Sentry
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About Sentry
Sentry is an application monitoring platform focused on error tracking, performance monitoring, and session replay for software development teams, founded in 2008 by David Cramer and Chris Jennings, headquartered in San Francisco. It is open-source (MIT license) and self-hostable, but also available as a hosted SaaS at sentry.io. Sentry captures, groups, and alerts on application errors and exceptions in real-time across web, mobile, and backend platforms — supporting JavaScript, Python, Ruby, Java, PHP, Go, .NET, Swift, Kotlin, and 100+ more via SDKs. Developer-centric features include source map support (shows exact code line in minified production code), breadcrumbs (user actions leading to an error), suspect commits (auto-blames the git commit that introduced the bug), and session replay (video-like playback of user sessions that crashed). Sentry Performance monitoring captures transaction traces and identifies N+1 queries, slow API calls, and frontend Core Web Vitals. Raised at a $3.2 billion valuation in 2021, Sentry serves over 90,000 organizations globally including GitHub, Disney, Cloudflare, and Reddit. The Developer plan is free (5,000 errors/month, 10,000 performance units); Team starts at $26/month; Business at $80/month.
Frequently Asked Questions
Is Sentry free?
Sentry's Developer plan is free forever with 5,000 errors/month, 10,000 performance units, 50 session replays, and 1 team member. This is sufficient for personal projects and small applications. The Team plan starts at $26/month for 50,000 errors, 100,000 performance units, and 500 replays — typically covers early-stage startups. Business at $80/month adds more volume, SSO, custom dashboards, and SLA support. Self-hosted Sentry (open-source) is free with no limits but requires maintaining your own infrastructure.
What is Sentry used for?
Sentry is primarily used for: (1) Error tracking — capturing and grouping JavaScript, Python, mobile, and backend exceptions with full stack traces; (2) Performance monitoring — identifying slow database queries, API calls, and Core Web Vitals regressions; (3) Session replay — watching video-like recordings of user sessions that led to errors; (4) Release tracking — correlating error spikes with specific deployments; (5) Alerting — notifying teams via Slack, PagerDuty, or email when error rates spike. It's the default error tracking tool for web startups.
Sentry vs Datadog: which should I use?
Use Sentry if you primarily need application error tracking and developer debugging tools — Sentry's error grouping, source maps, suspect commits, and session replay are purpose-built for debugging and have no equal. Use Datadog if you need infrastructure monitoring alongside application monitoring — Datadog covers server metrics, Kubernetes, network, logs, and traces in one platform. Many teams use both: Sentry for application errors (developer-facing) and Datadog for infrastructure observability (ops-facing). Sentry's free tier makes it the default starting point for most development teams.
Top Alternatives to Sentry
Datadog
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Rollbar
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Bugsnag
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LogRocket
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New Relic
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Honeybadger
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