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Python: Configure logs in context

Logs in context for the Python agent connects your logs and APM data in New Relic. Bringing all of this data together in a single tool helps you quickly get to the root cause of an issue and find the log lines that you need to identify and resolve a problem.

Set up your Python app

To enable logs in context for APM apps monitored by Python:

  1. Make sure you have already set up logging in New Relic. This includes configuring a supported log forwarder that collects your application logs and extends the metadata that is forwarded to New Relic.
  2. Install or update to the latest Python agent version, and enable distributed tracing. Use Python agent version 5.4.0 or higher for logs in context.
  3. Configure logs in context for your log handler.
  1. To verify that you have configured the log appender correctly, run your application, then check your logs data in New Relic One using the query operator has:span.id has:trace.id.

If everything is configured correctly and your data is being forwarded to New Relic with the enriched metadata, your logs should now be emitted as JSON and contain trace.id and span.id fields. If you don't see log data in the UI, follow the troubleshooting procedures.

What's next?

After you set up APM logs in context, make the most of your logging data:

その他のヘルプ

さらに支援が必要な場合は、これらのサポートと学習リソースを確認してください:

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