Spring Boot Observability

SkillCloud & infra

Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, health checks, custom metrics, distributed tracing, production endpoint exposure, Kubernetes probes, Cloud Run probes, logging, or monitoring. Covers Actuator endpoint security, Micrometer Timer/Counter/Gauge patterns, OpenTelemetry span customization, liveness/readiness probe setup, and metric tag best practices.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Spring Boot Observability skill

What this skill tells your AI

The instructions your AI receives, as published by joaquimscosta/arkhe-claude-plugins in plugins/spring-boot/skills/spring-boot-observability/SKILL.md and read by ahel’s review.

Production observability with Actuator endpoints, Micrometer metrics, and OpenTelemetry tracing.

Core Components

ComponentPurpose
ActuatorHealth checks, info, metrics exposure, operational endpoints
MicrometerMetrics abstraction (Timer, Counter, Gauge, DistributionSummary)
OpenTelemetryDistributed tracing (default in Spring Boot 4)

Core Workflow

  1. Add startersactuator, micrometer-registry-*, opentelemetry
  2. Configure endpoint exposure → Secure sensitive endpoints
  3. Define health groups → Separate liveness from readiness
  4. Add custom metrics → Business-specific measurements
  5. Configure tracing → Sampling, propagation, export

Quick Patterns

See EXAMPLES.md for complete working examples including:

  • Production Actuator Configuration with health groups and Kubernetes probes
  • Custom Health Indicator with latency monitoring (Java + Kotlin)
  • Custom Micrometer Metrics with Counter, Timer, and Gauge patterns
  • OpenTelemetry Span Customization with Observation API
  • OpenTelemetry Configuration for OTLP export
  • Actuator Endpoint Access Control (Boot 4)

Spring Boot 4 Specifics

  • OpenTelemetry is the default tracer (replaces Brave)
  • Health Indicator imports from org.springframework.boot.health.contributor.*
  • Endpoint Access Control with access: none/unrestricted/read-only

Detailed References

Anti-Pattern Checklist

Anti-PatternFix
DB checks in liveness probeMove to readiness group only
100% trace sampling in productionUse 10% or less
Exposing all endpoints publiclySeparate management port + auth
High-cardinality metric tagsUse low-cardinality tags only
Missing graceful shutdownAdd server.shutdown=graceful
No health probe groupsSeparate liveness and readiness

Related Skills

NeedSkill
Dependency validationspring-boot-verify
Actuator securityspring-boot-security
Actuator testingspring-boot-testing
Module metricsspring-boot-modulith

Critical Reminders

  1. Separate liveness from readiness — Liveness: "is process alive?", Readiness: "can handle traffic?"
  2. Low cardinality tags only — User IDs, request IDs = bad; status codes, regions = good
  3. Secure Actuator endpoints — Use separate port or authentication
  4. Sample traces in production — 100% sampling overwhelms collectors
  5. Graceful shutdown — Allow in-flight requests to complete

Signals

GitHub stars
21
Forks
4
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
spring-boot-observability
Source
github.com/joaquimscosta/arkhe-claude-plugins