Application Observability

Traditional observability gives you more to accumulate: more dashboards, more silos, more tabs. Sentry connects errors, traces, logs, replays, and application metrics into workflows and issues so you can actually fix things faster.

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Tolerated by 4 million developers

Trace your entire stack

Stop switching tools

Catch issues early

Trace requests across your entire stack

From browser to database, in one view

Modern applications span dozens of services, queues, and databases. Sentry's distributed tracing follows requests end-to-end so you can pinpoint exactly where slowdowns and failures originate. It works across frontend, backend, mobile, and AI agents running inside your app.

Explore distributed tracing

One place for errors, traces, logs, replays, and metrics

Stop copying trace IDs between tools

Logs, errors, traces, and metrics usually live in separate panes that don't talk to each other. Sentry connects all of these signals, including high-cardinality application metrics that link back to traces, so you can go from symptom to root cause in one place. You can also send existing logs to Sentry via log drains, so your whole team is looking at the same data.

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Catch issues before users report them

Detect regressions at deploy time

Sentry detects regressions the moment they appear, not when a customer opens a support ticket. Anomaly detection surfaces latency spikes and error rate changes without manual threshold configuration. Performance Insights automatically finds N+1 queries, slow database calls, and render-blocking operations, ranked by user impact.

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Cookbook recipes

Adopt structured logging for faster debugging

Replace noisy console.log and print statements with structured, queryable log events in Sentry using stable event names, dot-notated keys, and request context.

Replace console.log with structured, trace-connected logging using LogTape and Sentry

Set up LogTape with Sentry to replace console.log with structured, trace-connected logging. Query, alert on, and debug production issues with high-cardinality log data.

Build a dashboard and alert from custom metrics in a Next.js app

Emit a custom metric from your Next.js app, build a dashboard around it, and add a threshold or anomaly-detection alert that fires the moment it drifts.

Monitor Neon Functions with Sentry

Add error tracking, structured logs, request tracing, and AI agent observability to your Neon Functions using the Sentry Node SDK.

Set up a monitor and alert from a Supabase log drain

Drain Supabase logs into Sentry, filter by severity and message, then create threshold monitors and alerts that notify your team when patterns change.

Traditional observability

Separate tools for errors, traces, logs, and metrics.
Requires agents, sidecars, and complex configuration.
Dashboards show metrics, not where the problem is in your code.
Threshold-based alerts that require manual tuning.
Pricing scales with data volume in ways that are hard to predict.

Observability with Sentry

Errors, traces, logs, replays, and high-cardinality application metrics connected in one workflow.
SDK-based setup. Install and go, no infrastructure to manage.
Every issue and every metric links to the exact function, file, and commit.
Anomaly detection with no manual threshold configuration.
Transparent, predictable pricing with a generous free tier.

"Sentry helps us bridge the gap between what the server sees and what the user feels. During any major incident, Sentry is the first thing we look at."

Vaidas Zlotkus

Director of Engineering

Flo Health

Sentry helped Flo Health achieve

50%

faster key transactions

99.9%+

crash-free sessions across 100M+ users

50+

backend deploys per day with full visibility