Configuration options

Telegraf uses a configuration file to define what plugins to enable and what settings to use when Telegraf starts. Each Telegraf plugin has its own set of configuration options. Telegraf also provides global options for configuring specific Telegraf settings.

[!Note] See Get started to quickly get up and running with Telegraf.

Generate a configuration file

The telegraf config command lets you generate a configuration file using Telegraf's list of plugins.

Create a configuration with default input and output plugins
Create a configuration with specific input and output plugins
Windows PowerShell v5 encoding

Create a configuration with default input and output plugins

To generate a configuration file with default input and output plugins enabled, enter the following command in your terminal:

{{< code-tabs-wrapper >}} {{% code-tabs %}} Linux and macOS Windows {{% /code-tabs %}} {{% code-tab-content %}}

bash

telegraf config > telegraf.conf

powershell

.\telegraf.exe config > telegraf.conf

The generated file contains settings for all available plugins--some are enabled and the rest are commented out.

Create a configuration file with specific input and output plugins

To generate a configuration file that contains settings for only specific plugins, use the --input-filter and --output-filter options to specify input plugins and output plugins. Use a colon (:) to separate plugin names.

Syntax

{{< code-tabs-wrapper >}} {{% code-tabs %}} Linux and macOS Windows {{% /code-tabs %}} {{% code-tab-content %}}

bash

telegraf \
--input-filter <INPUT_PLUGIN_NAME>[:<INPUT_PLUGIN_NAME>] \
--output-filter <OUTPUT_PLUGIN_NAME>[:<OUTPUT_PLUGIN_NAME>] \
config > telegraf.conf

powershell

.\telegraf.exe `
--input-filter <INPUT_PLUGIN_NAME>[:<INPUT_PLUGIN_NAME>] `
--output-filter <OUTPUT_PLUGIN_NAME>[:<OUTPUT_PLUGIN_NAME>] `
config > telegraf.conf

Example

The following example shows how to include configuration sections for the inputs.cpu, inputs.http_listener_v2, outputs.influxdb_v2, and outputs.file plugins:

{{< code-tabs-wrapper >}} {{% code-tabs %}} Linux and macOS Windows {{% /code-tabs %}} {{% code-tab-content %}}

bash

telegraf \
--input-filter cpu:http_listener_v2 \
--output-filter influxdb_v2:file \
config > telegraf.conf

powershell

.\telegraf.exe `
--input-filter cpu:http_listener_v2 `
--output-filter influxdb_v2:file `
config > telegraf.conf

For more advanced configuration details, see the configuration documentation.

Windows PowerShell v5 encoding

In PowerShell 5, the default encoding is UTF-16LE and not UTF-8. Telegraf expects a valid UTF-8 file. This is not an issue with PowerShell 6 or newer, as well as the Command Prompt or with using the Git Bash shell.

When using PowerShell 5 or earlier, specify the output encoding when generating a full configuration file:

powershell

telegraf.exe config | Out-File -Encoding utf8 telegraf.conf

This will generate a UTF-8 encoded file with a byte-order mark (BOM). However, Telegraf correctly handles the leading BOM.

Configuration file locations

When starting Telegraf, use the --config flag to specify the configuration file location:

Filename and path, for example: --config /etc/default/telegraf
Remote URL endpoint, for example: --config "http://remote-URL-endpoint"

Use the --config-directory flag to include files ending with .conf in the specified directory in the Telegraf configuration.

On most systems, the default locations are /etc/telegraf/telegraf.conf for the main configuration file and /etc/telegraf/telegraf.d (on Windows, C:\"Program Files"\Telegraf\telegraf.d) for the directory of configuration files.

Telegraf processes each configuration file separately, and the effective configuration is the union of all the files. If any file isn't a valid configuration, Telegraf returns an error.

[!Warning]

Telegraf doesn't support partial configurations

Telegraf doesn't concatenate configuration files before processing them. Each configuration file that you provide must be a valid configuration.

