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sentry-observability

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Repository last updated: Nov 12, 2026
License: MIT

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ai Repository topic
automation Repository topic
claude-code Repository topic
devops Repository topic
mcp Repository topic
ai-agents Repository topic
anthropic Repository topic
claude-code-plugins Repository topic
developer-tools Repository topic
llm Repository topic
saas Declared skill tag
sentry Declared skill tag
observability Declared skill tag
logging Declared skill tag
metrics Declared skill tag
apm Declared skill tag
grafana Declared skill tag
opentelemetry Declared skill tag
engineering Derived category

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# Sentry Observability Integration

## Overview

Wire Sentry into your logging, metrics, APM, and dashboard toolchain so every error carries full context and every metric correlates back to root-cause events. This skill covers three integration layers: structured logging (winston, pino, structlog) with Sentry event ID correlation, business metrics with error-rate tracking, and cross-tool linking via Sentry Discover, Grafana webhooks, and APM tools.

See also: [Logging integration details](references/logging-integration.md) | [Metrics patterns](references/metrics-integration.md) | [APM tool cross-linking](references/apm-tool-integration.md)

## Prerequisites

- Sentry SDK v8+ installed (`@sentry/node` for Node.js, `sentry-sdk` for Python)
- At least one structured logger configured (winston, pino, or structlog)
- Sentry project DSN available in environment (`SENTRY_DSN`)
- Dashboard platform accessible (Sentry Discover, Grafana, or Datadog)
- Alert routing strategy decided (who gets paged, where warnings go)