests, AzureSQLDBSchedulers
#
# # database_type = "AzureSQLDB"
#
# ## A list of queries to include. If not specified, all the above listed queries are used.
# # include_query = []
#
# ## A list of queries to explicitly ignore.
# # exclude_query = []
#
# ## Queries enabled by default for database_type = "AzureSQLManagedInstance" are -
# ## AzureSQLMIResourceStats, AzureSQLMIResourceGovernance, AzureSQLMIDatabaseIO, AzureSQLMIServerProperties, AzureSQLMIOsWaitstats,
# ## AzureSQLMIMemoryClerks, AzureSQLMIPerformanceCounters, AzureSQLMIRequests, AzureSQLMISchedulers
#
# # database_type = "AzureSQLManagedInstance"
#
# # include_query = []
#
# # exclude_query = []
#
# ## Queries enabled by default for database_type = "SQLServer" are -
# ## SQLServerPerformanceCounters, SQLServerWaitStatsCategorized, SQLServerDatabaseIO, SQLServerProperties, SQLServerMemoryClerks,
# ## SQLServerSchedulers, SQLServerRequests, SQLServerVolumeSpace, SQLServerCpu
#
# database_type = "SQLServer"
#
# include_query = []
#
# ## SQLServerAvailabilityReplicaStates and SQLServerDatabaseReplicaStates are optional queries and hence excluded here as default
# exclude_query = ["SQLServerAvailabilityReplicaStates", "SQLServerDatabaseReplicaStates"]
#
# ## Following are old config settings, you may use them only if you are using the earlier flavor of queries, however it is recommended to use
# ## the new mechanism of identifying the database_type there by use it's corresponding queries
#
# ## Optional parameter, setting this to 2 will use a new version
# ## of the collection queries that break compatibility with the original
# ## dashboards.
# ## Version 2 - is compatible from SQL Server 2012 and later versions and also for SQL Azure DB
# # query_version = 2
#
# ## If you are using AzureDB, setting this to true will gather resource utilization metrics
# # azuredb = false


# # Statsd UDP/TCP Server
# [[inputs.statsd]]
#   ## Protocol, must be "tcp", "udp", "udp4" or "udp6" (default=udp)
#   protocol = "udp"
#
#   ## MaxTCPConnection - applicable when protocol is set to tcp (default=250)
#   max_tcp_connections = 250
#
#   ## Enable TCP keep alive probes (default=false)
#   tcp_keep_alive = false
#
#   ## Specifies the keep-alive period for an active network connection.
#   ## Only applies to TCP sockets and will be ignored if tcp_keep_alive is false.
#   ## Defaults to the OS configuration.
#   # tcp_keep_alive_period = "2h"
#
#   ## Address and port to host UDP listener on
#   service_address = ":8125"
#
#   ## The following configuration options control when telegraf clears it's cache
#   ## of previous values. If set to false, then telegraf will only clear it's
#   ## cache when the daemon is restarted.
#   ## Reset gauges every interval (default=true)
#   delete_gauges = true
#   ## Reset counters every interval (default=true)
#   delete_counters = true
#   ## Reset sets every interval (default=true)
#   delete_sets = true
#   ## Reset timings & histograms every interval (default=true)
#   delete_timings = true
#
#   ## Percentiles to calculate for timing & histogram stats
#   percentiles = [50.0, 90.0, 99.0, 99.9, 99.95, 100.0]
#
#   ## separator to use between elements of a statsd metric
#   metric_separator = "_"
#
#   ## Parses tags in the datadog statsd format
#   ## http://docs.datadoghq.com/guides/dogstatsd/
#   parse_data_dog_tags = false
#
#   ## Parses datadog extensions to the statsd format
#   datadog_extensions = false
#
#   ## Parses distributions metric as specified in the datadog statsd format
#   ## https://docs.datadoghq.com/developers/metrics/types/?tab=distribution#definition
#   datadog_distributions = false
#
#   ## Statsd data translation templates, more info can be read here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/TEMPLATE_PATTERN.md
#   # templates = [
#   #     "cpu.* measurement*"
#   # ]
#
#   ## Number of UDP messages allowed to queue up, once filled,
#   ## the statsd server will start dropping packets
#   allowed_pending_messages = 10000
#
#   ## Number of timing/histogram values to track per-measurement in the
#   ## calculation of percentiles. Raising this limit increases the accuracy
#   ## of percentiles but also increases the memory usage and cpu time.
#   percentile_limit = 1000
#
#   ## Max duration (TTL) for each metric to stay cached/reported without being updated.
#   #max_ttl = "1000h"


