The Kubernetes Machine: From kubectl apply to Running Containers
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The Kubernetes Machine: From kubectl apply to Running Containers
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What really happens when you run kubectl apply?
In Part 1 of this Kubernetes masterclass, we go far beyond basic definitions and trace how Kubernetes works as a distributed, API-driven control system.
You will learn how a YAML manifest moves through kubectl, the API server, authentication, authorization, admission, etcd, controllers, the scheduler, kubelet and the container runtime before finally becoming a running Pod.
This episode also explains the deeper ideas that make Kubernetes work:
- Desired state versus observed state
- Reconciliation loops
- spec versus status
- Watches and events
- Labels and selectors
- ReplicaSets and Deployments
- Scheduling decisions
- Pod lifecycle
- Owner references, finalizers and garbage collection
- Server-side apply and field ownership
By the end of this episode, you will be able to mentally replay the complete journey from user intent to a healthy running workload—and understand which component is responsible at every step.
Mental model:
Intent → Store → Observe → Reconcile
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