azure_monitor

README

Azure Monitor Output Plugin

The Azure Monitor custom metrics service is currently in preview and not available in a subset of Azure regions.

This plugin will send custom metrics to Azure Monitor. Azure Monitor has a metric resolution of one minute. To handle this in Telegraf, the Azure Monitor output plugin will automatically aggregates metrics into one minute buckets, which are then sent to Azure Monitor on every flush interval.

The metrics from each input plugin will be written to a separate Azure Monitor namespace, prefixed with Telegraf/ by default. The field name for each metric is written as the Azure Monitor metric name. All field values are written as a summarized set that includes: min, max, sum, count. Tags are written as a dimension on each Azure Monitor metric.

Global configuration options

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.

Configuration

# 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 the appropriate REST endpoint for receiving
  ## metrics. (Note: region may be unused in this context)
  # endpoint_url = "https://monitoring.core.usgovcloudapi.net"

Setup

1. Register the microsoft.insights resource provider in your Azure subscription.
2. If using Managed Service Identities to authenticate an Azure VM, enable system-assigned managed identity.
3. Use a region that supports Azure Monitor Custom Metrics, For regions with Custom Metrics support, an endpoint will be available with the format https://<region>.monitoring.azure.com.

Region and Resource ID

The plugin will attempt to discover the region and resource ID using the Azure VM Instance Metadata service. If Telegraf is not running on a virtual machine or the VM Instance Metadata service is not available, the following variables are required for the output to function.

• region
• resource_id

Authentication

This plugin uses one of several different types of authenticate methods. The preferred authentication methods are different from the order in which each authentication is checked. Here are the preferred authentication methods:

1. Managed Service Identity (MSI) token: This is the preferred authentication method. Telegraf will automatically authenticate using this method when running on Azure VMs.

2. AAD Application Tokens (Service Principals)

   • Primarily useful if Telegraf is writing metrics for other resources. More information.
   • A Service Principal or User Principal needs to be assigned the Monitoring Metrics Publisher role on the resource(s) metrics will be emitted against.

3. AAD User Tokens (User Principals)

   • Allows Telegraf to authenticate like a user. It is best to use this method for development.

The plugin will authenticate using the first available of the following configurations:

1. Client Credentials: Azure AD Application ID and Secret. Set the following environment variables:

   • AZURE_TENANT_ID: Specifies the Tenant to which to authenticate.
   • AZURE_CLIENT_ID: Specifies the app client ID to use.
   • AZURE_CLIENT_SECRET: Specifies the app secret to use.

2. Client Certificate: Azure AD Application ID and X.509 Certificate.

   • AZURE_TENANT_ID: Specifies the Tenant to which to authenticate.
   • AZURE_CLIENT_ID: Specifies the app client ID to use.
   • AZURE_CERTIFICATE_PATH: Specifies the certificate Path to use.
   • AZURE_CERTIFICATE_PASSWORD: Specifies the certificate password to use.

3. Resource Owner Password: Azure AD User and Password. This grant type is not recommended, use device login instead if you need interactive login.

   • AZURE_TENANT_ID: Specifies the Tenant to which to authenticate.
   • AZURE_CLIENT_ID: Specifies the app client ID to use.
   • AZURE_USERNAME: Specifies the username to use.
   • AZURE_PASSWORD: Specifies the password to use.

4. Azure Managed Service Identity: Delegate credential management to the platform. Requires that code is running in Azure, e.g. on a VM. All configuration is handled by Azure. See Azure Managed Service Identity for more details. Only available when using the Azure Resource Manager.

**Note: As shown above, the last option (#4) is the preferred way to authenticate when running Telegraf on Azure VMs.

Dimensions

Azure Monitor only accepts values with a numeric type. The plugin will drop fields with a string type by default. The plugin can set all string type fields as extra dimensions in the Azure Monitor custom metric by setting the configuration option strings_as_dimensions to true.

Keep in mind, Azure Monitor allows a maximum of 10 dimensions per metric. The plugin will deterministically dropped any dimensions that exceed the 10 dimension limit.

To convert only a subset of string-typed fields as dimensions, enable strings_as_dimensions and use the fieldpass or fielddrop processors to limit the string-typed fields that are sent to the plugin.

Documentation

Index

• type AzureMonitor
  • func (a *AzureMonitor) Add(m telegraf.Metric)
  • func (a *AzureMonitor) Close() error
  • func (a *AzureMonitor) Connect() error
  • func (a *AzureMonitor) Push() []telegraf.Metric
  • func (a *AzureMonitor) Reset()
  • func (*AzureMonitor) SampleConfig() string
  • func (a *AzureMonitor) Write(metrics []telegraf.Metric) error

Types

type AzureMonitor

type AzureMonitor struct {
	Timeout             config.Duration
	NamespacePrefix     string          `toml:"namespace_prefix"`
	StringsAsDimensions bool            `toml:"strings_as_dimensions"`
	Region              string          `toml:"region"`
	ResourceID          string          `toml:"resource_id"`
	EndpointURL         string          `toml:"endpoint_url"`
	Log                 telegraf.Logger `toml:"-"`

	MetricOutsideWindow selfstat.Stat
	// contains filtered or unexported fields
}

AzureMonitor allows publishing of metrics to the Azure Monitor custom metrics service

func (*AzureMonitor) Add

func (a *AzureMonitor) Add(m telegraf.Metric)

Add will append a metric to the output aggregate

func (*AzureMonitor) Close

func (a *AzureMonitor) Close() error

Close shuts down an any active connections

func (*AzureMonitor) Connect

func (a *AzureMonitor) Connect() error

Connect initializes the plugin and validates connectivity

func (*AzureMonitor) Push

func (a *AzureMonitor) Push() []telegraf.Metric

Push sends metrics to the output metric buffer

func (*AzureMonitor) Reset

func (a *AzureMonitor) Reset()

Reset clears the cache of aggregate metrics

func (*AzureMonitor) SampleConfig

func (*AzureMonitor) SampleConfig() string

func (*AzureMonitor) Write

func (a *AzureMonitor) Write(metrics []telegraf.Metric) error

Write writes metrics to the remote endpoint