# # Suricata stats and alerts plugin
# [[inputs.suricata]]
#   ## Data sink for Suricata stats and alerts logs
#   # This is expected to be a filename of a
#   # unix socket to be created for listening.
#   source = "/var/run/suricata-stats.sock"
#
#   # Delimiter for flattening field keys, e.g. subitem "alert" of "detect"
#   # becomes "detect_alert" when delimiter is "_".
#   delimiter = "_"
#
#   ## Detect alert logs
#   # alerts = false


# # Accepts syslog messages following RFC5424 format with transports as per RFC5426, RFC5425, or RFC6587
# [[inputs.syslog]]
#   ## Specify an ip or hostname with port - eg., tcp://localhost:6514, tcp://10.0.0.1:6514
#   ## Protocol, address and port to host the syslog receiver.
#   ## If no host is specified, then localhost is used.
#   ## If no port is specified, 6514 is used (RFC5425#section-4.1).
#   server = "tcp://:6514"
#
#   ## TLS Config
#   # tls_allowed_cacerts = ["/etc/telegraf/ca.pem"]
#   # tls_cert = "/etc/telegraf/cert.pem"
#   # tls_key = "/etc/telegraf/key.pem"
#
#   ## Period between keep alive probes.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   ## Only applies to stream sockets (e.g. TCP).
#   # keep_alive_period = "5m"
#
#   ## Maximum number of concurrent connections (default = 0).
#   ## 0 means unlimited.
#   ## Only applies to stream sockets (e.g. TCP).
#   # max_connections = 1024
#
#   ## Read timeout is the maximum time allowed for reading a single message (default = 5s).
#   ## 0 means unlimited.
#   # read_timeout = "5s"
#
#   ## The framing technique with which it is expected that messages are transported (default = "octet-counting").
#   ## Whether the messages come using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),
#   ## or the non-transparent framing technique (RFC6587#section-3.4.2).
#   ## Must be one of "octet-counting", "non-transparent".
#   # framing = "octet-counting"
#
#   ## The trailer to be expected in case of non-transparent framing (default = "LF").
#   ## Must be one of "LF", or "NUL".
#   # trailer = "LF"
#
#   ## Whether to parse in best effort mode or not (default = false).
#   ## By default best effort parsing is off.
#   # best_effort = false
#
#   ## The RFC standard to use for message parsing
#   ## By default RFC5424 is used. RFC3164 only supports UDP transport (no streaming support)
#   ## Must be one of "RFC5424", or "RFC3164".
#   # syslog_standard = "RFC5424"
#
#   ## Character to prepend to SD-PARAMs (default = "_").
#   ## A syslog message can contain multiple parameters and multiple identifiers within structured data section.
#   ## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"]
#   ## For each combination a field is created.
#   ## Its name is created concatenating identifier, sdparam_separator, and parameter name.
#   # sdparam_separator = "_"