If you want to use separate files to manage a configuration, you can use your own custom code to concatenate and pre-process the files, and then provide the complete configuration to Telegraf--for example:
Configure plugin sections and assign partial configs a file extension different from .conf to prevent Telegraf loading them--for example:
toml
# main.opcua: Main configuration file 
...
[[inputs.opcua_listener]]
  name = "PluginSection"
  endpoint = "opc.tcp://10.0.0.53:4840"
...
toml
# group_1.opcua
  [[inputs.opcua_listener.group]]
  name = "SubSection1"
...
toml
# group_2.opcua
  [[inputs.opcua_listener.group]]
  name = "SubSection2"
... 
Before you start Telegraf, run your custom script to concatenate main.opcua, group_1.opcua, group_2.opcua into a valid telegraf.conf.

Start Telegraf with the complete, valid telegraf.conf configuration.

Set environment variables

Use environment variables anywhere in the configuration file by enclosing them in ${}. For strings, variables must be in quotes (for example, "test_${STR_VAR}"). For numbers and booleans, variables must be unquoted (for example, ${INT_VAR}, ${BOOL_VAR}).

When using double quotes, escape any backslashes (for example: "C:\\Program Files") or other special characters. If using an environment variable with a single backslash, enclose the variable in single quotes to signify a string literal (for example: 'C:\Program Files').

Telegraf also supports Shell parameter expansion for environment variables which allows the following:

${VARIABLE:-default}: evaluates to default if VARIABLE is unset or empty in the environment.
${VARIABLE-default}: evaluates to default only if VARIABLE is unset in the environment. Similarly, the following syntax allows you to specify mandatory variables:
${VARIABLE:?err}: exits with an error message containing err if VARIABLE is unset or empty in the environment.
${VARIABLE?err}: exits with an error message containing err if VARIABLE is unset in the environment.

When using the .deb or .rpm packages, you can define environment variables in the /etc/default/telegraf file.

You can also set environment variables using the Linux export command:

bash

export password=mypassword

Note: Use a secret store or environment variables to store sensitive credentials.

Example: Telegraf environment variables

Set environment variables in the Telegraf environment variables file (/etc/default/telegraf).

For InfluxDB 1.x:

USER="alice"
INFLUX_URL="http://localhost:8086"
INFLUX_SKIP_DATABASE_CREATION="true"
INFLUX_PASSWORD="passw0rd123"

For InfluxDB OSS v2:

INFLUX_HOST="http://localhost:8086"
INFLUX_TOKEN="replace_with_your_token"
INFLUX_ORG="your_username"
INFLUX_BUCKET="replace_with_your_bucket_name"

For InfluxDB Cloud Serverless:

# For AWS West (Oregon)
INFLUX_HOST="https://us-west-2-1.aws.cloud2.influxdata.com"
# Other Cloud URLs at https://docs.influxdata.com/influxdb/cloud/reference/regions/
INFLUX_TOKEN="replace_with_your_token"
INFLUX_ORG="[email protected]"
INFLUX_BUCKET="replace_with_your_bucket_name"

In the Telegraf configuration file (/etc/telegraf.conf), reference the variables--for example:

toml

[global_tags]
  user = "${USER}"

[[inputs.mem]]

# For InfluxDB 1.x:
[[outputs.influxdb]]
  urls = ["${INFLUX_URL}"]
  skip_database_creation = ${INFLUX_SKIP_DATABASE_CREATION}
  password = "${INFLUX_PASSWORD}"

# For InfluxDB OSS 2:
[[outputs.influxdb_v2]]
  urls = ["${INFLUX_HOST}"]
  token = "${INFLUX_TOKEN}"
  organization = "${INFLUX_ORG}"
  bucket = "${INFLUX_BUCKET}"

# For InfluxDB Cloud:
[[outputs.influxdb_v2]]
  urls = ["${INFLUX_HOST}"]
  token = "${INFLUX_TOKEN}"
  organization = "${INFLUX_ORG}"
  bucket = "${INFLUX_BUCKET}"

When Telegraf runs, the effective configuration is the following:

toml

[global_tags]
  user = "alice"

# For InfluxDB 1.x:
[[outputs.influxdb]]
  urls = ["http://localhost:8086"]
  skip_database_creation = true
  password = "passw0rd123"

# For InfluxDB OSS 2:
[[outputs.influxdb_v2]]
  urls = ["http://localhost:8086"]
  token = "replace_with_your_token"
  organization = "your_username"
  bucket = "replace_with_your_bucket_name"

# For InfluxDB Cloud:
[[outputs.influxdb_v2]]
  urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
  token = "replace_with_your_token"
  organization = "[email protected]"
  bucket = "replace_with_your_bucket_name"

Secret stores

Telegraf also supports secret stores for providing credentials or similar. Configure one or more secret store plugins and then reference the secret in your plugin configurations.

