The Datadog plugin helps improve software performance by providing meaningful code-level insights in the IDE based on real-time observability data. It helps reduce application latency and lower cloud costs by highlighting specific code lines that consume the most CPU, allocate the most memory and spend the most time on locks, disk I/O, socket I/O, and more.
The plugin is for developers that use Datadog products including Error Tracking, Log Explorer, and the Continuous Profiler for their Java, Go, Python and PHP services.
The Code Insights view keeps you informed about:
The Continuous Profiler helps you to reduce latency and lower cloud costs by highlighting code lines that:
The Logs support shows observed logs in source code, as detected from Log patterns, and provides links to the Datadog Log Explorer to view logs generated by a specific line of code.
The CI Test Runs feature opens the Continuous Integration Visibility Explorer to show recent runs for a selected test.
The Static Analysis integration, in beta, analyzes your code (locally) against predefined rules to detect and fix problems before you commit changes.
Checkout the documentation to see more information about the Datadog plugin. For any feedback reach out to us via the issue tracker or send an email to team-ide-integration@datadoghq.com
Datadog anonymously collects information about your usage of this IDE, including how you interact with it, whether errors occurred while using it, and what caused those errors, in accordance with the Datadog Privacy Policy and Datadog's EULA.
If you don't wish to send this data to Datadog, you can opt out at any time in the settings: Settings > Tools > Datadog > Data Sharing
and disable the Send usage statistics
option.