Integrating distributed tracing systems in Spring Boot projects

Integrating distributed tracing system in Spring Boot project

2024-07-12

Integrating distributed tracing system in Spring Boot project

Hello everyone, I am the editor of Weizhuan Taobao Affiliate System 3.0, and I am also a programmer who doesn’t wear thermal underwear in winter and wants to be graceful even when it’s cold!

In a complex distributed system, locating and solving problems is a challenge. Distributed tracing systems help developers analyze and optimize system performance by tracking the call chain of requests and ensuring coordination and cooperation between services. This article will explore how to integrate distributed tracing systems in Spring Boot projects to improve system observability and troubleshooting capabilities.

1. Integrate distributed tracing system

1.1. Zipkin和Spring Cloud Sleuth

Spring Cloud Sleuth is a distributed tracing solution provided by Spring Cloud. It integrates with open source distributed tracing systems such as Zipkin to track and monitor service call links.

1.2. Introducing Dependencies

In the Spring Boot project, distributed tracing capabilities can be quickly integrated by introducing Spring Cloud Sleuth and Zipkin dependencies.

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-zipkin</artifactId>
</dependency>
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1.3. Configuring the Distributed Tracing System

Configure the address of the Zipkin server in application.properties or application.yml:

spring:
  zipkin:
    base-url: http://localhost:9411 # Zipkin服务器地址
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2. Sample Code

2.1. Create a simple Spring Boot service

package cn.juwatech.tracingsystem;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

@SpringBootApplication
@RestController
public class TraceDemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(TraceDemoApplication.class, args);
    }

    @GetMapping("/hello")
    public String hello() {
        return "Hello, World!";
    }
}
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2.2. Run the service and observe the trace information

After starting the application, visit http://localhost:9411 (the default port of Zipkin) to see the call link information between services.

3. Conclusion

Integrating a distributed tracing system can not only help developers discover and solve potential performance problems and anomalies, but also improve the observability of the system, making the system's operating status clear at a glance. Through the methods introduced in this article, developers can easily integrate a distributed tracing system in a Spring Boot project, adding more transparency and control capabilities to complex distributed architectures.

Weizhuan Taoke System 3.0 is produced by the editor and is a high-quality product. Please indicate the source when reprinting!

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