Reference secrets using the following syntax:

txt

@{<secret_store_id>:<secret_name>}

secret_store_id: the unique ID you define for your secret store plugin.
secret_name: the name of the secret to use.

[!Note] Both and secret_store_id and secret_name only support alphanumeric characters and underscores.

Example: Use secret stores

This example illustrates the use of secret stores in plugins:

toml

[global_tags]
  user = "alice"

[[secretstores.os]]
  id = "local_secrets"

[[secretstores.jose]]
  id = "cloud_secrets"
  path = "/etc/telegraf/secrets"
  # Optional reference to another secret store to unlock this one.
  password = "@{local_secrets:cloud_store_passwd}"

[[inputs.http]]
  urls = ["http://server.company.org/metrics"]
  username = "@{local_secrets:company_server_http_metric_user}"
  password = "@{local_secrets:company_server_http_metric_pass}"

[[outputs.influxdb_v2]]
  urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
  token = "@{cloud_secrets:influxdb_token}"
  organization = "[email protected]"
  bucket = "replace_with_your_bucket_name"

Notes on secret stores

Not all plugins support secrets. When using plugins that support secrets, Telegraf locks the memory pages containing the secrets. Therefore, the locked memory limit has to be set to a suitable value. Telegraf will check the limit and the number of used secrets at startup and will warn if your limit is too low. In this case, please increase the limit via ulimit -l.

If you are running Telegraf in a jail you might need to allow locked pages in that jail by setting allow.mlock = 1; in your config.

Global tags

Global tags can be specified in the [global_tags] section of the configuration file in key="value" format. Telegraf applies the global tags to all metrics gathered on this host.

Agent configuration

The [agent] section contains the following configuration options:

interval: Default data collection interval for all inputs.
round_interval: Rounds collection interval to interval. For example, if interval is set to 10s, then the agent collects on :00, :10, :20, etc.
metric_batch_size: Telegraf sends 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_buffer_limit: 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. The oldest metrics are overwritten in favor of new ones when the buffer fills up.
collection_jitter: Jitter the collection by a random interval. Each plugin sleeps for a random time within the defined jitter before collecting. Use this to avoid many plugins querying things like sysfs at the same time, which can have a measurable effect on the system.
collection_offset: Shift the collection by the given interval. Use this to avoid many plugins querying constraint devices at the same time by manually scheduling them in time.
flush_interval: Default flushing interval for all outputs. Maximum flush_interval is flush_interval + flush_jitter.
flush_jitter: Default flush jitter for all outputs. This jitters the flush interval by a random amount. This is primarily to avoid large write spikes for users running a large number of Telegraf instances. For example, a jitter of 5s and an interval of 10s means flushes happen every 10-15 seconds.
precision: Round collected metrics to the precision specified as an interval. Precision is not used for service inputs. It is up to each individual service input to set the timestamp at the appropriate precision.
debug: Log at debug level.
quiet: Log only error level messages.
logformat: Log format controls the way messages are logged and can be one of text, structured or, on Windows, eventlog. The output file (if any) is determined by the logfile setting.
structured_log_message_key: Message key for structured logs, to override the default of msg. Ignored if logformat is not structured.
logfile: Name of the file to be logged to or stderr if unset or empty. This setting is ignored for the eventlog format.
logfile_rotation_interval: The logfile rotates after the time interval specified. When set to 0 no time based rotation is performed.
logfile_rotation_max_size: The logfile rotates when it becomes larger than the specified size. When set to 0 no size based rotation is performed.
logfile_rotation_max_archives: Maximum number of rotated archives to keep, any older logs are deleted. If set to -1, no archives are removed.
log_with_timezone: Pick a timezone to use when logging or type 'local' for local time. Example: 'America/Chicago'. See this page for options/formats.
hostname: Override the default hostname, if empty use os.Hostname().
omit_hostname: If set to true, do no set the "host" tag in the Telegraf agent.
snmp_translator: Method of translating SNMP objects. Can be "netsnmp" (deprecated) which translates by calling external programs snmptranslate and snmptable, or "gosmi" which translates using the built-in gosmi library.
statefile: Name of the file to load the states of plugins from and store the states to. If uncommented and not empty, this file is used to save the state of stateful plugins on termination of Telegraf. If the file exists on start, the state in the file is restored for the plugins.
always_include_local_tags: Ensure tags explicitly defined in a plugin always pass tag-filtering via taginclude or tagexclude. This removes the need to specify local tags twice.
always_include_global_tags: Ensure tags explicitly defined in the global_tags section will always pass tag-filtering via taginclude or tagexclude. This removes the need to specify those tags twice.
skip_processors_after_aggregators: By default, processors are run a second time after aggregators. Changing this setting to true will skip the second run of processors.
buffer_strategy: The type of buffer to use for Telegraf output plugins. Supported modes are memory, the default and original buffer type, and disk, an experimental disk-backed buffer which serializes all metrics to disk as needed to improve data durability and reduce the chance for data loss. This is only supported at the agent level.
buffer_directory: The directory to use when in disk buffer mode. Each output plugin makes another subdirectory in this directory with the output plugin's ID.

