OpenTelemetry starter in Spring Boot 4.x for easier observability

Observability setup used to be one of the most repetitive parts of service development. Many teams had to wire tracing and metrics with custom dependency combinations and service-specific configuration. Spring Boot 4.x improves this by adding a dedicated OpenTelemetry starter, so setup becomes simpler and more consistent.

Table of contents

The problem with older versions (Spring Boot 3.x and earlier)

In older projects, teams usually built telemetry setup piece by piece. That approach worked, but it introduced avoidable complexity.

Dependency setup was manual and error-prone

You often had to combine multiple libraries for traces, metrics, exporters, and instrumentation support. Missing one dependency could silently remove telemetry from production dashboards.

Configuration varied across services

Different teams used different names, endpoints, and export settings. When incidents happened, comparing telemetry across services became difficult.

New engineers spent time on plumbing first

Instead of focusing on business logic, developers first had to understand tracing internals, exporters, and configuration rules. This slowed down onboarding.

Important: Inconsistent telemetry setup across services makes production troubleshooting much slower during outages.

What Spring Boot 4.x changes

Spring Boot 4.x introduces a dedicated OpenTelemetry starter so you can standardize observability setup with less custom wiring.

Add one starter dependency

Use the new starter instead of manually combining telemetry libraries.

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

Configure export endpoints in one place

Keep tracing and metrics export settings together in application configuration.

management.otlp.tracing.endpoint=http://localhost:4318/v1/traces
management.otlp.metrics.export.url=http://localhost:4318/v1/metrics
management.tracing.sampling.probability=1.0

Keep instrumentation close to business flow

You can annotate important service methods and get cleaner trace spans around business operations.

@Service
class PaymentService {

    @Observed(name = "payment.process")
    public PaymentResult process(PaymentRequest request) {
        // business logic
        return PaymentResult.success();
    }
}

record PaymentRequest(String orderId, double amount) {}
record PaymentResult(boolean success) {
    static PaymentResult success() {
        return new PaymentResult(true);
    }
}

Tip: Start by instrumenting 3-5 high-traffic endpoints first. This gives fast value without overwhelming dashboards.

Old way vs new way

Practical tips for rollout

1. Use a shared baseline config for all services.
2. Tag traces with service name and environment consistently.
3. Set sampling intentionally for production cost control.
4. Validate telemetry in staging before enabling full production export.

Caution: Sending every trace at 100% sampling in high-volume systems can increase cost and storage quickly.

Migration checklist from older projects

1. Pick one service that already has stable traffic.
2. Replace custom telemetry dependency setup with the Boot 4.x starter.
3. Move exporter settings into centralized service config.
4. Add tracing checks to integration tests or smoke tests.
5. Compare old vs new telemetry in staging dashboards.
6. Roll out service by service, not all at once.

Note: A starter makes setup easier, but clear naming conventions and dashboard hygiene are still necessary for useful observability.

References

• Spring Boot 4.0 release announcement
• Spring Boot 4.0 release notes
• OpenTelemetry documentation