What are the common pitfalls and mistakes to avoid when using Jaeger for tracing and root cause analysis?
Jaeger is a popular open source tool for distributed tracing and root cause analysis in microservices and cloud-native applications. It helps you monitor, visualize, and troubleshoot the performance and behavior of your service interactions. However, like any tool, Jaeger has some limitations and challenges that you need to be aware of and avoid when using it. In this article, we will discuss some of the common pitfalls and mistakes that can affect your Jaeger implementation and how to overcome them.
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