In this episode, part of our Kubernetes series,
Henrik Rexed @HenrikRexed explores diagnosing and resolving issues within your Kubernetes (k8s) cluster.
When operating workloads in Kubernetes, you're bound to encounter a variety of issues, including:
* Workload-related issues: Problems stemming from your deployments or resource configurations.
* Networking issues: Scenarios where your application is unreachable or unresponsive.
* Core component issues: Challenges with Kubernetes core components.
What You'll Learn:
* How to identify and troubleshoot workload-related issues.
* Strategies for resolving network-related problems.
* Diagnosing and fixing issues with Kubernetes core components.
* Exploring new observability aspects to enhance your troubleshooting process.
We’ll start by looking at common workload issues, move on to potential network problems, cover core Kubernetes component challenges, and delve into advanced observability techniques.
Key Topics Covered:
* The lifecycle of a Kubernetes deployment.
* How to interpret Kubernetes events and logs.
* Understanding exit codes and their meanings.
* Effective use of kubectl commands for troubleshooting.
* Networking basics in Kubernetes, including services, endpoints, and ingress rules.
* Core Kubernetes components: API server, etcd, kubelet, and kube-proxy.
* Observability best practices and tools for Kubernetes.
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📖 Chapters 📖
00:00 Welcome
02:02 Diagnosing workload issues
09:14 Troubleshooting network problems
15:07 Tackling K8s core issues
17:36 The role of observability
21:52 Conclusion and final thoughts
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🔗 Additional Links
K8S event receiver
K8s Cluster receiver
K8S Object receiver
Github tutorial
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