ApplicationInsights-Python/azure-monitor-opentelemetry

Azure Monitor Opentelemetry Distro

The Azure Monitor Distro of Opentelemetry Python provides multiple installable components available for an Opentelemetry Azure Monitor monitoring solution. It allows you to instrument your Python applications to capture and report telemetry to Azure Monitor via the Azure monitor exporters.

This distro automatically installs the following libraries:

• Azure Monitor OpenTelemetry exporters
• A subset of OpenTelemetry instrumentations that are officially supported as listed below.

Officially supported instrumentations

OpenTelemetry instrumentations allow automatic collection of requests sent from underlying instrumented libraries. The following is a list of OpenTelemetry instrumentations that come bundled in with the Azure monitor distro. If you would like to add support for another OpenTelemetry instrumentation, please submit a feature request. In the meantime, you can use the OpenTelemetry instrumentation manually via it's own APIs (i.e. instrument()) in your code. See this for an example.

Instrumentation	Supported library	Supported versions
OpenTelemetry Django Instrumentation	django	link
OpenTelemetry FastApi Instrumentation	fastapi	link
OpenTelemetry Flask Instrumentation	flask	link
OpenTelemetry Psycopg2 Instrumentation	psycopg2	link
OpenTelemetry Requests Instrumentation	requests	link
OpenTelemetry UrlLib Instrumentation	urllib	All
OpenTelemetry UrlLib3 Instrumentation	urllib3	link

Azure Core Distributed Tracing

Using the Azure Core Tracing OpenTelemetry library, you can automatically capture the distributed tracing from Azure Core libraries. See the associated sample for more information. This feature is enabled automatically.

Getting started

Key Concepts

This package bundles a series of OpenTelemetry and Azure Monitor components to enable the collection and sending of telemetry to Azure Monitor. For MANUAL instrumentation, use the configure_azure_monitor function. AUTOMATIC instrumentation is not yet supported.

The Azure Monitor OpenTelemetry exporters are the main components in accomplishing this. You will be able to use the exporters and their APIs directly through this package. Please go the exporter documentation to understand how OpenTelemetry and Azure Monitor components work in enabling telemetry collection and exporting.

Currently, all instrumentations available in OpenTelemetry are in a beta state, meaning they are not stable and may have breaking changes in the future. Efforts are being made in pushing these to a more stable state.

Prerequisites

To use this package, you must have:

• Azure subscription - Create a free account
• Azure Monitor - How to use application insights
• Opentelemetry SDK - Opentelemetry SDK for Python
• Python 3.7 or later - Install Python

Install the package

Install the Azure Monitor Opentelemetry Distro with pip:

pip install azure-monitor-opentelemetry --pre

Usage

You can use configure_azure_monitor to set up instrumentation for your app to Azure Monitor. configure_azure_monitor supports the following optional arguments:

Parameter	Description	Environment Variable
connection_string	The connection string for your Application Insights resource. The connection string will be automatically populated from the APPLICATIONINSIGHTS_CONNECTION_STRING environment variable if not explicitly passed in.	APPLICATIONINSIGHTS_CONNECTION_STRING

You can configure further with OpenTelemetry environment variables such as:

Environment Variable	Description
OTEL_SERVICE_NAME, OTEL_RESOURCE_ATTRIBUTES	Specifies the OpenTelemetry resource associated with your application.
OTEL_LOGS_EXPORTER	If set to None, disables collection and export of logging telemetry.
OTEL_METRICS_EXPORTER	If set to None, disables collection and export of metric telemetry.
OTEL_TRACES_EXPORTER	If set to None, disables collection and export of distributed tracing telemetry.
OTEL_BLRP_SCHEDULE_DELAY	Specifies the logging export interval in milliseconds. Defaults to 5000.
OTEL_BSP_SCHEDULE_DELAY	Specifies the distributed tracing export interval in milliseconds. Defaults to 5000.
OTEL_TRACES_SAMPLER_ARG	Specifies the ratio of distributed tracing telemetry to be sampled. Accepted values are in the range [0,1]. Defaults to 1.0, meaning no telemetry is sampled out.
OTEL_PYTHON_DISABLED_INSTRUMENTATIONS	Specifies which of the supported instrumentations to disable. Disabled instrumentations will not be instrumented as part of configure_azure_monitor. However, they can still be manually instrumented by users after the fact. Accepts a comma-separated list of lowercase entry point names for instrumentations. For example, set to "psycopg2,fastapi" to disable the Psycopg2 and FastAPI instrumentations. Defaults to an empty list, enabling all supported instrumentations.

Azure monitor OpenTelemetry Exporter configurations

You can pass Azure monitor OpenTelemetry exporter configuration parameters directly into configure_azure_monitor. See additional configuration related to exporting here.

...
configure_azure_monitor(
   connection_string="<your-connection-string>",
   disable_offline_storage=True, 
)
...

Samples

Samples are available here to demonstrate how to utilize the above configuration options.

Additional documentation

• Azure Portal
• Official Azure monitor docs
• OpenTelemetry Python Official Docs