# # Parse the new lines appended to a file
# [[inputs.tail]]
#   ## File names or a pattern to tail.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a "super asterisk". ie:
#   ##   "/var/log/**.log"  -> recursively find all .log files in /var/log
#   ##   "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log
#   ##   "/var/log/apache.log" -> just tail the apache log file
#   ##   "/var/log/log[!1-2]*  -> tail files without 1-2
#   ##   "/var/log/log[^1-2]*  -> identical behavior as above
#   ## See https://github.com/gobwas/glob for more examples
#   ##
#   files = ["/var/mymetrics.out"]
#
#   ## Read file from beginning.
#   # from_beginning = false
#
#   ## Whether file is a named pipe
#   # pipe = false
#
#   ## Method used to watch for file updates.  Can be either "inotify" or "poll".
#   # watch_method = "inotify"
#
#   ## Maximum lines of the file to process that have not yet be written by the
#   ## output.  For best throughput set based on the number of metrics on each
#   ## line and the size of the output's metric_batch_size.
#   # max_undelivered_lines = 1000
#
#   ## Character encoding to use when interpreting the file contents.  Invalid
#   ## characters are replaced using the unicode replacement character.  When set
#   ## to the empty string the data is not decoded to text.
#   ##   ex: character_encoding = "utf-8"
#   ##       character_encoding = "utf-16le"
#   ##       character_encoding = "utf-16be"
#   ##       character_encoding = ""
#   # character_encoding = ""
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = "influx"
#
#   ## Set the tag that will contain the path of the tailed file. If you don't want this tag, set it to an empty string.
#   # path_tag = "path"
#
#   ## multiline parser/codec
#   ## https://www.elastic.co/guide/en/logstash/2.4/plugins-filters-multiline.html
#   #[inputs.tail.multiline]
#     ## The pattern should be a regexp which matches what you believe to be an
#   ## indicator that the field is part of an event consisting of multiple lines of log data.
#     #pattern = "^\s"
#
#     ## This field must be either "previous" or "next".
#   ## If a line matches the pattern, "previous" indicates that it belongs to the previous line,
#   ## whereas "next" indicates that the line belongs to the next one.
#     #match_which_line = "previous"
#
#     ## The invert_match field can be true or false (defaults to false).
#     ## If true, a message not matching the pattern will constitute a match of the multiline
#   ## filter and the what will be applied. (vice-versa is also true)
#     #invert_match = false
#
#     ## After the specified timeout, this plugin sends a multiline event even if no new pattern
#   ## is found to start a new event. The default timeout is 5s.
#     #timeout = 5s


# # Generic TCP listener
# [[inputs.tcp_listener]]
#   # DEPRECATED: the TCP listener plugin has been deprecated in favor of the
#   # socket_listener plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener


# # Generic UDP listener
# [[inputs.udp_listener]]
#   # DEPRECATED: the TCP listener plugin has been deprecated in favor of the
#   # socket_listener plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener


