Metrics Monitoring

Why Metrics Monitoring Matters

Spring Boot Micrometer provides production metrics (JVM memory, HTTP requests, database connections) with Prometheus integration. In production systems requiring SLO monitoring (99.9% availability, <100ms p95 latency), Micrometer collects and exports metrics automatically—enabling Grafana dashboards and PagerDuty alerts without manual instrumentation.

Problem: Manual metrics collection requires custom counters, gauges, and export logic.

Solution: Micrometer auto-configuration with Prometheus endpoint (/actuator/prometheus).

Implementation Example

// Implementation details for metrics-monitoring
// See full guide for comprehensive examples

Production Configuration

management:
  metrics:
    export:
      prometheus:
        enabled: true # => Enable Prometheus format
  endpoints:
    web:
      exposure:
        include: prometheus # => Expose /actuator/prometheus

Production Patterns

Best Practices:

• Follow Spring Boot conventions
• Test in staging before production
• Monitor metrics and health checks
• Use environment-specific configuration

Trade-offs

Production recommendation: Use Spring Boot auto-configuration as default. Manual configuration only for edge cases.

Next Steps

• See related in-the-field guides for comprehensive production patterns