How Scheduling Works in Kubernetes

The Kubernetes scheduler is responsible for placing pods on suitable nodes based on resource availability and scheduling constraints.

Scheduling Process:

Filtering: Removes nodes that can’t run the pod (e.g., insufficient CPU/memory)
Scoring: Assigns a score to the remaining nodes based on policies (e.g., resource usage, affinity rules)
Binding: Scheduler binds the pod to the best-fit node

Scheduler Behavior:

Default scheduler is used unless a custom scheduler is specified
You can create your own scheduler or use multiple schedulers in a cluster

Custom Scheduler Example:

apiVersion: v1
kind: Pod
metadata:
  name: custom-scheduled-pod
spec:
  schedulerName: my-scheduler
  containers:
  - name: app
    image: nginx

Understanding how scheduling decisions are made helps in optimizing workload distribution and performance.

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