Workloads — Workload placement
While standard workload resources (like Deployments and Jobs) manage the lifecycle of Pods, you may have complex scheduling requirements where groups of Pods must be treated as a single unit.
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While standard workload resources (like Deployments and Jobs) manage the lifecycle of Pods, you may have complex scheduling requirements where groups of Pods must be treated as a single unit.
The Workload API allows you to define PodGroupTemplates to group Pods and apply advanced scheduling policies to them, such as gang scheduling. Controllers create PodGroup objects from these templates at runtime, and Pods reference their PodGroup via the spec.schedulingGroup field. This is particularly useful for batch processing and machine learning workloads where "all-or-nothing" placement is required.
Attribution: Adapted from Kubernetes Documentation under CC-BY-4.0. Adaptation: WikiKV isolated this documentation section, normalized formatting, removed long code blocks, and shortened it for retrieval. Verify version-sensitive details at the source.
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Kubernetes Documentation — content/en/docs/concepts/workloads/_index.md :: Workload placement ↗Revision 6449f1eced66 · CC-BY-4.0