🎯 What It Is

Observability in Kubernetes = Metrics + Logs + Traces

• Metrics (Prometheus): “How is my system performing?”
• Logs (Loki/Fluentd): “What happened in my app?”
• Traces (Jaeger): “Where is the bottleneck in my request?”

✅ Goal: Detect issues before users do, and debug faster.

💡 Real-World Analogy

Like a car’s dashboard:

• Speedometer = CPU usage (metrics)
• Check engine light = error logs
• GPS route history = request traces

🧪 Why You Need It in Kubernetes

Without observability:

• Pods crash silently
• Apps slow down with no warning
• “It works on my machine” syndrome

With observability:

• Get alerts when CPU > 80%
• Search logs for ERROR across all Pods
• See live dashboards of your cluster health

✅ Core Tools in k3s Ecosystem