Error and performance monitoring developers actually use
Sentry tracks errors, performance bottlenecks, and release health across web, mobile, and backend. The 2023+ Profiling and Session Replay additions made it competitive with Datadog for full APM. The differentiator: developer-first DX. Stack traces are useful, alerts route to the engineer who broke it, releases tie to commits. Best for engineering-led teams that want errors solved, not dashboarded.
The only observability I check before opening Datadog.
We have Datadog for infrastructure metrics. We have Sentry for code. Sentry tells me what broke and who broke it. Datadog tells me a CPU spiked. Sentry is what fixes bugs.
Release tracking caught regressions in 30 minutes that QA missed for weeks.
Tag releases via CI, Sentry alerts on regression by release. We've cut MTTR for production regressions by 60% since adopting release health.
Free tier got us to 50K MAU before paying.
5K errors/mo on the free tier covered our first 6 months. The graduation to Team tier was painless and the value is obvious.
Methodology
Every review on this page is verified through GitHub OAuth and weighted by reviewer credibility, use-case match, and conflict-of-interest disclosure. Aggregate scores combine with recency decay so rankings reflect current reality. Read full methodology →
