Sentry

Overview

Sentry is an application monitoring platform that helps developers find and fix errors, performance slowdowns, and crashes. It connects errors, logs, session replays, spans, profiles, and metrics under a single trace so teams can go from issue to context to fix without switching tools.

Sentry targets software teams of all sizes, from individual developers to large enterprises like Disney, Atlassian, and GitHub. Unlike separate error tracking and APM tools, Sentry unifies debugging signals in one platform and adds AI-assisted root cause analysis through Seer.

Key Benefits

• Drop in the SDK with five lines of code — no agents to install, no performance surprises.
• See errors, logs, replays, spans, profiles, and metrics all connected by the same trace.
• Automatically root-cause any issue with Seer, an AI debugger that analyzes logs, commits, traces, and stack traces.
• Predict and prevent errors before they reach production using AI code review.
• Get full context for every fix from dev to prod through integrations with GitHub, Slack, Jira, Linear, and coding agents via the Sentry MCP server.
• Map every incident to the release, pull request, and owner automatically.

How It Works

You add the Sentry SDK to your application in five lines of code. Sentry automatically captures errors, performance traces, session replays, and logs under a single distributed trace. When an issue surfaces, you open the Sentry dashboard, click into the event, and see the stack trace, related logs, affected users, replay video, code commits, and the owning pull request — all in one view. The Seer AI agent can then generate a merge-ready fix for the broken code.

Use Cases

• Web and full-stack development teams debug frontend and backend errors with stack traces, console logs, and session replays connected in a single view.
• Mobile app developers track crash reports with device context, breadcrumbs, and release health data to reproduce and fix issues.
• Game studios monitor crash rates and performance profiles across live player sessions to ship stable builds.
• AI and ML engineering teams observe LLM calls, agent traces, and latency to debug AI application behavior.
• Ecommerce teams catch slow queries, N+1s, and request timeouts before they degrade the customer checkout experience.
• DevOps and SRE teams monitor cron job failures, uptime alerts, and release-level incident maps to automate incident response.

Why Choose This Product

Sentry is best suited for development teams that want a single platform connecting errors, performance, logs, and replay data rather than stitching together separate tools. The free Developer tier supports one user with 5,000 errors and 50 session replays per month, making it accessible for individual developers and small projects. Larger teams should note that advanced AI debugging through Seer comes at additional cost, and pay-as-you-go rates apply above each plan's included base quota.