Datadog @ Replay 2026 | 100 Temporal Mistakes and How to Avoid Them
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A conference talk from Datadog engineers covering common mistakes when using Temporal for workflow orchestration. Key topics include: configuring activity timeouts (schedule-to-close vs start-to-close vs heartbeat timeouts), retry policy pitfalls like setting max attempts too low, implementing idempotency for activities using idempotency keys or existence checks, workflow determinism requirements, versioning workflow code changes safely using change version checks, cleaning up change versions in two deployment phases, handling child workflow lifecycle with parent close policies and disconnected contexts, and using continue-as-new for long-running workflows. Practical guidelines are provided for each area, along with Go SDK-specific nuances and tooling recommendations like replay testing harnesses.