How does Sentry's pricing work? Am I charged per error?

Plans have a base quota (e.g., 50k errors for Team). You're charged a base fee, then pay-as-you-go for usage exceeding the quota. Pricing is tiered per data type (errors, logs, spans, etc.).

What is Seer and do I need it?

Seer is Sentry's AI debugging agent. It performs root cause analysis, generates fix suggestions, and reviews code. It's a powerful add-on ($40/contributor/month) for teams wanting automated insights.

How does Sentry handle sensitive data (PII) and privacy?

Sentry allows you to scrub PII from events before they leave the client or server. Enterprise plans offer advanced PII management, data residency options, and compliance (SOC2, HIPAA, ISO 27001).

Can I self-host Sentry instead of using the SaaS?

Yes, Sentry offers a self-hosted solution. This gives you full control over data but requires managing the infrastructure yourself. The feature set may lag behind the SaaS version.

Directory/Coding/Error Tracking/Sentry

Sentry

Sentry is an application monitoring platform for error tracking, performance monitoring, and debugging across the entire software stack. It captures exceptions, stack traces, and performance metrics in real-time, correlating them with releases, commits, and user sessions. Key capabilities include automatic error grouping, release health tracking, session replay for visual debugging, distributed tracing, and AI-powered root cause analysis with its "Seer" debugger. It integrates deeply with GitHub, Slack, Jira, and other dev tools to streamline incident response. Target users are development teams, software engineers, and DevOps/SRE professionals who need to monitor production applications, diagnose crashes, and maintain application reliability across web, mobile, and backend systems.

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Added on

Sep 22, 2026

Error monitoringPerformance tracingSession replayAI debugging (Seer)Agent tracingLog managementMulti-platform SDKsCustom dashboards

Product information

Everything worth knowing about Sentry

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Error Monitoring & Tracing

Catch and trace errors, slow queries, and performance issues across your stack.

Session Replay

Replay user sessions to see exactly what happened before an error.

Seer AI Debugging Agent

AI agent for root cause analysis and automatic fix generation (add-on).

Custom Dashboards & Alerts

Create personalized views and get notified via email or integrated tools.

Agent Tracing

Monitor AI agent performance, tool calls, and token usage.

Technical capabilities

SDK-based Integration

Lightweight SDKs for 20+ platforms (JS, Python, Go, etc.) with minimal setup.

OpenTelemetry Support

Compatible with OpenTelemetry for standardized observability data.

Must watch videos

A Demo Walkthrough of Seer, Sentry's AI Debugger

2:48

Tutorial2:48

A Demo Walkthrough of Seer, Sentry's AI Debugger

Watch Cody walk us through how to use Seer and how quickly it can root cause issues to save you precious time. Read the full blog post here: https://blog.sentry.io/seer-sentrys-ai-debugger-is-generally-available/ Try Sentry for free: https://sentry.io Docs: https://docs.sentry.io

6:14

Tutorial6:14

Sentry in Six Minutes

Wondering what Sentry can do to keep you updated on actionable ways to improve your application? Check out this quick overview of Sentry's biggest features, then request a demo: https://sentry.io/demo/ Try Sentry: https://sentry.io Docs: https://docs.sentry.io Follow: https://twitter.com/getsentry

0:19

Tutorial0:19

Mimi Sentry Uses AI

In an effort to decrease cognitive stress, Mimi switches herself into autopilot sleep mode during work. She did not take into account the agents of anarchy that'll toy around with her automatic responses. https://www.youtube.com/watch?v=FDZj6DCWlfc Mimi Sentry model https://steamcommunity.com/sharedfiles/filedetails/?id=2970467179 Love these videos? Keep me going by supporting me on Patreon! https://www.patreon.com/IzumiCh Follow me on Twitter, @SuckyEngy1zumi https://twitter.com/SuckyEngy1zumi #TF2 #SFM #AI

Who uses it

Real use cases, no hype

Production Error Debugging

Catch and prioritize runtime exceptions, with full stack traces, user context, and release info to fix bugs fast.

Performance Monitoring

Trace slow requests, database queries, and external API calls to pinpoint bottlenecks and optimize latency.

AI Agent Observability

Monitor LLM-based agents, track tool calls, token usage, costs, and debug unexpected outputs or failures.

Frontend User Experience

Use Session Replays to see exactly what users did before an error or performance issue occurred.

CI/CD Regression Catching

Use Seer AI Code Review to automatically flag potential regressions in pull requests against production error history.

Release Health Tracking

Monitor crash-free session rates and user impact across every release to gauge stability.

What's great

Extremely easy SDK setup (5 lines)
Unified platform for errors, traces, logs, replays, metrics
Powerful AI debugging with Seer (root cause, autofix)
Rich ecosystem of integrations (GitHub, Slack, Jira, etc.)

Technical strengths

Context-rich issue details with suspect commits & code owners
Performance tracing with distributed traces and profiling
Agent tracing for AI/LLM workflows and tool call visibility

Where it falls short

Data volume-based pricing can get expensive
Free tier is very limited (1 user, 5k errors)
AI features (Seer) are a separate paid add-on
Quota management is a paid feature (Business plan)

Technical limitations

Overhead of SDK in production if sampling isn't tuned
Vendor lock-in with proprietary data model and trace context

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

The main difference is advanced features: Business adds unlimited dashboards, advanced quota management, and SAML/SCIM for enterprise authentication. Team is sufficient for most scaling teams.