Application Performance Monitoring & Error Tracking
Sentry
Application monitoring software that helps developers find, debug, and fix code issues faster, with errors, logs, replays, traces, and metrics all connected in one platform.
sentry.io/ ↗Sentry is an application monitoring platform built for developers, offering error tracking, performance monitoring, logs, session replay, metrics, and AI-powered debugging tools. It is a registered trademark of Functional Software, Inc.
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Producto
Sentry is a developer-first application monitoring platform that connects errors, logs, session replays, distributed traces, and metrics under a single trace context. It includes Seer, an AI debugging agent that automatically root-causes issues, generates merge-ready code fixes, reviews PRs against real production data, and answers plain-language questions about application behavior.
Problema que resuelve: Developers waste time reproducing errors, switching between disconnected observability tools, and manually triaging issues. Sentry unifies all signals in one place and uses AI to automatically investigate and fix problems, reducing time-to-resolution.
Para: Software developers (web, mobile, desktop), Engineering teams at startups and enterprises, Full-stack developers, Mobile developers (Android, iOS, Flutter, React Native), DevOps and platform engineering teams, AI application developers
Casos de uso
- ·Tracking and resolving production errors across any language or framework
- ·Debugging slow endpoints, N+1 queries, and request timeouts
- ·Replaying user sessions to understand what led to a bug
- ·Automatically generating code fixes for production issues with Seer Autofix
- ·Reviewing PRs against real production error and performance history with AI Code Review
- ·Correlating structured logs with traces and errors for faster root-cause analysis
- ·Tracking custom application metrics with high-cardinality tags
- ·Investigating incidents in plain language via Seer Agent
Features (12)
Error Monitoring◦
Tracks, groups, and prioritizes errors across any language or framework, providing stack traces, local variables, breadcrumbs, user impact data, and release health metrics.
Seer (AI Debugging Agent)◦
Sentry's AI debugging agent that automatically investigates new issues, traces root causes through the codebase, and generates merge-ready pull requests with fixes.
Seer Autofix◦
Reads the stack trace, traces the root cause through the codebase, and drafts a targeted code fix with an explanation; can run automatically on issues Seer is confident it can fix.
Seer Agent◦
Conversational AI interface that answers plain-language questions about application behavior using the full Sentry telemetry context, error history, stack traces, spans, logs, breadcrumbs, source code, and recent deploys.
AI Code Review◦
Reviews pull requests against real production error and performance history to predict which code changes will cause problems before they ship; available on GitHub and GitHub Enterprise.
Session Replay◦
Records and replays user sessions showing exactly what the user experienced, including web vitals, console output, logs, network calls, errors, and traces, with privacy masking enabled by default.
Structured Logs◦
Ingests structured logs connected to the same trace and error context, enabling search by metadata fields (e.g., customer_id, payment_id), log-based alerts, dashboards, and livestreaming.
Application Metrics◦
Tracks counters, gauges, and distributions with high-cardinality tags; every metric is linked to the trace and span that produced it, enabling drill-down from a metric spike to the exact request and stack frame.
Release Health◦
Provides real-time visibility across releases with core metrics including crash-free sessions, version adoption, and failure rate.
Breadcrumbs◦
Automatically tracks the sequence of events and user actions leading up to an error, providing a timeline of what happened before the crash.
Metric Equations & Aggregations◦
Combines up to 26 metric queries with arithmetic equations (e.g., A/B for failure ratios, Apdex scores) and supports sum, avg, count, p50/p95/p99 aggregations for use in dashboards and alerts.
Rage Click & Dead Click Detection◦
Session Replay surfaces unresponsive UI elements that frustrate users as trackable issues.
Pricing
Free (Logs)
◦- · Structured logs connected to errors and traces
Logs (pay-as-you-go beyond free tier)
◦0.50/GB
- · Structured logs
- · Log-based alerts
- · Log dashboards
- · Livestream logs
Free (Metrics)
◦- · Counters, gauges, distributions
- · Trace-connected metrics
Metrics (pay-as-you-go beyond free tier)
◦0.50/GB
- · High-cardinality metrics
- · Metric equations
- · Metric-based alerts
- · Metric dashboards
Seer (Team, Business, or Enterprise)
◦40/month
- · Seer Autofix
- · Seer Agent
- · AI Code Review
- · Unlimited use
Integraciones (9)
Documentación
- Seer DocsAI Debugging
- Seer Pricing DocsPricing
- AI Code Review DocsAI Debugging
- Session Replay DocsSession Replay
- Logs DocsLogging
- Metrics DocsMetrics
- Error Monitoring DocsError Monitoring
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Consultar por API / MCP
Este profile es consultable por agentes. Datos verificados el 2026-08-15 · versión 1.
GET /v1/company/sentry
GET /v1/company/sentry/pricing
POST /v1/query { "company": "sentry", "query": "..." }
MCP /api/mcp get_company · query_company · discover_companiesFuentes
- https://sentry.io/
- https://sentry.io/product/error-monitoring/
- https://sentry.io/product/logs/
- https://sentry.io/product/seer/
- https://sentry.io/product/seer/agent/
- https://sentry.io/product/seer/autofix/
- https://sentry.io/product/seer/ai-code-review/
- https://sentry.io/product/session-replay/
- https://sentry.io/product/metrics/