Input configuration

The following config parameters are available for all inputs:

alias: Name an instance of a plugin.
interval: How often to gather this metric. Normal plugins use a single global interval, but if one particular input should be run less or more often, you can configure that here. interval can be increased to reduce data-in rate limits.
precision: Overrides the precision setting of the agent. Collected metrics are rounded to the precision specified as an interval. When this value is set on a service input (ex: statsd), multiple events occurring at the same timestamp may be merged by the output database.
collection_jitter: Overrides the collection_jitter setting of the agent.
Collection jitter is used to jitter the collection by a random interval
name_override: Override the base name of the measurement. (Default is the name of the input).
name_prefix: Specifies a prefix to attach to the measurement name.
name_suffix: Specifies a suffix to attach to the measurement name.
tags: A map of tags to apply to a specific input's measurements.

Output configuration

alias: Name an instance of a plugin.
flush_interval: Maximum time between flushes. Use this setting to override the agent flush_interval on a per plugin basis.
flush_jitter: Amount of time to jitter the flush interval. Use this setting to override the agent flush_jitter on a per plugin basis.
metric_batch_size: Maximum number of metrics to send at once. Use this setting to override the agent metric_batch_size on a per plugin basis.
metric_buffer_limit: Maximum number of unsent metrics to buffer. Use this setting to override the agent metric_buffer_limit on a per plugin basis.
name_override: Override the base name of the measurement. (Default is the name of the output).
name_prefix: Specifies a prefix to attach to the measurement name.
name_suffix: Specifies a suffix to attach to the measurement name.

Data formats

Some output plugins support the data_format option, which specifies a serializer to convert metrics before writing. Common serializers include json, influx, prometheus, and csv.

Output plugins that support serializers may also offer use_batch_format, which controls whether the serializer receives metrics individually or as a batch. Batch mode enables more efficient encoding for formats like JSON arrays.

toml

[[outputs.file]]
  files = ["stdout"]
  data_format = "json"
  use_batch_format = true

For available serializers and configuration options, see output data formats.

Aggregator configuration

The following config parameters are available for all aggregators:

alias: Name an instance of a plugin.
period: The period on which to flush & clear each aggregator. All metrics that are sent with timestamps outside of this period are ignored by the aggregator.
delay: The delay before each aggregator is flushed. This is to control how long for aggregators to wait before receiving metrics from input plugins, in the case that aggregators are flushing and inputs are gathering on the same interval.
grace: The duration the metrics are aggregated by the plugin even though they're outside the aggregation period. This setting is needed when the agent is expected to receive late metrics and can be rolled into the next aggregation period.
drop_original: If true, the original metric is dropped by the aggregator and not sent to the output plugins.
name_override: Override the base name of the measurement. (Default is the name of the input).
name_prefix: Specifies a prefix to attach to the measurement name.
name_suffix: Specifies a suffix to attach to the measurement name.
tags: A map of tags to apply to a specific input's measurements.

