AgentofHeart
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Certified Kubernetes Administrator (CKA): Troubleshooting Workloads, Services, and Resource Usage
Released 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 1h 19m 26s | Size: 205.5 MB
First, you'll master container output analysis. You'll read kubectl logs for single-container and multi-container pods, understand container states (Waiting, Running, Terminated) and their failure reasons (CrashLoopBackOff, ImagePullBackOff, OOMKilled, CreateContainerConfigError). You'll diagnose init container failures and use kubectl describe pod to correlate events with failures.[Exam: Manage and evaluate container output streams]
Next, you'll troubleshoot services and networking systematically. You'll diagnose service selector mismatches that leave endpoints empty, trace targetPort misconfiguration, understand how NetworkPolicy blocks traffic, detect DNS resolution failures in CoreDNS, and fix Ingress backend misconfigurations. You'll follow the complete connectivity debugging pattern: does the pod exist; does the service have endpoints; can the pod reach the service IP; is NetworkPolicy blocking it; does DNS work.[Exam: Troubleshoot services and networking]
Finally, you'll explore the new ephemeral containers and native sidecar container debugging features. kubectl debug lets you attach an ephemeral container to a running pod without redeploying it; this is essential for debugging distroless containers where there's no shell. kubectl debug -copy-to creates a copy of a pod with a debug container attached. Native sidecar containers, introduced in Feb 2025, let you add persistent debug sidecars that restart with the pod. You'll build the pattern: distroless pod breaks; attach an ephemeral container; investigate from inside; fix the issue.[Exam: Apply ephemeral containers and native sidecar patterns to debug running workloads without redeployment]
When you're finished with this course, you'll have the complete troubleshooting skillset needed to diagnose and repair workload and networking failures on production Kubernetes clusters, handle all 5 competencies in the 30% Troubleshooting domain on the CKA exam, and debug modern containerized applications including distroless containers that would have been impossible to troubleshoot just a few years ago.
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