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Distributed Tracing with Sleuth and Zipkin

Distributed tracing is a technique for understanding the flow of requests as they traverse a microservices architecture. It helps to identify bottlenecks and performance issues, and provides insights into the behavior of individual microservices.

In Spring Cloud, Sleuth and Zipkin are used for distributed tracing. Sleuth is a Spring Cloud library that provides request tracing capabilities, and Zipkin is a distributed tracing system that collects and stores trace information from multiple microservices.

Here's an example in Java to demonstrate Distributed Tracing with Sleuth and Zipkin in Spring Cloud:

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.sleuth.zipkin2.ZipkinProperties;
import org.springframework.context.annotation.Bean;
import zipkin2.Span;
import zipkin2.reporter.AsyncReporter;
import zipkin2.reporter.Sender;
import zipkin2.reporter.okhttp3.OkHttpSender;

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

    @Bean
    public Sender sender() {
        return OkHttpSender.create("http://localhost:9411/api/v2/spans");
    }

    @Bean
    public AsyncReporter<Span> spanReporter() {
        return AsyncReporter.create(sender());
    }
}

In this example, the main class is annotated with @SpringBootApplication, which is used to start the Spring Boot application. The sender() method returns an instance of the OkHttpSender class, which is used to send span information to the Zipkin server. The spanReporter() method returns an instance of the AsyncReporter class, which is used to send span information asynchronously to the Zipkin server.

With this setup, every time a request is made to a microservice in the architecture, Sleuth generates a span that represents the request. The span information is then sent to the Zipkin server, where it is stored and analyzed. With the Zipkin UI, you can view the complete trace of a request, including the timings of each span and the dependencies between microservices.

Note: The above example uses the default configuration to connect to the Zipkin server running on http://localhost:9411. If you have a Zipkin server running on a different host and port, you need to change the URL in the OkHttpSender class accordingly.


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