Sentry is the industry-leading application performance monitoring and error tracking platform built for developers who need to detect, diagnose, and resolve software issues before they affect users. We rate it 76/100 — an excellent choice for engineering teams at startups and enterprises alike, though teams watching their bill should plan carefully.

What is Sentry?

Sentry was born in 2012 out of a real developer frustration: David Cramer, then working at Disqus, needed a better way to catch and understand production errors. The project started as an open-source Python error logger, quickly gained traction, and became a standalone company. Today, in 2026, Sentry serves over 4 million developers across 150,000 organizations in 146 countries — including Disney+, Monday.com, and thousands of fast-moving startups — and processes a staggering 790 billion events per month. The company has raised $217 million in funding and transitioned to a Fair Source license in 2024, meaning the server-side code is publicly viewable but not open-source in the traditional sense.

The core problem Sentry solves is the gap between "something's broken" and "here's exactly why it broke and who owns the fix." Most logging tools tell you an error happened. Sentry tells you the full stack trace, the user who experienced it, every event leading up to it, which code commit introduced the bug, and which developer last touched that line — slashing mean time to resolution from hours to minutes.

Sentry — distributed tracing performance waterfall view — Sentry's performance monitoring view shows distributed traces and identifies slow database queries and API calls across your stack.

Key Features of Sentry

Error Monitoring with Full Context: Sentry captures unhandled exceptions automatically across 15+ languages (JavaScript, Python, Go, Ruby, PHP, Java, Swift, Kotlin, and more). Every error includes a full stack trace with local variables, device info, user identity, and every breadcrumb — HTTP requests, console logs, UI interactions — leading up to the crash.
Distributed Tracing: Connect frontend errors directly to their backend root cause with end-to-end transaction traces. The waterfall view pinpoints slow database queries, third-party API calls, and N+1 problems with sub-millisecond precision, even across microservices.
Session Replay: When an error occurs, Sentry can replay the exact user session that triggered it — every click, scroll, and input — giving you the full reproduction path without needing the user to describe what happened. Available on Business and Enterprise plans.
Seer — AI Debugger: Sentry's AI agent analyzes stack traces, logs, related commits, and traces to generate precise, merge-ready code fixes. In our testing, Seer resolves common JavaScript and Python errors with genuinely usable patches, not just suggestions.
Release Health Tracking: Monitor crash-free session rates, version adoption, and failure rates per release in real time. If a new deploy degrades stability by more than a defined threshold, Sentry alerts you before it becomes a user-impacting incident at scale.
150+ Integrations: Native integrations with Slack, GitHub, GitLab, JIRA, Linear, PagerDuty, Vercel, AWS Lambda, and many more. The GitHub integration auto-assigns issues to the developer who last committed to the affected code.

Sentry — breadcrumbs showing event timeline before an error — Sentry's breadcrumb trail shows the full sequence of events — HTTP requests, user interactions, console output — in the moments before an error occurred.

What Users Say About Sentry

On Reddit's r/webdev and r/devops, Sentry earns strong praise for its real-time error visibility and actionable stack traces. A frequently cited comment: "The moment Sentry pings Slack with a new error, I can click through, see the stack trace, see which user triggered it, and usually have a fix deployed in under 30 minutes — that's genuinely impressive." The most common complaint, echoed across Hacker News and multiple G2 reviews, is bill shock: a noisy backend service or a bad deploy can exhaust your monthly error quota within hours, with overages adding 15–30% to monthly costs. Capterra users frequently flag that the self-hosted version — while available — requires running Kafka, Redis, PostgreSQL, ClickHouse, and several other services (minimum ~8GB RAM), making it substantially harder to maintain than the cloud version. Product Hunt commenters note that while Sentry's free tier is genuinely useful for solo developers, the jump from free (5K errors/month) to Team ($26/month, 50K errors) is a step-change that some teams hit within days of going live.

Sentry Pricing

Sentry uses an event-based billing model where you pay for errors, spans, session replays, and log GB separately. All plans are billed annually.

Plan	Price	Key Limits
Developer	$0/month	1 user, 5K errors/mo, 5GB logs, 50 replays, 5M spans
Team	$26/month	Unlimited users, 50K errors, 3rd-party integrations, AI debugger, 20 dashboards
Business	$80/month	Unlimited users, Session replay, 90-day retention, anomaly detection, SAML/SCIM, unlimited dashboards
Enterprise	Custom	Custom quotas, technical account manager, dedicated support, BAA/HIPAA/SOC2

All new accounts get a 14-day trial with Business-tier features. Overages on the Team plan are $0.50/GB for logs. At high error volumes (millions of events/month), costs can escalate significantly — budget accordingly.

