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Sentry

Real-time error tracking and performance monitoring for developers

Sentry captures exceptions, performance data, and user context across languages, delivering actionable insights that let developers diagnose and resolve issues faster, all from a unified dashboard.

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Overview

Overview

Sentry is a developer‑first platform that turns raw crash reports and performance metrics into clear, actionable tickets. With SDKs for over 20 runtimes—including JavaScript, Python, Go, and mobile frameworks—developers can instrument applications with a single line of code and start sending errors, stack traces, and user context to a central service.

How it works

Events are automatically grouped, enriched with release and environment data, and displayed on a searchable dashboard where teams can assign owners, set alerts, and drill into performance traces. Sentry can be run as a SaaS offering at sentry.io or self‑hosted via Docker, giving organizations flexibility to meet compliance or latency requirements while keeping the same feature set.

Community and integration

The platform integrates with popular issue trackers, CI pipelines, and chat tools, enabling automated ticket creation and real‑time notifications. A vibrant community contributes plugins, language bindings, and documentation, while the core team maintains a rapid release cadence. Whether you’re building a small web service or a large micro‑services architecture, Sentry scales to handle millions of events per day.

Highlights

Unified dashboard for errors and performance traces
Support for 20+ language SDKs
Automatic event grouping and context enrichment
SaaS and self‑hosted Docker deployment options

Pros

  • Fast issue detection with real‑time alerts
  • Broad language and framework coverage
  • Rich context (user, release, environment) improves debugging
  • Scalable architecture handles high event volume

Considerations

  • Self‑hosting requires infrastructure and maintenance
  • Advanced features may need paid SaaS tier
  • Learning curve for configuring alerts and performance monitoring
  • Large volume can increase storage costs

Managed products teams compare with

When teams consider Sentry, these hosted platforms usually appear on the same shortlist.

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Airbrake

Error monitoring platform for tracking application exceptions and performance issues

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Bugsnag

Full-stack error monitoring and application stability management platform for proactive bug detection

Datadog APM logo

Datadog APM

Cloud APM with code-level distributed tracing and correlation to logs/metrics.

Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.

Fit guide

Great for

  • Teams that need immediate visibility into production errors
  • Organizations with multi‑language codebases
  • Companies requiring compliance‑ready self‑hosted monitoring
  • Developers who want integrated performance tracing alongside crash reporting

Not ideal when

  • Projects with minimal error volume and no performance concerns
  • Teams lacking resources to manage self‑hosted infrastructure
  • Environments where a lightweight logger without UI is sufficient
  • Organizations that cannot allocate budget for premium SaaS features

How teams use it

Web application crash monitoring

Capture unhandled exceptions, group similar crashes, and notify developers instantly, reducing mean time to resolution.

Mobile app performance tracing

Record slow UI frames and network latency, visualize call stacks, and pinpoint bottlenecks across iOS and Android builds.

Micro‑services latency analysis

Collect distributed tracing spans across services, identify slow endpoints, and optimize end‑to‑end request times.

Compliance‑driven self‑hosting

Deploy Sentry in‑house via Docker to keep error data behind the firewall while retaining full feature parity.

Tech snapshot

Python56%
TypeScript43%
HTML1%
MDX1%
Less1%
JavaScript1%

Tags

monitorerror-monitoringcrash-reportshacktoberfesterror-loggingcsp-reportpythontag-productionmonitoringdevopsdjangocrash-reportingfair-sourceapmsentry

Frequently asked questions

How does Sentry collect error data?

By installing an SDK in your application; the SDK captures exceptions, stack traces, and optional context, then sends JSON payloads to the Sentry server.

Can I use Sentry without a paid plan?

The core error‑tracking features are available in the free SaaS tier; self‑hosted deployments are also free, though advanced analytics may require a commercial license.

What languages are supported?

Official SDKs exist for JavaScript, Python, Go, Ruby, PHP, Java/Kotlin, Swift/Objective‑C, C#, C/C++, Dart/Flutter, and many more via community extensions.

How is data stored and retained?

Events are stored in a PostgreSQL database; retention periods can be configured per organization, with default limits set by the hosting plan.

Is there a way to integrate Sentry with my CI pipeline?

Yes, Sentry provides integrations for GitHub, GitLab, Bitbucket, Jenkins, and others, allowing automatic issue creation and release tracking.

Project at a glance

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