spring-boot-actuator

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Provides patterns to configure Spring Boot Actuator for production-grade monitoring, health probes, secured management endpoints, and Micrometer metrics across JVM services. Use when setting up monitoring, health checks, or metrics for Spring Boot applications.

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npx skill4agent add giuseppe-trisciuoglio/developer-kit-claude-code spring-boot-actuator

SKILL.md Content

Spring Boot Actuator Skill

Overview

  • Deliver production-ready observability for Spring Boot services using Actuator endpoints, probes, and Micrometer integration.
  • Standardize health, metrics, and diagnostics configuration while delegating deep reference material to
    references/
    .
  • Support platform requirements for secure operations, SLO reporting, and incident diagnostics.

When to Use

  • Trigger: "enable actuator endpoints" – Bootstrap Actuator for a new or existing Spring Boot service.
  • Trigger: "secure management port" – Apply Spring Security policies to protect management traffic.
  • Trigger: "configure health probes" – Define readiness and liveness groups for orchestrators.
  • Trigger: "export metrics to prometheus" – Wire Micrometer registries and tune metric exposure.
  • Trigger: "debug actuator startup" – Inspect condition evaluations and startup metrics when endpoints are missing or slow.

Instructions

Follow these steps to configure Spring Boot Actuator for production-grade monitoring:

1. Add Actuator Dependency

Include spring-boot-starter-actuator in your build configuration (Maven or Gradle).

2. Expose Required Endpoints

Configure management.endpoints.web.exposure.include property with the specific endpoints you need. Avoid exposing sensitive endpoints like /env, /heapdump in production.

3. Secure Management Traffic

Apply Spring Security to management endpoints using @Configuration class with EndpointRequest matcher. Consider using a dedicated management port for additional isolation.

4. Configure Health Probes

Enable readiness and liveness probes with management.endpoint.health.probes.enabled=true. Create health groups to aggregate relevant indicators.

5. Set Up Metrics Export

Configure Micrometer registry for your monitoring system (Prometheus, OTLP, Wavefront). Add application tags for cross-service correlation.

6. Enable Diagnostic Endpoints

Turn on /actuator/startup, /actuator/conditions, and /actuator/httpexchanges for incident response troubleshooting.

7. Validate Configuration

Test each endpoint is accessible and returns expected data. Verify health checks integrate with your orchestrator (Kubernetes, Cloud Foundry).

Quick Start

  1. Add the starter dependency.
    xml
    <!-- Maven -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-actuator</artifactId>
    </dependency>
    gradle
    // Gradle
    dependencies {
        implementation "org.springframework.boot:spring-boot-starter-actuator"
    }
  2. Restart the service and verify
    /actuator/health
    and
    /actuator/info
    respond with
    200 OK
    .

Implementation Workflow

1. Expose the required endpoints

  • Set
    management.endpoints.web.exposure.include
    to the precise list or
    "*"
    for internal deployments.
  • Adjust
    management.endpoints.web.base-path
    (e.g.,
    /management
    ) when the default
    /actuator
    conflicts with routing.
  • Review detailed endpoint semantics in
    references/endpoint-reference.md
    .

2. Secure management traffic

  • Apply an isolated
    SecurityFilterChain
    using
    EndpointRequest.toAnyEndpoint()
    with role-based rules.
  • Combine
    management.server.port
    with firewall controls or service mesh policies for operator-only access.
  • Keep
    /actuator/health/**
    publicly accessible only when required; otherwise enforce authentication.

3. Configure health probes

  • Enable
    management.endpoint.health.probes.enabled=true
    for
    /health/liveness
    and
    /health/readiness
    .
  • Group indicators via
    management.endpoint.health.group.*
    to match platform expectations.
  • Implement custom indicators by extending
    HealthIndicator
    or
    ReactiveHealthContributor
    ; sample implementations live in
    references/examples.md#custom-health-indicator
    .

4. Publish metrics and traces

  • Activate Micrometer exporters (Prometheus, OTLP, Wavefront, StatsD) via
    management.metrics.export.*
    .
  • Apply
    MeterRegistryCustomizer
    beans to add
    application
    ,
    environment
    , and business tags for observability correlation.
  • Surface HTTP request metrics with
    server.observation.*
    configuration when using Spring Boot 3.2+.

