aicoolies logo
Sentry logo

Sentry

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

Share
freemiumOpen Source
Visit Website →

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. Open source self-hosted option available.

We have a review for this tool

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

Alternatives

Related Tools

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.

freemiumOpen SourceTelemetry

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.

freemiumTelemetry
Traceway logo

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-sourceOpen Source
Judgeval logo

Judgeval

Open-source post-building layer for agents — tracing, evals, and online monitoring

Judgeval is the open-source post-building layer for AI agents from Judgment Labs, providing OpenTelemetry-based tracing, hosted and custom evaluation scorers, and online behavior monitoring for LLM-powered applications. Instrument any function with a single decorator, score live production traffic against faithfulness and instruction-adherence checks, and feed real-world failures back into reinforcement learning or supervised fine-tuning loops.

open-sourceOpen Source
TraceRoot logo

TraceRoot

Open-source observability and self-healing layer for AI agents

TraceRoot is a YC S25-backed open-source observability platform purpose-built for AI agents and LLM apps. It combines OpenTelemetry-compatible tracing with an agentic debugging runtime that reads your source code, correlates failures with recent commits, and proposes fix PRs automatically. BYOK support spans seven LLM providers; the entire stack runs self-hosted via Docker Compose, with TraceRoot Cloud available for managed deployments.

open-sourceOpen Source
OpenSRE logo

OpenSRE

Open-source toolkit for building AI SRE incident response agents

OpenSRE is Tracer Cloud’s open-source public-alpha Python toolkit for building AI SRE agents that investigate and respond to production incidents. It ships 60+ tools across observability, databases, incident management, communications, deployment and protocol integrations, plus simulation/evaluation workflows for benchmarking agent accuracy before live pager use.

open-sourceOpen Source

Used in Stacks

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.

SentryDatadogNew Relic