182-java-observability-metrics-micrometer
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.
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