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In the latest version of Kubernetes 1.26, there is an exciting new feature: the Alpha API for dynamic resource allocation. This feature allows developers to request resources more flexibly and specifically. The extension is a generalization of the API for persistent storage and opens up new possibilities in handling resources in containers.
Dynamic resource allocation allows the same resource instance to be used across different Pods and containers. Additionally, specific constraints can be attached to resource requests to obtain exactly the resources needed. This significantly improves resource efficiency and utilization.
To enable the new feature, the DynamicResourceAllocation Feature Gates as well as the resource.k8s.io/v1alpha1 API group must be activated. It is important that the kube-scheduler, kube-controller-manager, and kubelet also adopt this setting.
One example of how the new API can be used is the creation of ResourceClass, ResourceClaim, and ResourceClaimTemplate. These new types allow specific resource requirements to be defined and managed. Here is a simple example of how to define a ResourceClass:
apiVersion: resource.k8s.io/v1alpha1
kind: ResourceClass
name: resource.example.com
parameters:
exampleParam: value
By using ResourceClaim, specific resource instances can be requested. For a Pod definition, this might look like:
apiVersion: v1
kind: Pod
metadata:
name: my-pod
spec:
resourceClaims:
- name: my-resource-claim
resourceClassName: resource.example.com
containers:
- name: my-container
image: my-image
resources:
claims:
- my-resource-claim
In this example, a resource request is created that can be used by a container in a Pod. This enables resource sharing between containers, which is particularly advantageous in complex applications.
The introduction of this dynamic resource allocation is a significant step for Kubernetes users. ayedo supports companies in using Kubernetes efficiently and implementing the benefits of these new features. Take advantage of the possibilities offered by the latest version of Kubernetes to make your container applications even more powerful.
Source: Kubernetes Blog
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