Implementing Distributed Tracing in Sentry for Microservice Latency Analysis
Learn how to implement Sentry Distributed Tracing using W3C Trace Context to track requests across microservices and identify latency bottlenecks.
ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Learn how to implement Sentry Distributed Tracing using W3C Trace Context to track requests across microservices and identify latency bottlenecks.
When a new release spikes errors, knowing the exact commit that broke the app is critical. Sentry’s Release Tracking tags each event with the release version, letting you filter, alert, and roll back faster. This guide shows how to enable it, use it in CI/CD, and what to watch out for.
Decide between Sentry CLI and manual SDK tagging for release tracking. Learn how to balance pipeline complexity with data accuracy to enable source maps and release health metrics.
A slow invoice endpoint needs more than logs. Use transactions, sampled tracing, and a manual calculate_invoice span to make the waterfall explain business latency.
Sentry's sampleRate and beforeSend hook control what leaves your app, but they do different jobs. And the backend can still drop events. Here's how to configure and verify both.
Learn how to tag releases, configure release‑health alerts, and interpret the dashboard so you can spot regressions quickly after each deployment.
Learn how to implement Sentry Source Maps to resolve obfuscated production stack traces, ensuring precise error localization while keeping source code secure.
Default Sentry grouping splits errors on dynamic values. Learn how to customize fingerprints via beforeSend and server‑side rules to collapse noise without hiding real regressions.
Stop the Sentry notification storm. Learn how to use custom event fingerprinting to group errors by root cause rather than dynamic error messages.