Java Metrics Observability with Micrometer

Implement effective Java metrics instrumentation with Micrometer by defining meaningful service-level metrics, controlling cardinality, selecting the right meter type, and exposing production-ready telemetry for dashboards and alerting.

What is covered in this Skill?

• Metrics-first observability with Micrometer in Java applications
• Meter selection: Counter, Timer, DistributionSummary, Gauge, LongTaskTimer
• Naming and tagging conventions with low-cardinality dimensions
• Cardinality and meter lifecycle safeguards to prevent time-series explosion
• Histogram/percentile strategy and SLO-oriented metrics design
• Integration guidance for Actuator + Prometheus/OpenTelemetry pipelines
• Testing and verification of metrics registration and values

Scope: Application-level metrics design and instrumentation quality for Java services, with emphasis on operationally useful and cost-efficient telemetry.

Constraints

Metrics instrumentation must be operationally safe, low-cardinality, and validated. Poor tag design or excessive meter creation can degrade observability systems and increase costs.