For a demonstration of how to configure SNMP, MQTT, and PostGRE SQL plugins to get data into Telegraf, see the following video:

Processor configuration

The following config parameters are available for all processors:

alias: Name an instance of a plugin.
order: This is the order in which processors are executed. If not specified, then order is random.

The metric filtering parameters can be used to limit what metrics are handled by the processor. Excluded metrics are passed downstream to the next processor.

Metric filtering

Filters can be configured per input, output, processor, or aggregator.

Filters
Filtering examples

Filters

Filters fall under two categories:

Selectors
Modifiers

Selectors

Selector filters include or exclude entire metrics. When a metric is excluded from an input or output plugin, the metric is dropped. If a metric is excluded from a processor or aggregator plugin, it skips the plugin and is sent onwards to the next stage of processing.

namepass: An array of glob pattern strings. Only metrics whose measurement name matches a pattern in this list are emitted. Additionally, custom list of separators can be specified using namepass_separator. These separators are excluded from wildcard glob pattern matching.
namedrop: The inverse of namepass. If a match is found the metric is discarded. This is tested on metrics after they have passed the namepass test. Additionally, custom list of separators can be specified using namedrop_separator. These separators are excluded from wildcard glob pattern matching.
tagpass: A table mapping tag keys to arrays of glob pattern strings. Only metrics that contain a tag key in the table and a tag value matching one of its patterns is emitted. This can either use the explicit table syntax (for example: a subsection using a [...] header) or inline table syntax (e.g like a JSON table with {...}). Please see the below notes on specifying the table.
tagdrop: The inverse of tagpass. If a match is found the metric is discarded. This is tested on metrics after they have passed the tagpass test.
metricpass: A Common Expression Language (CEL) expression with boolean result where true will allow the metric to pass, otherwise the metric is discarded. This filter expression is more general compared to namepass and also supports time-based filtering. Further details, such as available functions and expressions, are provided in the CEL language definition as well as in the extension documentation or the CEL language introduction.

[!Note] *As CEL is an interpreted language. This type of filtering is much slower than namepass, namedrop, and others. Consider using the more restrictive filter options where possible in case of high-throughput scenarios.

Modifiers

Modifier filters remove tags and fields from a metric. If all fields are removed, the metric is removed and as a result not passed through to the following processors or any output plugin. Tags and fields are modified before a metric is passed to a processor, aggregator, or output plugin. When used with an input plugin the filter applies after the input runs.

fieldinclude: An array of glob pattern strings. Only fields whose field key matches a pattern in this list are emitted.
fieldexclude: The inverse of fieldinclude. Fields with a field key matching one of the patterns will be discarded from the metric. This is tested on metrics after they have passed the fieldinclude test.
taginclude: An array of glob pattern strings. Only tags with a tag key matching one of the patterns are emitted. In contrast to tagpass, which will pass an entire metric based on its tag, taginclude removes all non matching tags from the metric. Any tag can be filtered including global tags and the agent host tag.
tagexclude: The inverse of taginclude. Tags with a tag key matching one of the patterns will be discarded from the metric. Any tag can be filtered including global tags and the agent host tag.

[!Note]

Include tagpass and tagdrop at the end of your plugin definition

Due to the way TOML is parsed, tagpass and tagdrop parameters must be defined at the end of the plugin definition, otherwise subsequent plugin configuration options are interpreted as part of the tagpass and tagdrop tables.