# # Read metrics from VMware vCenter
# [[inputs.vsphere]]
#   ## List of vCenter URLs to be monitored. These three lines must be uncommented
#   ## and edited for the plugin to work.
#   vcenters = [ "https://vcenter.local/sdk" ]
#   username = "user@corp.local"
#   password = "secret"
#
#   ## VMs
#   ## Typical VM metrics (if omitted or empty, all metrics are collected)
#   # vm_include = [ "/*/vm/**"] # Inventory path to VMs to collect (by default all are collected)
#   # vm_exclude = [] # Inventory paths to exclude
#   vm_metric_include = [
#     "cpu.demand.average",
#     "cpu.idle.summation",
#     "cpu.latency.average",
#     "cpu.readiness.average",
#     "cpu.ready.summation",
#     "cpu.run.summation",
#     "cpu.usagemhz.average",
#     "cpu.used.summation",
#     "cpu.wait.summation",
#     "mem.active.average",
#     "mem.granted.average",
#     "mem.latency.average",
#     "mem.swapin.average",
#     "mem.swapinRate.average",
#     "mem.swapout.average",
#     "mem.swapoutRate.average",
#     "mem.usage.average",
#     "mem.vmmemctl.average",
#     "net.bytesRx.average",
#     "net.bytesTx.average",
#     "net.droppedRx.summation",
#     "net.droppedTx.summation",
#     "net.usage.average",
#     "power.power.average",
#     "virtualDisk.numberReadAveraged.average",
#     "virtualDisk.numberWriteAveraged.average",
#     "virtualDisk.read.average",
#     "virtualDisk.readOIO.latest",
#     "virtualDisk.throughput.usage.average",
#     "virtualDisk.totalReadLatency.average",
#     "virtualDisk.totalWriteLatency.average",
#     "virtualDisk.write.average",
#     "virtualDisk.writeOIO.latest",
#     "sys.uptime.latest",
#   ]
#   # vm_metric_exclude = [] ## Nothing is excluded by default
#   # vm_instances = true ## true by default
#
#   ## Hosts
#   ## Typical host metrics (if omitted or empty, all metrics are collected)
#   # host_include = [ "/*/host/**"] # Inventory path to hosts to collect (by default all are collected)
#   # host_exclude [] # Inventory paths to exclude
#   host_metric_include = [
#     "cpu.coreUtilization.average",
#     "cpu.costop.summation",
#     "cpu.demand.average",
#     "cpu.idle.summation",
#     "cpu.latency.average",
#     "cpu.readiness.average",
#     "cpu.ready.summation",
#     "cpu.swapwait.summation",
#     "cpu.usage.average",
#     "cpu.usagemhz.average",
#     "cpu.used.summation",
#     "cpu.utilization.average",
#     "cpu.wait.summation",
#     "disk.deviceReadLatency.average",
#     "disk.deviceWriteLatency.average",
#     "disk.kernelReadLatency.average",
#     "disk.kernelWriteLatency.average",
#     "disk.numberReadAveraged.average",
#     "disk.numberWriteAveraged.average",
#     "disk.read.average",
#     "disk.totalReadLatency.average",
#     "disk.totalWriteLatency.average",
#     "disk.write.average",
#     "mem.active.average",
#     "mem.latency.average",
#     "mem.state.latest",
#     "mem.swapin.average",
#     "mem.swapinRate.average",
#     "mem.swapout.average",
#     "mem.swapoutRate.average",
#     "mem.totalCapacity.average",
#     "mem.usage.average",
#     "mem.vmmemctl.average",
#     "net.bytesRx.average",
#     "net.bytesTx.average",
#     "net.droppedRx.summation",
#     "net.droppedTx.summation",
#     "net.errorsRx.summation",
#     "net.errorsTx.summation",
#     "net.usage.average",
#     "power.power.average",
#     "storageAdapter.numberReadAveraged.average",
#     "storageAdapter.numberWriteAveraged.average",
#     "storageAdapter.read.average",
#     "storageAdapter.write.average",
#     "sys.uptime.latest",
#   ]
#     ## Collect IP addresses? Valid values are "ipv4" and "ipv6"
#   # ip_addresses = ["ipv6", "ipv4" ]
#
#   # host_metric_exclude = [] ## Nothing excluded by default
#   # host_instances = true ## true by default
#
#
#   ## Clusters
#   # cluster_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
#   # cluster_exclude = [] # Inventory paths to exclude
#   # cluster_metric_include = [] ## if omitted or empty, all metrics are collected
#   # cluster_metric_exclude = [] ## Nothing excluded by default
#   # cluster_instances = false ## false by default
#
#   ## Datastores
#   # datastore_include = [ "/*/datastore/**"] # Inventory path to datastores to collect (by default all are collected)
#   # datastore_exclude = [] # Inventory paths to exclude
#   # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
#   # datastore_metric_exclude = [] ## Nothing excluded by default
#   # datastore_instances = false ## false by default
#
#   ## Datacenters
#   # datacenter_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
#   # datacenter_exclude = [] # Inventory paths to exclude
#   datacenter_metric_include = [] ## if omitted or empty, all metrics are collected
#   datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default.
#   # datacenter_instances = false ## false by default
#
#   ## Plugin Settings
#   ## separator character to use for measurement and field names (default: "_")
#   # separator = "_"
#
#   ## number of objects to retrieve per query for realtime resources (vms and hosts)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_objects = 256
#
#   ## number of metrics to retrieve per query for non-realtime resources (clusters and datastores)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_metrics = 256
#
#   ## number of go routines to use for collection and discovery of objects and metrics
#   # collect_concurrency = 1
#   # discover_concurrency = 1
#
#   ## the interval before (re)discovering objects subject to metrics collection (default: 300s)
#   # object_discovery_interval = "300s"
#
#   ## timeout applies to any of the api request made to vcenter
#   # timeout = "60s"
#
#   ## When set to true, all samples are sent as integers. This makes the output
#   ## data types backwards compatible with Telegraf 1.9 or lower. Normally all
#   ## samples from vCenter, with the exception of percentages, are integer
#   ## values, but under some conditions, some averaging takes place internally in
#   ## the plugin. Setting this flag to "false" will send values as floats to
#   ## preserve the full precision when averaging takes place.
#   # use_int_samples = true
#
#   ## Custom attributes from vCenter can be very useful for queries in order to slice the
#   ## metrics along different dimension and for forming ad-hoc relationships. They are disabled
#   ## by default, since they can add a considerable amount of tags to the resulting metrics. To
#   ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
#   ## to select the attributes you want to include.
#   ## By default, since they can add a considerable amount of tags to the resulting metrics. To
#   ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
#   ## to select the attributes you want to include.
#   # custom_attribute_include = []
#   # custom_attribute_exclude = ["*"]
#
#   ## The number of vSphere 5 minute metric collection cycles to look back for non-realtime metrics. In
#   ## some versions (6.7, 7.0 and possible more), certain metrics, such as cluster metrics, may be reported
#   ## with a significant delay (>30min). If this happens, try increasing this number. Please note that increasing
#   ## it too much may cause performance issues.
#   # metric_lookback = 3
#
#   ## Optional SSL Config
#   # ssl_ca = "/path/to/cafile"
#   # ssl_cert = "/path/to/certfile"
#   # ssl_key = "/path/to/keyfile"
#   ## Use SSL but skip chain & host verification
#   # insecure_skip_verify = false
#
#   ## The Historical Interval value must match EXACTLY the interval in the daily
#   # "Interval Duration" found on the VCenter server under Configure > General > Statistics > Statistic intervals
#   # historical_interval = "5m"


