Скачать или смотреть Distributed Tracing: Following Requests Across Microservices | Jaeger & Zipkin Tutorial

🔍 Master Distributed Tracing for Microservices!

Learn how to track and debug requests across multiple microservices using distributed tracing. In this comprehensive tutorial, we explore how tools like Jaeger and Zipkin help you identify bottlenecks, spot failures, and trace incident sources in complex distributed systems.

📋 What You'll Learn:
✅ What is distributed tracing and why it matters
✅ Core concepts: traces, spans, and context propagation
✅ Jaeger architecture and components
✅ Zipkin architecture and how it works
✅ How to instrument your code for tracing
✅ Visualizing and analyzing traces effectively
✅ Using traces for incident detection and root cause analysis
✅ Best practices for sampling and performance optimization
✅ Limitations and considerations when implementing tracing

💡 Perfect for developers, DevOps engineers, and SREs working with microservices who want to improve observability and incident management capabilities.

🚀 Whether you're debugging production issues or optimizing system performance, distributed tracing is an essential tool in your observability toolkit. This video breaks down complex concepts into easy-to-understand explanations suitable for beginners.

🎯 Part of our Incident Management Series where we cover essential tools and techniques for maintaining reliable distributed systems.

#DistributedTracing #Microservices #Jaeger #Zipkin #DevOps #Observability #IncidentManagement #SoftwareEngineering #SystemDesign #Debugging #PerformanceOptimization #CloudNative #SRE #Monitoring

Chapters:
00:00 - Distributed Tracing
00:19 - What is Distributed Tracing?
00:43 - The Microservices Problem
01:10 - Core Concepts
01:39 - Jaeger Architecture
02:14 - Zipkin Architecture
02:45 - Instrumenting Your Code
03:13 - Trace Visualization & Analysis
03:44 - Incident Detection & Root Cause
04:13 - Best Practices & Sampling
04:43 - Limitations & Considerations
05:14 - Key Takeaways
05:47 - Outro

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