To learn more about metric filtering, watch the following video:

Filtering examples

Input configuration examples

The following example configuration collects per-cpu data, drops any fields that begin with time_, tags measurements with dc="denver-1", and then outputs measurements at a 10 second interval to an InfluxDB database named telegraf at the address 192.168.59.103:8086.

toml

[global_tags]
  dc = "denver-1"

[agent]
  interval = "10s"

# OUTPUTS
[[outputs.influxdb]]
  url = "http://192.168.59.103:8086" # required.
  database = "telegraf" # required.
  precision = "1s"

# INPUTS
[[inputs.cpu]]
  percpu = true
  totalcpu = false
  # filter all fields beginning with 'time_'
  fielddrop = ["time_*"]

Input Config: `tagpass` and `tagdrop`

NOTE tagpass and tagdrop parameters must be defined at the end of the plugin definition, otherwise subsequent plugin configuration options are interpreted as part of the tagpass and tagdrop tables.

toml

[[inputs.cpu]]
  percpu = true
  totalcpu = false
  fielddrop = ["cpu_time"]
  # Don't collect CPU data for cpu6 & cpu7
  [inputs.cpu.tagdrop]
    cpu = [ "cpu6", "cpu7" ]

[[inputs.disk]]
  [inputs.disk.tagpass]
    # tagpass conditions are OR, not AND.
    # If the (filesystem is ext4 or xfs) OR (the path is /opt or /home)
    # then the metric passes
    fstype = [ "ext4", "xfs" ]
    # Globs can also be used on the tag values
    path = [ "/opt", "/home*" ]

Input Config: `fieldpass` and `fielddrop`

toml

# Drop all metrics for guest & steal CPU usage
[[inputs.cpu]]
  percpu = false
  totalcpu = true
  fielddrop = ["usage_guest", "usage_steal"]

# Only store inode related metrics for disks
[[inputs.disk]]
  fieldpass = ["inodes*"]

Input Config: `namepass` and `namedrop`

toml

# Drop all metrics about containers for kubelet
[[inputs.prometheus]]
  urls = ["http://kube-node-1:4194/metrics"]
  namedrop = ["container_*"]

# Only store rest client related metrics for kubelet
[[inputs.prometheus]]
  urls = ["http://kube-node-1:4194/metrics"]
  namepass = ["rest_client_*"]

Input Config: `namepass` and `namedrop` with separators

toml

# Pass all metrics of type 'A.C.B' and drop all others like 'A.C.D.B'
[[inputs.socket_listener]]
  data_format = "graphite"
  templates = ["measurement*"]

  namepass = ["A.*.B"]
  namepass_separator = "."

# Drop all metrics of type 'A.C.B' and pass all others like 'A.C.D.B'
[[inputs.socket_listener]]
  data_format = "graphite"
  templates = ["measurement*"]

  namedrop = ["A.*.B"]
  namedrop_separator = "."

Input Config: `taginclude` and `tagexclude`

toml

# Only include the "cpu" tag in the measurements for the cpu plugin.
[[inputs.cpu]]
  percpu = true
  totalcpu = true
  taginclude = ["cpu"]

# Exclude the `fstype` tag from the measurements for the disk plugin.
[[inputs.disk]]
  tagexclude = ["fstype"]

Input config: `prefix`, `suffix`, and `override`

The following example emits measurements with the name cpu_total:

toml

[[inputs.cpu]]
  name_suffix = "_total"
  percpu = false
  totalcpu = true

The following example emits measurements with the name foobar:

toml

[[inputs.cpu]]
  name_override = "foobar"
  percpu = false
  totalcpu = true

Input config: tags

The following example emits measurements with two additional tags: tag1=foo and tag2=bar.

NOTE: Order matters; the [inputs.cpu.tags] table must be at the end of the plugin definition.

toml

[[inputs.cpu]]
  percpu = false
  totalcpu = true
  [inputs.cpu.tags]
    tag1 = "foo"
    tag2 = "bar"

Multiple inputs of the same type

Additional inputs (or outputs) of the same type can be specified by defining these instances in the configuration file. To avoid measurement collisions, use the name_override, name_prefix, or name_suffix configuration options:

toml

[[inputs.cpu]]
  percpu = false
  totalcpu = true

[[inputs.cpu]]
  percpu = true
  totalcpu = false
  name_override = "percpu_usage"
  fielddrop = ["cpu_time*"]

Output configuration examples:

toml

[[outputs.influxdb]]
  urls = [ "http://localhost:8086" ]
  database = "telegraf"
  precision = "1s"
  # Drop all measurements that start with "aerospike"
  namedrop = ["aerospike*"]

