本文分享自华为云社区《K8s 镜像缓存管理 kube-fledged 认知》，作者： 山河已无恙。
我们知道 k8s 上的容器调度需要在调度的节点行拉取当前容器的镜像，在一些特殊场景中，
-
需要
快速启动和/或扩展的应用程序。例如，由于数据量激增，执行实时数据处理的应用程序需要快速扩展。 - 镜像比较庞大，涉及多个版本，节点存储有限，需要动态清理不需要的镜像
-
无服务器函数通常需要在几分之一秒内立即对传入事件和启动容器做出反应。 -
在边缘设备上运行的
IoT 应用程序，需要容忍边缘设备和镜像镜像仓库之间的间歇性网络连接。 -
如果需要从
专用仓库中拉取镜像，并且无法授予每个人从此镜像仓库拉取镜像的访问权限，则可以在群集的节点上提供镜像。 - 如果集群管理员或操作员需要对应用程序进行升级，并希望事先验证是否可以成功拉取新镜像。
kube-fledged 是一个 kubernetes operator，用于直接在 Kubernetes 集群的 worker 节点上创建和管理容器镜像缓存。它允许用户定义镜像列表以及这些镜像应缓存到哪些工作节点上（即拉取）。因此，应用程序 Pod 几乎可以立即启动，因为不需要从镜像仓库中提取镜像。
kube-fledged 提供了 CRUD API 来管理镜像缓存的生命周期，并支持多个可配置的参数，可以根据自己的需要自定义功能。
Kubernetes 具有内置的镜像垃圾回收机制。节点中的 kubelet 会定期检查磁盘使用率是否达到特定阈值（可通过标志进行配置）。一旦达到这个阈值，kubelet 会自动删除节点中所有未使用的镜像。
需要在建议的解决方案中实现自动和定期刷新机制。如果镜像缓存中的镜像被 kubelet 的 gc 删除，下一个刷新周期会将已删除的镜像拉入镜像缓存中。这可确保镜像缓存是最新的。
设计流程
https://github.com/senthilrch/kube-fledged/blob/master/docs/kubefledged-architecture.png
部署 kube-fledged
Helm 方式部署
──[[email protected]]-[~/ansible] └─$mkdir kube-fledged ┌──[[email protected]]-[~/ansible] └─$cd kube-fledged ┌──[[email protected]]-[~/ansible/kube-fledged] └─$export KUBEFLEDGED_NAMESPACE=kube-fledged ┌──[[email protected]]-[~/ansible/kube-fledged] └─$kubectl create namespace ${KUBEFLEDGED_NAMESPACE} namespace/kube-fledged created ┌──[[email protected]]-[~/ansible/kube-fledged] └─$helm repo add kubefledged-charts https://senthilrch.github.io/kubefledged-charts/ "kubefledged-charts" has been added to your repositories ┌──[[email protected]]-[~/ansible/kube-fledged] └─$helm repo update Hang tight while we grab the latest from your chart repositories... ...Successfully got an update from the "kubefledged-charts" chart repository ...Successfully got an update from the "kubescape" chart repository ...Successfully got an update from the "rancher-stable" chart repository ...Successfully got an update from the "skm" chart repository ...Successfully got an update from the "openkruise" chart repository ...Successfully got an update from the "awx-operator" chart repository ...Successfully got an update from the "botkube" chart repository Update Complete. ⎈Happy Helming!⎈ ┌──[[email protected]]-[~/ansible/kube-fledged] └─$helm install --verify kube-fledged kubefledged-charts/kube-fledged -n ${KUBEFLEDGED_NAMESPACE} --wait
实际部署中发现，由于网络问题，chart 无法下载，所以通过 make deploy-using-yaml 使用 yaml 方式部署
Yaml 文件部署
┌──[[email protected]]-[~/ansible/kube-fledged] └─$git clone https://github.com/senthilrch/kube-fledged.git 正克隆到 'kube-fledged'... remote: Enumerating objects: 10613, done. remote: Counting objects: 100% (1501/1501), done. remote: Compressing objects: 100% (629/629), done. remote: Total 10613 (delta 845), reused 1357 (delta 766), pack-reused 9112 接收对象中: 100% (10613/10613), 34.58 MiB | 7.33 MiB/s, done. 处理 delta 中: 100% (4431/4431), done. ┌──[[email protected]]-[~/ansible/kube-fledged] └─$ls kube-fledged ┌──[[email protected]]-[~/ansible/kube-fledged] └─$cd kube-fledged/ ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged] └─$make deploy-using-yaml kubectl apply -f deploy/kubefledged-namespace.yaml
第一次部署，发现镜像拉不下来
┌──[[email protected]]-[~] └─$kubectl get all -n kube-fledged NAME READY STATUS RESTARTS AGE pod/kube-fledged-controller-df69f6565-drrqg 0/1 CrashLoopBackOff 35 (5h59m ago) 21h pod/kube-fledged-webhook-server-7bcd589bc4-b7kg2 0/1 Init:CrashLoopBackOff 35 (5h58m ago) 21h pod/kubefledged-controller-55f848cc67-7f4rl 1/1 Running 0 21h pod/kubefledged-webhook-server-597dbf4ff5-l8fbh 0/1 Init:CrashLoopBackOff 34 (6h ago) 21h NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/kube-fledged-webhook-server ClusterIP 10.100.194.199 <none> 3443/TCP 21h service/kubefledged-webhook-server ClusterIP 10.101.191.206 <none> 3443/TCP 21h NAME READY UP-TO-DATE AVAILABLE AGE deployment.apps/kube-fledged-controller 0/1 1 0 21h deployment.apps/kube-fledged-webhook-server 0/1 1 0 21h deployment.apps/kubefledged-controller 0/1 1 0 21h deployment.apps/kubefledged-webhook-server 0/1 1 0 21h NAME DESIRED CURRENT READY AGE replicaset.apps/kube-fledged-controller-df69f6565 1 1 0 21h replicaset.apps/kube-fledged-webhook-server-7bcd589bc4 1 1 0 21h replicaset.apps/kubefledged-controller-55f848cc67 1 1 0 21h replicaset.apps/kubefledged-webhook-server-597dbf4ff5 1 1 0 21h ┌──[[email protected]]-[~] └─$
