A2oz

What is the difference between Zipkin and Sleuth?

Published in Software Engineering 2 mins read

Understanding the Roles

Zipkin and Sleuth are both valuable tools for distributed tracing, but they serve different purposes.

  • Zipkin is a distributed tracing system. It collects and stores data about requests as they travel through different services in a microservices architecture. This data helps developers understand how requests are flowing, identify bottlenecks, and troubleshoot issues.

  • Sleuth is a Spring Cloud library that integrates with Zipkin. Sleuth adds instrumentation to Spring Boot applications, enabling them to send trace data to Zipkin. It also provides tools for managing and analyzing traces within the Spring ecosystem.

Key Differences

Here's a breakdown of the key differences:

  • Purpose: Zipkin is a standalone system for collecting and analyzing trace data, while Sleuth is a library that facilitates integration with Zipkin for Spring Boot applications.
  • Functionality: Zipkin handles data collection, storage, and visualization, while Sleuth provides tracing instrumentation and management within the Spring framework.
  • Standalone vs. Library: Zipkin is a standalone system that can be deployed independently, while Sleuth is a library that requires integration with a Spring Boot application.

Practical Insights

Imagine a microservices application where a user's request travels through multiple services before reaching its destination. Sleuth, integrated with your Spring Boot applications, would instrument each service, capturing information about the request as it progresses. This data, like timestamps, service names, and request IDs, would then be sent to Zipkin. Zipkin would then store and visualize this data, providing a comprehensive view of the request's journey through the entire system.

Example

Let's say you're trying to debug a slow-performing API call. Sleuth and Zipkin can help you pinpoint the bottleneck. By analyzing the trace data in Zipkin, you can identify the specific service that's causing the delay and investigate further to optimize its performance.

Conclusion

In essence, Zipkin is the data storage and analysis engine, while Sleuth is the bridge that connects Spring Boot applications to Zipkin, enabling them to participate in distributed tracing.

Related Articles