Spring Boot 3 Observability Baked‑In — Design Review Checklist

Understanding your current monitoring backend capabilities (Prometheus, Grafana, Elastic Observability, Datadog, etc.) helps tailor configuration.

Hands-on Steps

1. Enable Core Observability Features

Spring Boot 3 comes with observability auto-configuration enabled by default. Verify in application.properties or application.yml that you have no conflicting settings.

management:
  metrics:
    enabled: true
  tracing:
    enabled: true
  observability:
    enabled: true

2. Configure Micrometer Registries

Configure your metrics registry explicitly if necessary (e.g., Prometheus). Add dependencies for the registry and expose the actuator endpoints.

<dependency>
  <groupId>io.micrometer</groupId>
  <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>

<dependency>
  <groupId>org.springframework.boot</groupId>
  <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>

And expose endpoints:

management:
  endpoints:
    web:
      exposure:
        include: health,info,prometheus,traces

3. Use Annotations for Custom Metrics and Tracing

Leverage @Timed for measuring execution times and @Observed (a stable feature from Spring Boot 3) for captured spans and enhanced traceability.

@Timed(value = "service.process.time", description = "Time spent processing service method")
public void process() {
  // business logic here
}

@Observed(name = "repository.query", lowCardinalityKeyValues = {"type", "select"})
public List<Entity> query() {
  // query logic here
}

This removes reliance on manual timer or span management and integrates seamlessly with OpenTelemetry exporters.

4. Integrate OpenTelemetry Collector Exporters

Configure exporting traces and metrics to OpenTelemetry Collector or backend-specific agents in application.yml:

management:
  metrics:
    export:
      prometheus:
        enabled: true
  tracing:
    exporter:
      otlp:
        enabled: true
        endpoint: http://otel-collector:4317

When to choose OpenTelemetry vs Micrometer-native exporters?

• OpenTelemetry — preferred for holistic observability including traces, logs, and metrics, especially in polyglot/multi-service architectures.
• Micrometer-native — simpler, direct Micrometer to Prometheus/Grafana pipelines, good for metrics-only use cases or legacy systems.

Common Pitfalls

• Missing endpoint exposure: Metrics or tracing endpoints not exposed in production due to default security or configuration.
• High-cardinality labels: Using unbounded values in tags (e.g., user IDs, UUIDs) can degrade performance and overwhelm backend storage.
• Ignoring context propagation: Distributed tracing won’t work without configuring proper context propagation libraries and ensuring HTTP (or messaging) contexts propagate trace IDs.
• Over-instrumentation: Excessive or unnecessary timers and spans add noise and overhead rather than clarity.
• Using preview features: From Spring Boot 3 onwards, some features (e.g., @TimedLong) may remain preview; production use requires caution.

Validation

Validate implementation via these steps:

1. Access actuator endpoints: Verify /actuator/prometheus and /actuator/traces respond correctly.
2. Check metrics format: Prometheus scrape output should contain expected metric names and tags.
3. Run distributed trace test: Using tools like Jaeger UI or vendor dashboard, confirm spans propagate end-to-end across your services.
4. Load test to verify overhead: Observe CPU and memory to ensure observability instrumentation does not cause significant pressure.

Checklist / TL;DR

• ✔ Verify Spring Boot 3.0+ and Micrometer 1.10+ dependencies.
• ✔ Enable management observability and tracing in application.yml.
• ✔ Include proper Micrometer registry dependencies for your metrics backend.
• ✔ Apply @Timed and @Observed annotations on critical methods.
• ✔ Configure OpenTelemetry exporters if cross-service tracing or multiple signal types desired.
• ✔ Avoid high-cardinality tag values; prefer low-cardinality tag keys.
• ✔ Expose relevant actuator endpoints securely.
• ✔ Test scraping, tracing UI, and performance under load.

References

• Spring Boot Observability Reference Guide
• Micrometer Metrics Library Documentation
• OpenTelemetry Java Instrumentation Docs
• Spring Boot Actuator Endpoints Configuration
• Spring Blog: Lessons from Spring Boot 3.0

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