Sentry is an application monitoring and error tracking platform that helps developers identify, debug, and resolve software issues in production environments across web, mobile, desktop, game, and AI-powered applications.
The platform captures errors, crashes, and performance problems in real time, providing developers with stack traces, user context, and diagnostic data needed to reproduce and fix bugs. Sentry supports over 100 programming languages and frameworks, including JavaScript, Python, Java, Ruby, PHP, Go, React, Django, and mobile platforms like iOS and Android.
Core monitoring capabilities:
- Error tracking groups similar errors into issues, showing frequency, affected users, and the exact code location where problems occur
- Performance monitoring traces requests through distributed systems to identify slow database queries, API bottlenecks, and code-level performance problems
- Session Replay records user interactions leading up to errors, capturing clicks, network activity, and console logs for easier reproduction
- Logs captures structured log data from your applications alongside errors and traces, enabling search and filtering by message content, severity level, and custom attributes
- AI observability provides visibility into LLM applications, AI agents, and Model Context Protocol servers, tracking prompts, model calls, tool usage, and token consumption
Developers integrate Sentry by installing an SDK and adding a few lines of code to their application. The platform automatically captures unhandled exceptions, while developers can manually track custom errors and performance metrics. Sentry processes events in real time, sending alerts through Slack, email, PagerDuty, or other notification channels when issues occur.
Additional features and capabilities:
- AI-powered debugging through Seer, which analyzes errors to identify root causes and suggest code fixes with high accuracy
- Distributed tracing that follows requests across microservices, serverless functions, and third-party APIs to pinpoint failure points
- Custom dashboards and alerts for monitoring specific metrics, error rates, or performance thresholds important to each team
- Profiling tools that provide code-level visibility into where time is being spent in production, identifying slow functions, call stacks, and performance regressions across backend services and frontend/mobile user flows
- Workflow integrations with GitHub, Jira, GitLab, Azure DevOps, and other development tools to create tickets or link errors to commits automatically
The platform serves development teams at organizations ranging from individual developers to large enterprises. More than 100,000 organizations use Sentry, processing billions of error events daily. Sentry offers both cloud-hosted and self-hosted deployment options, with pricing tiers based on event volume. A free tier supports small projects and individual developers.
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