Keyword Analysis & Research: datadog logs and traces

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Frequently Asked Questions

What is Datadog and how does it work?

Datadog brings together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable. Seamlessly drill down into log event to investigate the root cause of an issue. Auto-detect performance problems without manual setup or configuration.

What is the correlation between Datadog APM and Datadog log management?

The correlation between Datadog APM and Datadog Log Management is improved by the injection of trace IDs, span IDs, env, service, and version as attributes in your logs. With these fields you can find the exact logs associated with a specific service and version, or all logs correlated to an observed trace.

Where does Datadog read my log messages?

In my configuration above, Datadog will read my log messages from a file, in a specified path /var/log/webapp/python/log.log. The easiest (and cleaner) way to integrate APM trace in your logs is by automatic Injection.

How do I correlate traces with logs?

Before correlating traces with logs, ensure your logs are either sent as JSON, or parsed by the proper language level log processor. Your language level logs must be turned into Datadog attributes in order for traces and logs correlation to work.

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