In this video, we explore distributed tracing using Zipkin, a powerful tool for monitoring and diagnosing the performance of your microservices. We'll start by explaining the importance of distributed tracing in microservices architectures, where tracking requests across multiple services can be challenging.
You'll learn how to set up Zipkin to capture and visualize traces, giving you insights into latency issues, bottlenecks, and the overall health of your distributed system. We’ll walk through the process of integrating Zipkin with Spring Boot applications and demonstrate how to analyze trace data to improve performance and reliability.
Github Link: https://github.com/shameed1910/Micros...
By the end of this video, you’ll have a comprehensive understanding of how to use Zipkin for distributed tracing, enabling you to monitor, troubleshoot, and optimize your microservices effectively.
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Spring Boot with Angular : • Spring Boot + Angular
Spring Boot with Docker & Docker Compose : • Spring Boot Docker & Docker Compose
Spring Boot with Kubernetes : • Spring Boot Docker Kubernetes
Spring Boot with AWS : • Spring Boot + AWS
Spring Boot with Azure : • Spring Boot Azure
Spring Data with Redis : • Spring Data with Redis
Spring Boot with Apache Kafka : • Apache kafka
Spring Boot with Resilience4J : • SpringBoot Resilience4j