# # A Webhooks Event collector
# [[inputs.webhooks]]
#   ## Address and port to host Webhook listener on
#   service_address = ":1619"
#
#   [inputs.webhooks.filestack]
#     path = "/filestack"
#
#   [inputs.webhooks.github]
#     path = "/github"
#     # secret = ""
#
#   [inputs.webhooks.mandrill]
#     path = "/mandrill"
#
#   [inputs.webhooks.rollbar]
#     path = "/rollbar"
#
#   [inputs.webhooks.papertrail]
#     path = "/papertrail"
#
#   [inputs.webhooks.particle]
#     path = "/particle"


# # This plugin implements the Zipkin http server to gather trace and timing data needed to troubleshoot latency problems in microservice architectures.
# [[inputs.zipkin]]
#   # path = "/api/v1/spans" # URL path for span data
#   # port = 9411            # Port on which Telegraf listens

Reference: https://dotblogs.com.tw/yc421206/2020/03/12/how_to_install_config_influxdb

https://dotblogs.com.tw/yc421206/2020/03/12/how_to_install_config_grafana

https://dotblogs.com.tw/yc421206/2020/03/12/via_Influxdb_telegraf_grafana_monitor_windows_platform_resources

https://programmer.group/telegraf-and-grafana-monitor-sql-server-on-multiple-platforms.html

https://jasper-zhang1.gitbooks.io/influxdb/content/

Currently unrated
 or 

Subscribe

* indicates required

Recent Posts

Archive

2022
2021

Categories

Apache 1

Data Science 2

Dbfit 1

Design Pattern 1

Devops 4

DigitalOcean 1

Django 1

English 3

Excel 5

Flask 3

Git 1

HackMD 1

Heroku 1

Html/Css 1

Linux 4

Machine Learning 2

Manufacture 1

Mezzanine 18

Oracle 1

Postgresql 7

PowerBI 4

Powershell 4

Python 21

SEO 2

SQL Server 52

SQLite 1

Windows 1

database 8

work-experience 1

其他 1

自我成長 1

資料工程 1

Tags

SEO(1) Github(2) Title Tag(2) ML(1) 李宏毅(1) SQL Server(18) Tempdb(1) SSMS(1) Windows(1) 自我成長(2) Excel(1) python Flask(1) python(5) Flask(2)

Authors

bart30508 (147)

Feeds

RSS / Atom

Grafana + Telegraf + InfluxDB 監控 SQL Server - SQL Server

© COPYRIGHT 2011-2022. Max的文藝復興. ALL RIGHT RESERVED.