Correlate code deployments with infrastructure performance, trace errors back to commits, and get real-time visibility across every release.
Engineering teams that keep monitoring and code platforms siloed spend too much time correlating data during incidents. Connecting Datadog and GitHub closes that gap, giving you a continuous feedback loop between what your code does and how your infrastructure responds.
Mark deployment events in Datadog whenever code is pushed or a PR is merged in GitHub.
Link Datadog error traces and alerts directly to the GitHub commit that introduced the change.
Bring infrastructure metrics and code activity into a single view without switching tools.
Overlay GitHub deployment events on Datadog dashboards to spot whether a release caused a latency spike.
Trace the incident timeline back to the exact GitHub commit or PR that triggered the change.
Track key SLOs before and after every GitHub release so you can roll back with confidence.
Use Datadog metrics to flag PRs likely to degrade performance before they reach production.
Open a GitHub issue or tag a commit automatically when a Datadog monitor enters alert state.
Send deployment and commit events from GitHub into Datadog as event markers.
Display deployment events alongside your key infrastructure and application metrics.
When an alert fires, navigate the correlated event timeline to find the responsible commit.
| Capability | Datadog | GitHub |
|---|---|---|
| Deployment event markers | Receives and displays | Sends on push / merge |
| Commit correlation | Links alerts to commits | Provides commit metadata |
| Dashboard overlays | Renders event timeline | - |
| Automated issue creation | Triggers via monitor | Creates and labels issues |
| Release health tracking | Tracks SLOs / SLIs | Tags releases and versions |
| GitHub Actions triggers | Sends webhook alerts | Executes workflow runs |
When Datadog and GitHub work together, every deployment automatically creates an event marker in your dashboards. That single change transforms post-deploy monitoring from a guessing game into a precise timeline.
Instead of asking 'what changed?', your team pulls up a Datadog alert, sees the correlated deployment event, and navigates straight to the diff. This can cut investigation time by 50% or more.
Teams can monitor SLOs around every release cycle, tag responsible commits when SLO breaches occur, and build dashboards showing release frequency alongside reliability metrics.
Tag GitHub deployments with environment labels so Datadog event markers are filterable.
Use Datadog's deployment tracking feature alongside GitHub release versions for automatic comparison.
Set up a Datadog monitor that posts a comment to the relevant GitHub PR when a post-deploy regression is detected.
The integration listens for push events, PR merges, and releases via a GitHub webhook. Each event is sent to Datadog's Events API and rendered as a dashboard marker.
Yes. When deployment events carry commit SHA metadata, Datadog correlates alert timestamps with the nearest deployment event for direct navigation.
Yes. The Datadog GitHub Action in your CI/CD pipeline can send test results, deployment signals, and custom metrics directly to Datadog.
No. Deployment events are lightweight webhook payloads sent asynchronously with no impact on build times or metric ingestion.
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