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Real questions. Useful conversations. Find the people who know your stack.
Learn how to architect Sentry integrations for high-traffic apps, focusing on PII scrubbing, sampling rates, and non-blocking error reporting to maintain performance.
Decide whether to use Sentry’s client‑side, server‑side, or both SDKs in a web app by comparing setup, visibility, and duplication risks, then see a hybrid initialization example.
Learn how to tag releases, configure release‑health alerts, and interpret the dashboard so you can spot regressions quickly after each deployment.
Stop the Sentry notification storm. Learn how to use custom event fingerprinting to group errors by root cause rather than dynamic error messages.
Decide where to drop Sentry events — SDK sampling, beforeSend, ignoreErrors, or server-side filters — with a comparison table, trade-offs, and a validated Node/browser config example.
How to make Sentry stack traces readable and attribute regressions to a specific deploy, with the smallest design, data boundaries, and operational checks.
Stop drowning in error alerts by using Sentry’s Release Health. Tag each deployment, view new‑issue spikes per release, and set alerts that focus on regressions. A Node.js example shows the exact SDK call and CI step needed.
Our team is deciding how to manage issue grouping in Sentry for a growing set of services. We know Sentry groups events primarily by stack trace, with fallbacks to message and exception type, and that we can override this either by setting a custom fingerprint in the SDK (for example in a before-send hook) or by configuring server-side fingerprinting rules i
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