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Sentry logo

Sentry

Application monitoring and error tracking that helps developers fix issues faster.

freemiumverified Jul 16, 2026

Sentry is the leading error tracking and performance monitoring platform for developers. Captures and aggregates errors with full stack traces, breadcrumbs, and context across 100+ platforms. Used by over 100,000 organizations. Features session replay, performance tracing, and code-level profiling. A self-hosted deployment is available under FSL-1.1-Apache-2.0.

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A detailed review by the aicoolies team — click to read

Sentry is an application monitoring platform focused on real-time error tracking and performance monitoring that helps development teams catch, diagnose, and fix bugs in production before they impact users. Unlike full-stack observability platforms that monitor infrastructure and networks, Sentry specializes in application-level diagnostics — capturing exceptions with complete stack traces, breadcrumbs showing the sequence of events leading to errors, and user context including device, browser, and session information. Used by over 100,000 organizations processing billions of error events daily, it has become the industry standard for crash reporting across web, mobile, desktop, and backend applications.

The Session Replay feature reconstructs user interactions leading to errors as video-like recordings, showing clicks, scrolls, page navigations, network requests, and console output that eliminate the guesswork of reproducing production issues. Seer, the AI debugging agent, performs automated root cause analysis on captured errors and suggests specific code fixes when connected to GitHub repositories. The platform supports SDKs for over 100 languages and frameworks including JavaScript, Python, Java, Ruby, Go, iOS, Android, React, and Django, with setup typically requiring only a few lines of code.

Pricing follows an event-based model starting with a free Developer tier at 5,000 errors per month, Team at $26 per month with 50,000 errors, and Business at $80 per month with 100,000 errors. Enterprise plans offer custom pricing with advanced security, compliance SLAs, and dedicated support. A self-hosted option allows organizations to run Sentry on their own infrastructure using Docker for complete data sovereignty. Deep integrations with GitHub, GitLab, Jira, Slack, and PagerDuty connect error tracking directly into development workflows for streamlined issue resolution.

Pricing

Developer free (5K errors/mo). Team $26/mo. Business $80/mo. Self-hosted free.

Platforms

Cloud SaaS or self-hosted (Docker). SDKs for 100+ platforms. Web dashboard.

Categories

Tags

Use Cases

Related Tools

computed discovery: shared active categories · kept separate from editor-verified Alternatives

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Better Stack

Better Stack is a hosted observability and incident-management platform that combines uptime monitoring, on-call workflows, status pages, logs, traces, metrics, error tracking, session replay, and an AI SRE interface. It is aimed at teams that want one SaaS control plane for telemetry and incident response.

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HyperDX

HyperDX is the ClickStack UI for ClickHouse-backed observability. It provides a frontend for exploring logs, traces, metrics, session replay, dashboards, and alerts, with an OpenTelemetry-centered deployment path for teams that want a self-hosted or ClickHouse-aligned observability stack.

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SigNoz

SigNoz is an OpenTelemetry-native observability platform for collecting and correlating logs, metrics, and traces. Teams can self-host it or use SigNoz Cloud, with dashboards, alerting, query workflows, and enterprise controls for cloud-native and AI application telemetry.

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Latitude logo

Latitude

Sentry-style observability for AI agent conversations

Latitude is an agent observability platform for teams that need to inspect LLM traces, conversations, issues, and evaluation feedback in one workflow. Its public repo and docs position it as a Sentry-style monitor for AI agents, with semantic search, issue detection, annotations, MCP-assisted fixes, and cloud or self-hosted deployment paths for production debugging.

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Spotlight by Backplanes

Session reports for Claude Code and Codex runs

Spotlight by Backplanes turns completed Claude Code and Codex sessions into concise reports for engineering, security, and spend review. The CLI installs on macOS, Linux, or WSL 2, watches sessions after they finish, redacts PII and credentials locally before upload, then summarizes files touched, commands run, external domains reached, scope drift, risky actions, and next-session improvements.

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Traceway

OpenTelemetry-native observability with AI tracing, logs, traces, metrics, and session replay — self-hosted in 90 seconds.

