Troubleshooting Kubernetes Applications: A Comprehensive Guide

In this episode, part of our Kubernetes series, we explore 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. Enjoyed the episode? Don’t forget to like, subscribe, and hit the notification bell to stay updated on our latest content! 🔗 Additional Links K8S event receiver: https://github.com/open-telemetry/ope... K8s Cluster receiver : https://github.com/open-telemetry/ope... K8S Object receiver :https://github.com/open-telemetry/ope... GitHub tutorial: https://dt-url.net/itobservable-troub... Read the full blog post about troubleshooting Kubernetes issues on my blog: https://isitobservable.io/observabili... Trial: https://bit.ly/3KxWDvY 📖 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 ----------------------------- 🔬 Want more about tools that the cloud-native pros use? Check out the full list of my favs over here on this YouTube playlist:    • OpenTelemetry   Check out ALL my observability secrets, tips, and tricks in my blog: https://isitobservable.io/ 👉✅ Stay connected with me! Twitter:   / isitobservable   LinkedIn:   / isitobservable   IsItObservable is powered by Dynatrace’s own developer relations team. Subscribe to get observability reviews, tips and tricks, and tutorials tested by cloud-native experts. I review, test, and share results to help you succeed with platform engineering and observability.