Catch incidents and pause faulty deployments automatically with Datadog Deployment Gates
Blog post from Datadog
Datadog Deployment Gates, now generally available, automates production health checks within deployment workflows to help teams identify errors, slowdowns, and infrastructure issues before changes reach more customers. The feature evaluates deployments using existing Datadog monitors for metrics such as error rates, latency, and resource utilization, alongside Watchdog Faulty Deployment Detection, which uses APM data and AI-based analysis to detect new or unexpected application errors by comparing deployed versions with prior releases. Gates can pause staged or canary deployments when required checks fail, limiting the impact of faulty releases while engineers investigate. Deployment Gates integrates with tools including GitHub Actions, Argo Rollouts, the datadog-ci CLI, and the Datadog API, and offers a dry-run mode for testing rules without interrupting deployments before enabling active enforcement. When failures occur, Datadog presents the relevant version, failed check, monitors or APM findings, traces, evaluation history, and optional Bits Chat assistance to support faster diagnosis and help teams identify recurring deployment problems.
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