May 22
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How do companies like Netflix, Uber, Amazon, and Google debug failures across thousands of microservices? What happens when one tiny service slows down and the entire application becomes slow? In this video, we break down one of the most important concepts in modern Distributed Systems: 🔥 Distributed Tracing & Observability You’ll learn: ✅ What is Observability ✅ Logs vs Metrics vs Traces ✅ Distributed Tracing Explained ✅ Request Flow Across Microservices ✅ OpenTelemetry Basics ✅ Jaeger & Zipkin ✅ Monitoring & Alerting ✅ Debugging Latency Issues ✅ Root Cause Analysis ✅ Real-world Production Monitoring Real-world examples included: Netflix microservices Uber request tracing Amazon large-scale systems Kubernetes observability Cloud-native monitoring This video is perfect for: System Design Interview Preparation Backend Engineers DevOps Engineers SRE Learning Distributed Systems Learning FAANG Interviews HLD Preparation Topics Covered: Distributed Tracing Observability Logs Metrics Traces OpenTelemetry Jaeger Zipkin Grafana Prometheus Monitoring Alerting Microservices Debugging If you enjoy deep System Design content, subscribe for more videos on: Distributed Systems Scalability Microservices Kafka Cloud Architecture HLD Interviews FAANG Preparation #SystemDesign #DistributedSystems #Observability #Tracing #Microservices #BackendEngineering #FAANG #HLD