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Kubernetes scheduler

The Kubernetes scheduler is a control-plane component that assigns unscheduled Pods to suitable nodes according to resource requirements and scheduling constraints.

How 2 Manning books explain it

Acing the Certified Kubernetes Administrator Exam, Second Edition

The Kubernetes control-plane component that selects suitable nodes for running pods according to resources and placement rules.

How it is used
Assigns application pods to nodes and guides node-placement tasks and Pending-pod troubleshooting.
How deep it goes
Explains resource-aware placement through a node-selector exercise and failure diagnosis, without detailing the scheduler’s selection algorithm.
Examples
Uses an SSD-labeled worker-node exercise and a scaled Deployment whose new pods remain Pending after scheduler failure.
What you can do after
Practice/perform label-based pod placement, verify the assigned node with kubectl, and diagnose scheduler failures using logs and manifests.

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Google Anthos in Action

The Kubernetes scheduler selects suitable nodes for newly created pods according to resource availability and scheduling constraints.

How it is used
Explains how Kubernetes places Pods on worker nodes and how deployments constrain that placement.
How deep it goes
Describes API-server interaction, node filtering, scoring, and failure conditions, but defers custom-scheduler implementation.
Examples
Uses an nginx Pod manifest naming custom-scheduler1 and discusses unschedulable Pods caused by unmet resources or constraints.
What you can do after
Operate/configure workloads with selectors, affinity, taints, tolerations, anti-affinity, or a named custom scheduler.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.