Spring Boot Observability with TraceKit
Spring Boot makes microservices easy to create but hard to debug. When a request traverses five services and a message queue, TraceKit shows you the entire journey -- from REST controller to JPA query to Kafka consumer.
Spring Boot observability challenges
Common problems that Spring Boot developers face in production -- and how TraceKit solves them.
Microservice Dependency Mapping
Spring Boot makes it trivial to spin up microservices, but understanding how they depend on each other at runtime is another story. TraceKit automatically maps service dependencies from trace data so you see the real topology, not the intended one.
Bean Initialization Overhead
Spring's dependency injection can cause slow startup times as beans are created and autowired. TraceKit traces the initialization chain so you can identify which beans are expensive to create and optimize startup time.
Reactive WebFlux Trace Propagation
Spring WebFlux's reactive model makes traditional trace propagation difficult -- context can be lost between Mono and Flux operators. TraceKit's Java SDK handles reactive context propagation so traces survive the reactive pipeline.
Get started in minutes
Add OpenTelemetry instrumentation to your Spring Boot app with a few lines of code.
// build.gradle
implementation 'io.opentelemetry.instrumentation:opentelemetry-spring-boot-starter'
// application.properties
otel.service.name=my-spring-service
otel.exporter.otlp.endpoint=https://otel.tracekit.dev:4318Java Distributed Tracing Guide
Go deeper with our Java distributed tracing guide -- covering common pain points, production patterns, and code examples.
What you get with TraceKit
Distributed Tracing
Trace requests across Spring Boot services, JPA repositories, Kafka consumers, and REST clients. Full visibility into your microservice architecture.
Live Code Monitoring
Set breakpoints in your Spring controllers and service classes. Inspect bean state, request parameters, and JPA entities in production without restarting the JVM.
Simple Pricing
$29/month flat for your entire Spring Boot cluster. No per-JVM fees, no per-service charges -- monitor every microservice at one price.
Related Resources
Learn distributed tracing patterns and best practices for Java
Error monitoring with stability scoring and release health. See how TraceKit extends beyond error tracking.
Calculate SLA uptime and error budgets for your services
Step-by-step APM implementation checklist covering SDK installation, instrumentation, alerting, and production rollout with OpenTelemetry best practices.
Step-by-step guide to migrate from Datadog to TraceKit. Replace dd-trace with TraceKit SDK, map environment variables, and verify traces in minutes.
Ready to add observability to Spring Boot?
Get started with TraceKit in under 5 minutes. $29/month flat -- no per-host fees, no surprises.