Spring Boot Skills
GitHub
Operations

Production Observability

Use when adding service-wide Spring Boot 3 Actuator, Micrometer metrics, distributed tracing, OpenTelemetry export, structured logging, health probes, dashboards, or alerts. Combine with ai-observability only for Spring AI-specific token, prompt, and model telemetry.

View SKILL.md

Instrument user-visible operations and operational boundaries, not every method.

Baseline

  • Add Actuator and one metrics registry selected by the deployment platform.
  • Use Micrometer Observation for application metrics and traces.
  • Use Micrometer Tracing with the chosen bridge; do not mix tracing APIs throughout business code.
  • Export through OTLP when the platform standardizes on OpenTelemetry collectors.
  • Expose only required actuator endpoints and secure every non-public endpoint.

Observation conventions

  • Name observations by stable operation, such as orders.create.
  • Keep metric tags low-cardinality: method, outcome, region, or bounded status.
  • Put request IDs, user IDs, order IDs, and exception messages only in traces or logs.
  • Propagate context across @Async, executor, and Reactor boundaries.
  • Record latency, throughput, failures, and saturation for every external dependency.

Health and readiness

  • Keep liveness independent from remote systems so a dependency outage does not restart every pod.
  • Put required dependencies in readiness groups.
  • Write custom health indicators only for dependencies that affect traffic acceptance.
  • Set explicit timeouts on health checks.

Logging and alerts

  • Emit structured logs with trace and span correlation.
  • Redact credentials, tokens, personal data, prompts, and payloads by default.
  • Alert on symptoms tied to service objectives, not raw metric noise.
  • Include runbook links and enough dimensions to identify the affected service and dependency.

Examples

  • See examples/good-observation.java and examples/bad-observation.java.

Gotchas

  • Agent tags metrics with user or entity IDs - this creates unbounded cardinality.
  • Agent exposes every actuator endpoint publicly - expose the minimum and secure it.
  • Agent makes liveness depend on the database - dependency outages then cause restart loops.
  • Agent logs request bodies and tokens for debugging - redact sensitive data before emission.
  • Agent creates spans but loses context in async work - configure context propagation explicitly.
FROM THE REPOSITORY

Examples & templates

bad-observation.javaexamples
Source on GitHub
final class OrderObservation {
    void record(MeterRegistry registry, String userId, String orderId) {
        registry.counter("orders.create", "user", userId, "order", orderId).increment();
    }
}
good-observation.javaexamples
Source on GitHub
import io.micrometer.observation.Observation;
import io.micrometer.observation.ObservationRegistry;

final class OrderObservation {

    private final ObservationRegistry registry;

    OrderObservation(ObservationRegistry registry) {
        this.registry = registry;
    }

    void createOrder(String channel, Runnable operation) {
        Observation.createNotStarted("orders.create", registry)
            .lowCardinalityKeyValue("channel", channel)
            .observe(operation);
    }
}

Verification scope

Compiled sources
No
Runtime checks
No

Coverage describes checked-in fixtures, not a guarantee for every snippet or project.

Coverage matrix & agent evidence
ADD TO YOUR AGENT

Install Boot 3 skills

claude plugin marketplace add rrezartprebreza/spring-boot-skills
claude plugin install spring-boot-3-skills@spring-boot-skills