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Application Monitoring Pattern

Monitor application health and debug production issues with OpenTelemetry tracing, Prometheus metrics, Sentry error tracking, and structured logging.

What's Included#

  • OpenTelemetry SDK setup with auto-instrumentation and OTLP trace export
  • Custom Prometheus metrics for HTTP requests, durations, and business events
  • Sentry integration for error tracking with session replay and breadcrumbs
  • Health check endpoints for database, Redis, and Kubernetes liveness/readiness probes
  • Request tracing middleware with correlation IDs across services
  • Structured JSON logging with level-based output and production log aggregation

Usage#

Via CLI#

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Via AI Assistant#

Ask your AI assistant:

  • "Use the application monitoring pattern from Bootspring"
  • "Apply the Bootspring monitoring pattern to my project"

Key Considerations#

  • Use correlation IDs on every request to trace issues across services and log entries
  • Structure logs as JSON in production for easy parsing by log aggregation tools
  • Focus metrics on business-relevant data (signups, payments) not just technical indicators
  • Set alert thresholds that trigger before users notice degradation
  • Sample high-volume traces in production to control costs while maintaining visibility

Related Patterns#