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Post Datadog deploy event on production ship
When a GitHub deployment succeeds in production, create a Datadog event with version and commit SHA.
When GitHub: Deployment status updated happens, do Datadog: Post event.
When this happens in one app, do this in the other. Try it on Hub to connect both apps and run the pair.
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When a GitHub deployment succeeds in production, create a Datadog event with version and commit SHA.
When a GitHub release is published, query Datadog error-rate metrics for the 30 minutes after deploy.
When a deploy workflow run fails, search Datadog logs for the service and post top errors to GitHub.
When a deployment is created, list Datadog monitors in alert state for the target service.
When a required check fails after deploy, list open Datadog incidents and comment on the release issue.
When a failed deployment status is posted, list commits since the last green deploy for Datadog event text.
Use Corsair's MCP with your agent
The agent searches both apps before it answers.
Did error rates spike after last night's deploy?
Code hosting platform for repositories, issues, pull requests, and developer workflows.
Monitoring and observability platform for metrics, logs, traces, and infrastructure alerts.
Yes. Corsair is built with a REST API. This means you can build agents, knowledge bases, interfaces, and workflows.
Yes. Connect both apps once, then emit Datadog deploy events from GitHub releases, query metrics after ships, and correlate failing workflows with logs and incidents.
Mark deploys in Datadog, watch error rates after tags, search logs when workflows fail, snapshot alerting monitors at deploy start, and attach commit lists to rollback events.
Yes. GitHub deployment, workflow, check, and release webhooks drive automations; Datadog is updated through typed API actions when those events fire.