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See also this [example of scaling a Deployment](/docs/concepts/workloads/controllers/deployment/#scaling-a-deployment) in the `Deployment` documentation.
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### Resizing workloads in-place
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Instead of scaling the number of replicas of a workload, you can also adjust the provided resources
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for a particular pod or set of pods, in-place. You do this by patching the entries in one or both of the following
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fields of the `Pod` or [pod template](/docs/concepts/workloads/pods/#pod-templates) you want to resize:
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-`spec.containers[*].resources.requests`
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-`spec.containers[*].resources.limits`
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-[Running multiple instances of your app](/docs/tutorials/kubernetes-basics/scale/scale-intro/)
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-[Resizing CPU and memory resources assigned to containers](/docs/tasks/configure-pod-container/resize-container-resources)
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{{< note >}}
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Resizing a workload in-place **without** restarting the Pods or its Containers requires Kubernetes version 1.27 or later.
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{{< /note >}}
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See also this task about [resizing CPU and memory resources](/docs/tasks/configure-pod-container/resize-container-resources) assigned to Containers.
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## Scaling workloads automatically
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Kubernetes also supports _automatic scaling_ of workloads, which is the focus of this page.
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