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Sentry: Error Tracking and Performance Monitoring

getsentry/sentry
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Quick verdict

Sentry error tracking covers the full debugging workflow, from exception capture to release correlation, in one place. Self-hosting eliminates per-seat pricing and keeps data on your infrastructure, but you take on Docker or Kubernetes maintenance. Worth reaching for when your stack spans multiple services and languages, and you need to correlate errors across them. If zero ops is the priority, the managed cloud service exists; if you're already happy with a simple logger, this adds more surface area than you'll use.

Stars
โ˜… 45.6k
Forks
โ‘‚ 4.9k
Contributors
๐Ÿ‘ฅ 1.1k
Language
Python
License
See repository
Topic
Developer Tools
Updated
Oct 2026

What is Sentry?

Sentry is a developer-first debugging platform for error tracking and performance monitoring. It works by instrumenting your application with a language-specific SDK that captures exceptions, crashes, and transaction timings, then sends them to a central instance. The platform groups similar events, shows full stack traces and user breadcrumbs, and ties errors to specific releases so you can immediately see which deploy introduced a regression. You can run it yourself via Docker or Kubernetes, or use the managed hosted option.

Core features: error tracking, performance, and releases

  • โœ“Exception tracking with full stack traces, local variables, and user breadcrumbs
  • โœ“Performance monitoring (APM) for slow transactions, database queries, and network requests
  • โœ“Release detection to correlate errors with specific deploys or commits
  • โœ“Breadcrumb trails recording user actions and application events leading up to a crash
  • โœ“Source map support for readable stack traces in minified JavaScript
  • โœ“Multi-language SDK coverage across Python, JavaScript, Ruby, Go, Java, Rust, and 15+ more
  • โœ“Configurable alerting via Slack, email, PagerDuty, or custom webhooks
  • โœ“Search and filter events by environment, release, user, or custom tags
How this repository's GitHub stars have grown over time. Source: star-history.com.View the star history โ†—

What you can monitor with Sentry

  • โ€ขMonitoring web application errors across Django, Express, or Rails backends
  • โ€ขCrash reporting for mobile apps built with React Native, Flutter, or Swift
  • โ€ขBackend microservice observability across polyglot environments
  • โ€ขFrontend JavaScript error tracking with source map decoding
  • โ€ขCorrelating production errors with specific releases or feature flags
  • โ€ขPerformance profiling to identify slow endpoints or database bottlenecks

Getting started with Sentry

The self-hosted version runs on Docker Compose or Kubernetes. The README links to deployment documentation rather than enumerating setup steps. For most languages, the SDK is installed as a package, your DSN is configured, and the client is initialized in your application entry point. JavaScript projects add a snippet to the HTML head. The exact SDK initialization varies by language.

Strengths

  • โœ“Captures detailed debugging context (stack traces, breadcrumbs, user data) that plain logs miss
  • โœ“Supports over 20 programming languages and runtimes through official SDKs
  • โœ“Self-hosting option gives complete data sovereignty with no per-seat licensing
  • โœ“Release tracking correlates errors directly to deploys, narrowing down regressions fast
  • โœ“Breadcrumb system reconstructs the sequence of events before a crash
  • โœ“Performance monitoring surfaces slow queries and transactions alongside errors

Known limitations and trade-offs

  • โ–ณSelf-hosting requires Docker Compose or Kubernetes knowledge and ongoing maintenance
  • โ–ณInitial setup is more involved than adding a simple logger to a project
  • โ–ณThe open-source version does not include some features available in the managed cloud tier
  • โ–ณStorage, backups, and scaling become your responsibility at scale
  • โ–ณLicense terms for self-hosting are not explicitly documented in the README

How Sentry compares to alternatives

Datadog โ€” infrastructure-first monitoring with optional APM, priced per host, different mental model for debugging workflowsELK Stack โ€” open-source log aggregation with Kibana dashboards, requires more manual correlation to connect errors across servicesRollbar โ€” error tracking as a service with strong framework integrations, lacks the breadth of Sentry's open-source SDK ecosystemAirbrake โ€” focused error and exception tracking service, simpler scope but less performance monitoring depthHoneybadger โ€” error tracking, uptime monitoring, and cron job checks in one, less language coverage than Sentry

Frequently asked questions about Sentry

Is Sentry free to self-host for error tracking?

Yes, the core platform is open source and can be self-hosted at no cost. You manage your own infrastructure, so while there is no per-seat fee, running the servers, databases, and handling scaling is your responsibility.

What programming languages does Sentry support?

Sentry official SDKs cover over 20 languages: JavaScript, Python, Ruby, PHP, Go, Rust, Java, Kotlin, Swift, Objective-C, C#, C/C++, Dart, Perl, Clojure, Elixir, and Unity, Unreal Engine, Godot, and PowerShell.

How does Sentry compare to Datadog for error monitoring?

Datadog is broader, covering infrastructure metrics, logs, and APM in one platform. Sentry is deeper on the developer debugging workflow: exception grouping, breadcrumbs, and release tracking are more granular. Teams often use both, with Sentry owning error tracking and Datadog owning infrastructure visibility.

Can I run Sentry on my own server or Kubernetes cluster?

Yes, self-hosting is a first-class option. The README references deployment documentation for Docker and Kubernetes. You control the environment, database, and retention policies entirely.

How does Sentry collect error and performance data from applications?

Each language has an SDK you install in your application. The SDK patches language-level exception handlers and, for performance monitoring, instruments framework hooks and HTTP calls. Events are sent over HTTPS to your Sentry instance using a per-project DSN URL.

What are the limits of Sentry's free plan for crash reporting?

The managed service offers a free tier with monthly event limits, though the exact caps are defined by Sentry's pricing page rather than the README. The self-hosted version has no event limits, but you operate the infrastructure that stores and processes them.

The problem it solves

Production errors arrive as raw exceptions or logs with no context for reproduction. Stack traces alone don't explain what the user was doing, which deployment introduced the bug, or whether a slow database query is correlated with the spike in 500s. Teams either fly blind or spend time replaying logs that were never designed to answer those questions.

Who should try it โ€” and who should skip

Development teams running multiple services or languages benefit most. If you need to correlate an error in your Python API with a slow database query and a specific release, Sentry ties those together. A solo developer or small team with a single application may find the setup overhead disproportionate to the benefit. Organizations with strict data residency or privacy requirements who want to own their debugging data rather than send it to a third party will appreciate the self-hosted option.

Related repositories

Source & attribution

Repository: getsentry/sentry โ€” https://github.com/getsentry/sentry. Description and features paraphrased from the project README.

GitHub data ยท last synced Oct 4, 2026Reviewed by Henry
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