sentry-setup-metrics

Custom metrics tracking requires configuring your Sentry SDK (JavaScript 10.25.0+ or Python 2.44.0+) with metrics support enabled. Add initialization code to your project, then instrument counters, gauges, or distributions using the metrics API to track application performance and business KPIs.

Sentry supports three metric types: counters (increment-only tallies), gauges (point-in-time measurements), and distributions (value collections for percentile analysis). Each type serves different observability needs—counters for event counts, gauges for resource levels, distributions for latency or request sizes.

Yes. Sentry metrics work across JavaScript/TypeScript frameworks (Next.js, React, browser, Node.js) and Python frameworks (Django, Flask, FastAPI). Each platform requires the appropriate Sentry SDK with metrics support and platform-specific initialization.

After instrumenting a metric (like a user_signup counter), navigate to your Sentry metrics dashboard to confirm data arrival. Sample code snippets in the Skill guide you through verification and show expected metric output formats.

Yes. Use the optional beforeSendMetric hook to filter metrics before transmission, and control default metric collection with the enableMetrics configuration flag. This lets you reduce noise and focus on business-critical measurements.

Metrics support requires Sentry JavaScript SDK 10.25.0 or later, and Python SDK 2.44.0 or later. Earlier versions lack the metrics instrumentation APIs and cannot track custom counters, gauges, or distributions.