Developers and SREs who rely on Microsoft Azure DevOps often face fragmented workflows when investigating issues or reviewing code quality. Troubleshooting an error can require jumping between observability tools and source code repositories as you manually connect traces, stack frames, and commits. At the same time, security vulnerabilities, misconfigurations, and flaky tests may go undetected until later stages of the software delivery life cycle (SDLC), where they are more costly to fix. Without consistent enforcement at the pull request level, teams can struggle to maintain reliable quality and security standards.
Datadog’s Azure DevOps Source Code integration brings your repositories directly into Datadog, giving you a code-aware view across Application Performance Monitoring (APM), CI Visibility, Code Security, Test Optimization, and more. By using this integration to connect your Azure DevOps organization to Datadog, you can analyze code health, surface relevant context during investigations, and enforce standards earlier in the SDLC.
In this post, we’ll show you how you can use the Azure DevOps Source Code integration to:
Get fast, clear insights into code health and securityFind the root causes of application errors in your codeCatch code issues earlier with pull request feedbackEnforce quality and security standards with PR Gates