5. Enable diagnostics tooling

  • Turn on
    /actuator/startup
    (Spring Boot 3.5+) and
    /actuator/conditions
    during incident response to inspect auto-configuration decisions.
  • Register an
    HttpExchangeRepository
    (e.g.,
    InMemoryHttpExchangeRepository
    ) before enabling
    /actuator/httpexchanges
    for request auditing.
  • Consult
    references/official-actuator-docs.md
    for endpoint behaviors and limits.

Examples

Basic – Expose health and info safely

yaml
management:
  endpoints:
    web:
      exposure:
        include: "health,info"
  endpoint:
    health:
      show-details: never

Intermediate – Readiness group with custom indicator

java
@Component
public class PaymentsGatewayHealth implements HealthIndicator {

    private final PaymentsClient client;

    public PaymentsGatewayHealth(PaymentsClient client) {
        this.client = client;
    }

    @Override
    public Health health() {
        boolean reachable = client.ping();
        return reachable ? Health.up().withDetail("latencyMs", client.latency()).build()
                         : Health.down().withDetail("error", "Gateway timeout").build();
    }
}
yaml
management:
  endpoint:
    health:
      probes:
        enabled: true
      group:
        readiness:
          include: "readinessState,db,paymentsGateway"
          show-details: always

Advanced – Dedicated management port with Prometheus export

yaml
management:
  server:
    port: 9091
    ssl:
      enabled: true
  endpoints:
    web:
      exposure:
        include: "health,info,metrics,prometheus"
      base-path: "/management"
  metrics:
    export:
      prometheus:
        descriptions: true
        step: 30s
  endpoint:
    health:
      show-details: when-authorized
      roles: "ENDPOINT_ADMIN"
java
@Configuration
public class ActuatorSecurityConfig {

    @Bean
    SecurityFilterChain actuatorChain(HttpSecurity http) throws Exception {
        http.securityMatcher(EndpointRequest.toAnyEndpoint())
            .authorizeHttpRequests(c -> c
                .requestMatchers(EndpointRequest.to("health")).permitAll()
                .anyRequest().hasRole("ENDPOINT_ADMIN"))
            .httpBasic(Customizer.withDefaults());
        return http.build();
    }
}
More end-to-end samples are available in
references/examples.md
.

Best Practices

  • Keep SKILL.md concise and rely on
    references/
    for verbose documentation to conserve context.
  • Apply the principle of least privilege: expose only required endpoints and restrict sensitive ones.
  • Use immutable configuration via profile-specific YAML to align environments.
  • Monitor actuator traffic separately to detect scraping abuse or brute-force attempts.
  • Automate regression checks by scripting
    curl
    probes in CI/CD pipelines.

Constraints and Warnings

  • Avoid exposing
    /actuator/env
    ,
    /actuator/configprops
    ,
    /actuator/logfile
    , and
    /actuator/heapdump
    on public networks.
  • Do not ship custom health indicators that block event loop threads or exceed 250 ms unless absolutely necessary.
  • Ensure Actuator metrics exporters run on supported Micrometer registries; unsupported exporters require custom registry beans.
  • Maintain compatibility with Spring Boot 3.5.x conventions; older versions may lack probes and observation features.
  • Never expose actuator endpoints without authentication in production environments.
  • Health indicators should not perform expensive operations that could impact application performance.
  • Be cautious with
    /actuator/beans
    and
    /actuator/mappings
    as they reveal internal application structure.

Reference Materials

  • Endpoint quick reference
  • Implementation examples
  • Official documentation extract
  • Auditing with Actuator
  • Cloud Foundry integration
  • Enabling Actuator features
  • HTTP exchange recording
  • JMX exposure
  • Monitoring and metrics
  • Logging configuration
  • Metrics exporters
  • Observability with Micrometer
  • Process and Monitoring
  • Tracing
  • Scripts directory (
    scripts/
    ) reserved for future automation; no runtime dependencies today.

Validation Checklist

  • Confirm
    mvn spring-boot:run
    or
    ./gradlew bootRun
    exposes expected endpoints under
    /actuator
    (or custom base path).
  • Verify
    /actuator/health/readiness
    returns
    UP
    with all mandatory components before promoting to production.
  • Scrape
    /actuator/metrics
    or
    /actuator/prometheus
    to ensure required meters (
    http.server.requests
    ,
    jvm.memory.used
    ) are present.
  • Run security scans to validate only intended ports and endpoints are reachable from outside the trusted network.