[[outputs.influxdb]]
  urls = [ "http://localhost:8086" ]
  database = "telegraf-aerospike-data"
  precision = "1s"
  # Only accept aerospike data:
  namepass = ["aerospike*"]

[[outputs.influxdb]]
  urls = [ "http://localhost:8086" ]
  database = "telegraf-cpu0-data"
  precision = "1s"
  # Only store measurements where the tag "cpu" matches the value "cpu0"
  [outputs.influxdb.tagpass]
    cpu = ["cpu0"]

Aggregator Configuration Examples:

This will collect and emit the min/max of the system load1 metric every 30s, dropping the originals.

toml

[[inputs.system]]
  fieldpass = ["load1"] # collects system load1 metric.

[[aggregators.minmax]]
  period = "30s"        # send & clear the aggregate every 30s.
  drop_original = true  # drop the original metrics.

[[outputs.file]]
  files = ["stdout"]

This will collect and emit the min/max of the swap metrics every 30s, dropping the originals. The aggregator will not be applied to the system load metrics due to the namepass parameter.

toml

[[inputs.swap]]

[[inputs.system]]
  fieldpass = ["load1"] # collects system load1 metric.

[[aggregators.minmax]]
  period = "30s"        # send & clear the aggregate every 30s.
  drop_original = true  # drop the original metrics.
  namepass = ["swap"]   # only "pass" swap metrics through the aggregator.

[[outputs.file]]
  files = ["stdout"]

To learn more about configuring the Telegraf agent, watch the following video:

Plugin selection via labels and selectors

You can control which plugin instances are enabled by adding labels to plugin configurations and passing one or more selectors on the command line.

Selectors

Provide selectors with one or more --select flags when starting Telegraf. Each --select value is a semicolon-separated list of key=value pairs:

text

<key>=<value>[;<key>=<value>]

Pairs in a single --select value are combined with logical AND (all must match).
Multiple --select flags are combined with logical OR (a plugin is enabled if it matches any selector set).

Selectors support simple glob patterns in values (for example region=us-*).

Example:

console

telegraf --config config.conf --config-directory directory/ \
  --select="app=payments;region=us-*" \
  --select="env=prod" \
  --watch-config --print-plugin-config-source=true

Labels

Add an optional labels table to a plugin, similar to tags. Keys and values are plain strings.

Example:

toml

[[inputs.cpu]]
  [inputs.cpu.labels]
    app = "payments"
    region = "us-east"
    env = "prod"

Telegraf matches the command-line selectors against a plugin's labels to decide whether that plugin instance should be enabled. For details on supported syntax and matching rules, see the labels selectors spec.

Transport Layer Security (TLS)

Many Telegraf plugins support TLS configuration for secure communication. Reference the detailed TLS documentation for configuration options and examples.

Generate a configuration file

Create a configuration with default input and output plugins

Create a configuration file with specific input and output plugins

Syntax

Example

Windows PowerShell v5 encoding

Configuration file locations

Telegraf doesn't support partial configurations

Set environment variables

Example: Telegraf environment variables

For InfluxDB 1.x:

For InfluxDB OSS v2:

For InfluxDB Cloud Serverless:

Secret stores

Example: Use secret stores

Notes on secret stores

Global tags

Agent configuration

Input configuration

Output configuration

Data formats

Aggregator configuration

Processor configuration

Metric filtering

Filters

Selectors

Modifiers

Include tagpass and tagdrop at the end of your plugin definition

Filtering examples

Input configuration examples

Input Config: tagpass and tagdrop

Input Config: fieldpass and fielddrop

Input Config: namepass and namedrop

Input Config: namepass and namedrop with separators

Input Config: taginclude and tagexclude

Input config: prefix, suffix, and override

Input config: tags

Multiple inputs of the same type

Output configuration examples:

Aggregator Configuration Examples:

Plugin selection via labels and selectors

Selectors

Labels

Transport Layer Security (TLS)

Input Config: `tagpass` and `tagdrop`

Input Config: `fieldpass` and `fielddrop`

Input Config: `namepass` and `namedrop`

Input Config: `namepass` and `namedrop` with separators

Input Config: `taginclude` and `tagexclude`

Input config: `prefix`, `suffix`, and `override`