Traceway is an open-source, OpenTelemetry-native observability platform that combines logs, traces, metrics, exceptions, session replay, and AI tracing in a single self-hosted system. MIT licensed with no open-core restrictions, it deploys in 90 seconds via Docker Compose and accepts OTLP/HTTP from any OTel SDK without a Collector or per-language vendor SDK.

Open Source

Used in Stacks

Production SaaS AI Coding Workflow Stack

A production-focused SaaS workflow that moves AI-assisted code from Cursor through isolated database changes, identity, CI, preview deployments, and release monitoring. Supabase is the production backend, Neon handles disposable migration branches, Clerk owns identity, GitHub Actions gates changes, Vercel delivers them, and Sentry closes the feedback loop.

AI-Assisted PR Quality Gate Stack

Build agent-authored pull requests behind an evidence-first quality gate. Claude Code proposes the change, Playwright and reviewdog turn tests and diagnostics into reviewable signals, Qodo provides an independent PR review, GitHub Actions enforces the required checks, and Sentry connects post-merge regressions to the release—while human reviewers retain merge authority.

LLM Observability Stack

Monitor, trace, and optimize your LLM applications: Langfuse for deep tracing and evaluation, Helicone for request logging and analytics, Portkey for AI gateway routing, and Sentry for error tracking across your full stack.

varies

Autonomous Issue Resolution Stack

Automate the detection, diagnosis, fix, and merge pipeline for software issues with AI-assisted workflows.

varies

Incident Response & SRE Stack

A modern SRE stack for detecting, responding to, and learning from production incidents. Combines AI-powered incident management with Kubernetes troubleshooting, distributed tracing, and error monitoring for comprehensive operational reliability.

varies

Observability & Monitoring Stack

Full-stack observability from infrastructure metrics to application errors — built on the tools that engineering teams trust in production.

varies

Comparisons

Sentry vs Highlight.io — Enterprise Error Tracking Platform vs Open-Source Full-Stack Monitoring

Sentry and Highlight.io both help development teams catch and resolve production issues, but approach observability from different angles. Sentry is the established market leader in error tracking, supporting over 100 languages and frameworks with deep stack trace analysis and performance monitoring. Highlight.io is an open-source full-stack monitoring platform that unifies session replay, error tracking, logging, and distributed tracing in a single tool.

Sentry

Sentry vs Grafana — Error Tracking vs Full-Stack Observability for Developer Teams

Sentry and Grafana are both essential monitoring tools but serve fundamentally different purposes. Sentry specializes in application error tracking, crash reporting, and performance monitoring with deep code-level context. Grafana is a visualization and dashboarding platform that aggregates metrics from multiple data sources for infrastructure and application monitoring. Most production teams use both rather than choosing between them.

SentryGrafana

Sentry vs Datadog vs New Relic — Application Monitoring Comparison

Application monitoring in 2026 splits into two camps: focused error tracking platforms and full-stack observability suites. Sentry leads the error tracking category with deep crash diagnostics and session replay. Datadog and New Relic compete as comprehensive observability platforms covering infrastructure, APM, logs, and more. This comparison examines their architectures, ideal use cases, pricing models, and which teams benefit most from each approach.

FAQ

What is Sentry?

Sentry is the leading error tracking and performance monitoring platform for developers. Captures and aggregates errors with full stack traces, breadcrumbs, and context across 100+ platforms. Used by over 100,000 organizations. Features session replay, performance tracing, and code-level profiling. A self-hosted deployment is available under FSL-1.1-Apache-2.0.

Is Sentry free?

Sentry offers a free tier alongside paid plans. Developer free (5K errors/mo). Team $26/mo. Business $80/mo. Self-hosted free.

Is Sentry still maintained?

Yes — Sentry is active. Its listing was last verified on July 16, 2026.

What are the best Sentry alternatives?

The top editor-verified Sentry alternatives are Netdata MCP.

How does Sentry score in our review?

Our hands-on review scores Sentry 86/100 overall, based on speed, privacy, and developer-experience testing.