#运行时动态调整pod资源
##1.控制平面组件特性门控
编辑如下路径 /etc/kubernetes/manifests/ 的kube-apiserver.yaml, kube-controller-manager.yaml, kube-scheduler.yaml配置文件，在各自容器启动命令行参数添加配置项:
- --feature gates=InPlacePodVerticalScaling=true
##2.kubelet 组件特性门控
配置/var/lib/kubelet/config.yaml，加入featureGates：
apiVersion: kubelet.config.k8s.io/v1beta1
featureGates:
InPlacePodVerticalScaling: true
修改 configmap 形式的 kubelet 配置，featureGates同上：
kubectl -n kube-system edit configmaps kubelet-config
##3.kubeproxy 组件特性门控
# kubectl -n kube-system edit configmaps kube-proxy
apiVersion: kubeproxy.config.k8s.io/v1alpha1
featureGates:
InPlacePodVerticalScaling: true
##4.进行验证
创建一个pod资源
nginx.yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx
namespace: default
spec:
containers:
- name: nginx
image: nginx
resizePolicy:
- resourceName: cpu
restartPolicy: NotRequired
- resourceName: memory
restartPolicy: NotRequired
resources:
limits:
memory: "200Mi"
cpu: "700m"
requests:
memory: "200Mi"
cpu: "700m"
通过kubectl apply -f nginx.yaml创建后，通过执行patch命令，实现对pod资源动态调整：
0.7cpu->0.6cpu:
kubectl patch pod nginx --patch '{"spec":{"containers":[{"name":"nginx", "resources":{"requests":{"cpu":"600m"}, "limits":{"cpu":"600m"}}}]}}'
200Mi->500Mi:
kubectl patch pod nginx --patch '{ "spec" :{ "containers" :[{ "name" : "nginx" , "resources" :{"requests":{"memory":"500Mi"}, "limits" :{ "memory" : "500Mi" }}}]} }'
当未进行配置时，patch时可能会出现如下情况：
注意该项特性k8s版本要求1.27以上