Apr 30
Loading video player...
Ever wondered what actually happens behind the scenes when you run kubectl apply? Understanding the internal workflow of Kubernetes is the crucial first step to mastering troubleshooting and aceing your next technical interview. In this video, we kick off Day 1 of our 30 days Kubernetes interview clearance challenge. We dive deep into the lifecycle of a deployment request, starting from the moment you hit enter on your terminal. You will learn how the API Server acts as the central hub, validating your YAML files and checking permissions through Role based Access Control before any changes are made to the cluster. We also explore the critical roles played by other control plane components. From the etcd database storing your cluster state to the Controller Manager ensuring your desired state is met, and the Scheduler making intelligent decisions on where to place your pods based on CPU, memory, and affinity rules. Finally, we look at how the Kubelet on the worker nodes brings everything to life by pulling images and starting containers. Whether you are preparing for a job interview or just want to understand the inner workings of your cluster, this breakdown provides the clarity you need to troubleshoot issues with confidence. We also cover essential commands like kubectl get pods and kubectl describe to help you observe events in real time and find the root cause of errors. Chapters 0:00 Introduction to the 30 Day Kubernetes Challenge 0:25 The Role of the API Server and Authentication 0:55 Storing State in the etcd Database 1:10 Controller Manager and Resource Creation 1:35 How the Scheduler Selects Nodes 2:00 Kubelet and Container Runtime Operations 2:35 Essential Kubectl Commands for Troubleshooting 3:00 Full Workflow Summary and Next Steps Make sure to subscribe and hit the notification bell so you do not miss Day 2 of our troubleshooting series. Let us master Kubernetes together one day at a time. #kubernetes #devops #cloudnative #k8s #interviewprep