Huabing Blog

In this series of liveProjects, you’ll deploy distributed tracing to help an eCommerce company manage its new microservices infrastructure. You’ve just been hired by eShop, a rapidly growing company that adopted microservices due to the flexibility they provide developers. eShop is finding that managing and troubleshooting its ever-increasing number of microservices is a challenge, and so your task is to use distributed tracing to develop a high-level picture of requests across these microservices. You’ll implement distributed tracing using Jaeger, Kubernetes, and Istio. Each liveProject in this series can be tackled individually, or as part of an extended learning experience.

In this post, we will continue to use the eshop demo to explore how asynchronous messaging, specifically Kafka, can be traced in Istio service mesh with the help of Opentracing.

While evolving towards a microservices architecture, the biggest change is that the monolith application has been divided into multiple independent processes(or services), as a result, a method call between software modules now becomes a remote procedure call go through multiple services. A client request usually goes through a couple of or even a dozen of services in a complex microservices system, which makes it really hard to figure out w

本文将接着上一篇继续介绍如何利用OpenTracing来对Kafka异步消息进行跟踪，并将异步消息的跟踪信息加入Istio/Envoy生成的分布式调用跟踪链中进行统一呈现。

本文将介绍如何利用OpenTracing来增强Istio/Envoy缺省的调用链跟踪实现：如何利用Opentracing来实现跨进程边界的分布式调用上下文传递；以及在Istio/Envoy生成的分布式调用跟踪基础上实现方法级的细粒度调用跟踪。