From Datadog to CI Tests: Catch Regressions Before Deploy

The post advocates a “don’t repeat the incident” approach in which evidence from production incidents is converted into automated CI safeguards through traffic capture and replay. Teams can use Datadog signals such as p99 latency, error rates, dependency behavior, and traces to identify a narrow risk path, capture representative production traffic, remove sensitive or unstable data, and store deterministic replay snapshots as maintained test assets. Each pull request can then replay this production-shaped traffic against a branch build and fail when errors, latency, or other metrics exceed thresholds based on stable historical production baselines. The approach is intended to complement rather than replace unit, contract, integration, and load testing, while requiring gradual rollout, clear ownership, regularly refreshed snapshots, and carefully calibrated thresholds to prevent brittleness or noise.

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