The Datadog AWS Lambda Library
Follow the installation instructions, and view your function's enhanced metrics, traces and logs in Datadog.
Follow the configuration instructions to tag your telemetry, capture request/response payloads, filter or scrub sensitive information from logs or traces, and more.
If you encounter a bug with this package, we want to hear about it. Before opening a new issue, search the existing issues to avoid duplicates.
When opening an issue, include the Datadog Lambda Library version, Python version, and stack trace if available. In addition, include the steps to reproduce when appropriate.
You can also open an issue for a feature request.
Lambda Profiling Beta
Datadog's Continuous Profiler is now available in beta for Python in version 4.62.0 and layer version 62 and above. This optional feature is enabled by setting the
DD_PROFILING_ENABLED environment variable to
true. During the beta period, profiling is available at no additional cost.
The Continuous Profiler works by spawning a thread which periodically wakes up and takes a snapshot of the CPU and Heap of all running python code. This can include the profiler itself. If you want the Profiler to ignore itself, set
Major Version Notes
4.x / Layer version 61+
- Python3.6 support has been deprecated by AWS, and support removed from this library.
dd-traceupgraded from 0.61 to 1.4, full release notes are available here
get_correlation_ids()has been changed to
get_log_correlation_context(), which now returns a dictionary containing the active
trace_id, as well as
If you find an issue with this package and have a fix, please feel free to open a pull request following the procedures.
For product feedback and questions, join the
#serverless channel in the Datadog community on Slack.
Unless explicitly stated otherwise all files in this repository are licensed under the Apache License Version 2.0.
This product includes software developed at Datadog (https://www.datadoghq.com/). Copyright 2019 Datadog, Inc.
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