Sentry

Application monitoring and error tracking

Open-source error tracking and performance monitoring platform. Captures exceptions, stack traces, and user context in real time across web, mobile, and backend. Features performance tracing, session replay, Seer AI for root-cause analysis and automated fix suggestions, crons monitoring, and code coverage integration. Free Developer plan up to 5K events. Team at $26/month (50K events). Business at $80/month (100K events).

Our take

Sentry is the default error tracking tool for modern web teams — the open-source pedigree, SDK breadth (100+ platforms), and free tier make it the path of least resistance. Seer AI is the 2024-2025 differentiator: it identifies root causes from error patterns and generates fix suggestions in the context of your actual codebase. At $26/month for the Team plan with 50K events and unlimited users, it's exceptional value for small engineering teams. The cost scaling for high-volume applications can be surprising — 100K errors/day runs roughly $442/month — so filtering noisy errors and enabling spike protection before scaling are essential. Datadog's APM and log management are more comprehensive for infrastructure-level observability; Sentry's focus on application-layer errors and developer workflow makes it faster to integrate and more actionable for engineering teams.

Product roadmap

Sentry is pushing further into AI-assisted debugging — Seer's automated fix suggestions will improve as the model sees more codebases. The January 2026 removal of legacy Seer add-on pricing folds AI capabilities into standard plans. Expect continued investment in codebase context (connecting errors to the specific code version that introduced them) and integration with AI coding tools like GitHub Copilot and Cursor.

Who is Sentry for?

Solo(1 person)

Great fit

Free Developer plan for personal projects. Team at $26/month for serious work where error alerting matters.

Small team(2–20 people)

Great fit

Team plan at $26/month with unlimited users is the best value in application monitoring for small engineering teams.

Mid-size(21–200 people)

Great fit

Business plan adds SSO and compliance controls for growing teams. Consider Datadog if infrastructure observability (servers, containers, databases) is equally important.

Large org(201–1,000+)

Good fit

Enterprise Sentry handles large-scale event volumes with custom retention and SLA. Large orgs often run Sentry alongside Datadog — Sentry for application errors, Datadog for infrastructure.