Sentry — issue detail view showing full stack trace and error context — Sentry's issue detail view surfaces the full stack trace, affected users count, and code-level context so developers can reproduce and fix bugs faster.

Who Should Use Sentry?

Best for: Engineering teams of any size building web, mobile, or backend applications who need production error visibility. Particularly well-suited for JavaScript/React and Python/Django teams, where SDK support is most mature. If you're deploying multiple times a day and need to know instantly if a release introduced regressions, Sentry is the gold standard.

Not ideal for: Solo developers or early-stage projects with tight budgets who rarely deploy to production. Also, teams heavily invested in full observability suites like Datadog or New Relic may find Sentry's error monitoring redundant — though many use both. Teams wanting true open-source (MIT/Apache) should note that Sentry switched to Fair Source in 2024.

Pros and Cons

Pros:

Real-time error alerts with full context — stack trace, user info, breadcrumbs — out of the box within minutes of SDK setup.
Session Replay (Business+) is genuinely game-changing for reproducing frontend bugs that are hard to describe.
The GitHub integration auto-assigns issues to the right developer based on git blame — saves significant triage time on larger teams.
Seer AI debugger generates merge-ready patches for common error patterns, not just generic advice.
Best-in-class SDK support across 15+ languages and frameworks with active maintenance.

Cons:

Event-based pricing can surprise teams: a single noisy service can exhaust monthly quotas in hours, leading to unexpected overages.
Self-hosting is technically demanding, requiring Kafka, Redis, PostgreSQL, ClickHouse, and multiple supporting services with 8GB+ RAM minimum.
SDK lock-in is real — migrating away from Sentry means re-instrumenting your entire codebase since the SDKs are proprietary.
The UI can be overwhelming for new users, particularly the alerting and quota management configuration.

Alternatives to Sentry

GlitchTip is the closest open-source drop-in replacement — it accepts Sentry SDKs directly, is truly open-source (MIT), and is far simpler to self-host. Trade-off: fewer features and a smaller ecosystem. PostHog includes error monitoring alongside product analytics and offers 100,000 free errors/month — more generous than Sentry's free tier. Rollbar is a direct competitor with a similar feature set and slightly more transparent event-based pricing, often cited as a gentler entry point for smaller teams.

Verdict: Is Sentry Worth It?

Sentry remains the benchmark for production error tracking in 2026. For teams that ship frequently and need rapid, context-rich debugging with minimal setup, there is no better tool. The free tier works well for solo developers and side projects. The Team plan at $26/month is genuinely excellent value for small teams with predictable error volumes. The Business plan's Session Replay alone is worth it for teams with complex frontend UIs. The caveats are real: at scale, pricing requires active management, and self-hosting is a significant operational commitment. If you can live with the managed cloud version and are comfortable with event-based billing, Sentry earns its 76/100 rating.

Frequently Asked Questions

Is Sentry free?: Yes, Sentry has a free Developer plan that includes 5,000 errors per month, 50 session replays, 5GB of logs, and 1 user. Paid plans start at $26/month (Team) for unlimited users and 50,000 errors. All new accounts get a 14-day Business trial.
Is Sentry open source?: Sentry transitioned from open source to Fair Source in 2024. The server-side code is publicly viewable on GitHub at github.com/getsentry/sentry, but it's not free to use commercially as a competing service. The client SDKs remain MIT-licensed.
Can Sentry be self-hosted?: Yes, Sentry can be self-hosted using Docker Compose. However, it requires running Kafka, Redis, PostgreSQL, ClickHouse, and multiple other services with a minimum of ~8GB RAM. This is a significant operational overhead compared to the managed cloud version.
How does Sentry compare to Datadog?: Sentry focuses specifically on error tracking and application performance from a developer's perspective — it's faster to set up and cheaper for error-only use cases. Datadog is a broader infrastructure and APM platform better suited for DevOps teams who need infrastructure metrics, logs, and traces unified. Many teams use both: Sentry for developer-facing error tracking and Datadog for infrastructure monitoring.
What programming languages does Sentry support?: Sentry supports 15+ languages and frameworks including JavaScript, TypeScript, React, Next.js, Python, Django, Go, Ruby, PHP, Laravel, Java, Kotlin, Swift, .NET, and more. The JavaScript and Python SDKs are the most mature.

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