This plugin writes metrics to the Azure Application Insights service.
⭐ Telegraf v1.7.0 🏷️ applications, cloud 💻 all
In addition to the plugin-specific configuration settings, plugins support additional global and plugin configuration settings. These settings are used to modify metrics, tags, and field or create aliases and configure ordering, etc. See the CONFIGURATION.md for more details.
# 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
## NOTE: Due to the way TOML is parsed, tables must be at the END of the
## plugin definition, otherwise additional config options are read as part of
## the table
## 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"
For each field an Application Insights Telemetry record is created named based on the measurement name and field.
Example: Create the telemetry records foo_first
and foo_second
:
foo,host=a first=42,second=43 1525293034000000000
In the special case of a single field named value
, a single telemetry record
is created named using only the measurement name
Example: Create a telemetry record bar
:
bar,host=a value=42 1525293034000000000