Elastic Distribution of OpenTelemetry Python
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes. The Elastic Distribution of OpenTelemetry (EDOT) Python SDK collects performance metrics, traces, and logs in OpenTelemetry format, and sends them to Elastic Observability. Availability This functionality is generally available and ready for production usage. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless Observability
Generally available
Stack
Generally available
EDOT Python
Generally available
The Elastic Distribution of OpenTelemetry (EDOT) Python is a customized version of OpenTelemetry Python, configured for the best experience with Elastic Observability.
Use EDOT Python to start the OpenTelemetry SDK with your Python application, and automatically capture tracing data, performance metrics, and logs. Traces, metrics, and logs can be sent to any OpenTelemetry Protocol (OTLP) Collector you choose.
A goal of this distribution is to avoid introducing proprietary concepts in addition to those defined by the wider OpenTelemetry community. For any additional features introduced, Elastic aims at contributing them back to the OpenTelemetry project.
In addition to all the features of the OpenTelemetry Python agent, with EDOT Python you have access to the following:
- Improvements and bug fixes contributed by the Elastic team before the changes are available in OpenTelemetry repositories.
- Optional features that can enhance OpenTelemetry data that is being sent to Elastic.
- Elastic-specific processors that ensure optimal compatibility when exporting OpenTelemetry signal data to an Elastic backend like an Elastic Observability deployment.
- Preconfigured collection of tracing and metrics signals, applying some opinionated defaults, such as which sources are collected by default.
- Compatibility with APM Agent Central Configuration to modify the settings of the EDOT Python agent without having to restart the application.
Follow the step-by-step instructions in Setup to get started.
For the latest release notes, including known issues, deprecations, and breaking changes, refer to EDOT Python release notes