Production Kubernetes Troubleshooting Lab
Observability, Incident Response & Root-Cause Analysis Scenario: You are the DevOps/SRE on-call team for an e-commerce company. Architecture: CUSTOMER │ ▼ order-service │ ▼ Service │ ┌─────────┼─────────┐ ▼ ▼ ▼ Pod-1 Pod-2 Pod-3 │ ▼ Dependencies Today we will deliberately create these incidents: INCIDENT 1 → New deployment → CrashLoopBackOff → Rollback INCIDENT 2 → Production slow → High traffic…
In this Production Kubernetes Troubleshooting Lab, participants act as DevOps/SRE for an e-commerce company. The architecture consists of a customer namespace, order-service, and pod-1, pod-2, and pod-3. The incidents to be created deliberately are a new deployment causing CrashLoopBackOff and Rollback, production slowdown due to high traffic and CPU usage, running pods but unavailability of the application due to Service selector issue, running 0/1 pods due to readiness failure, OOMKilled due to memory investigation, and application dependency problem.
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