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Application monitoring platform for error tracking and performance observability. Captures exceptions and stack traces across the full stack, groups issues automatically, and correlates errors with distributed traces, session replays, and release context to accelerate debugging and optimization.

Trusted by enterprises such as Microsoft, Disney, Nike, Cloudflare, PayPal, Reddit, and Peloton. Stands out by combining error monitoring, APM tracing, session replay, profiling, uptime checks, and cron monitoring in one developer-focused workflow, unlike point solutions such as Rollbar or Bugsnag. Open source core with SDKs for 30+ platforms including JavaScript, Python, Go, Ruby, PHP, and mobile frameworks.

Key capabilities:

  • Real-time error tracking with automatic issue grouping and stack trace symbolication
  • Distributed tracing and performance monitoring with transaction and span analysis
  • Session replay to see user sessions leading up to errors and performance regressions
  • Profiling for CPU, memory, and GPU bottleneck identification
  • Uptime and cron monitoring for scheduled jobs and endpoint availability
  • Deploy tracking and release attribution to correlate regressions with code changes
  • Integrations with GitHub, Jira, Slack, PagerDuty, and CI/CD pipelines

Engineers use Sentry to detect production errors as they occur, reproduce issues via session replays and breadcrumbs, and fix regressions with release-based filtering. Fits into existing toolchains via lightweight SDKs, source map uploads for readable stack traces, and self-hosted or cloud deployment options.

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