这里我们找一下要拉取的镜像
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$cat *.yaml | grep image: - image: senthilrch/kubefledged-controller:v0.10.0 - image: senthilrch/kubefledged-webhook-server:v0.10.0 - image: senthilrch/kubefledged-webhook-server:v0.10.0
单独拉取一些，当前使用 ansible 在所有工作节点批量操作
┌──[[email protected]]-[~/ansible] └─$ansible k8s_node -m shell -a "docker pull docker.io/senthilrch/kubefledged-cri-client:v0.10.0" -i host.yaml
其他相关的镜像都拉取一下
操作完成之后容器状态全部正常
┌──[[email protected]]-[~/ansible] └─$kubectl -n kube-fledged get all NAME READY STATUS RESTARTS AGE pod/kube-fledged-controller-df69f6565-wdb4g 1/1 Running 0 13h pod/kube-fledged-webhook-server-7bcd589bc4-j8xxp 1/1 Running 0 13h pod/kubefledged-controller-55f848cc67-klxlm 1/1 Running 0 13h pod/kubefledged-webhook-server-597dbf4ff5-ktbsh 1/1 Running 0 13h NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/kube-fledged-webhook-server ClusterIP 10.100.194.199 <none> 3443/TCP 36h service/kubefledged-webhook-server ClusterIP 10.101.191.206 <none> 3443/TCP 36h NAME READY UP-TO-DATE AVAILABLE AGE deployment.apps/kube-fledged-controller 1/1 1 1 36h deployment.apps/kube-fledged-webhook-server 1/1 1 1 36h deployment.apps/kubefledged-controller 1/1 1 1 36h deployment.apps/kubefledged-webhook-server 1/1 1 1 36h NAME DESIRED CURRENT READY AGE replicaset.apps/kube-fledged-controller-df69f6565 1 1 1 36h replicaset.apps/kube-fledged-webhook-server-7bcd589bc4 1 1 1 36h replicaset.apps/kubefledged-controller-55f848cc67 1 1 1 36h replicaset.apps/kubefledged-webhook-server-597dbf4ff5 1 1 1 36h
验证是否安装成功
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged] └─$kubectl get pods -n kube-fledged -l app=kubefledged NAME READY STATUS RESTARTS AGE kubefledged-controller-55f848cc67-klxlm 1/1 Running 0 16h kubefledged-webhook-server-597dbf4ff5-ktbsh 1/1 Running 0 16h ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged] └─$kubectl get imagecaches -n kube-fledged No resources found in kube-fledged namespace.
使用 kubefledged
创建镜像缓存对象
根据 Demo 文件，创建镜像缓存对象
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged] └─$cd deploy/ ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$cat kubefledged-imagecache.yaml --- apiVersion: kubefledged.io/v1alpha2 kind: ImageCache metadata: # Name of the image cache. A cluster can have multiple image cache objects name: imagecache1 namespace: kube-fledged # The kubernetes namespace to be used for this image cache. You can choose a different namepace as per your preference labels: app: kubefledged kubefledged: imagecache spec: # The "cacheSpec" field allows a user to define a list of images and onto which worker nodes those images should be cached (i.e. pre-pulled). cacheSpec: # Specifies a list of images (nginx:1.23.1) with no node selector, hence these images will be cached in all the nodes in the cluster - images: - ghcr.io/jitesoft/nginx:1.23.1 # Specifies a list of images (cassandra:v7 and etcd:3.5.4-0) with a node selector, hence these images will be cached only on the nodes selected by the node selector - images: - us.gcr.io/k8s-artifacts-prod/cassandra:v7 - us.gcr.io/k8s-artifacts-prod/etcd:3.5.4-0 nodeSelector: tier: backend # Specifies a list of image pull secrets to pull images from private repositories into the cache imagePullSecrets: - name: myregistrykey
官方的 Demo 中对应的 镜像拉取不下来，所以换一下
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$docker pull us.gcr.io/k8s-artifacts-prod/cassandra:v7 Error response from daemon: Get "https://us.gcr.io/v2/": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$
为了测试选择器标签的使用,我们找一个节点的标签单独做镜像缓存
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$kubectl get nodes --show-labels
同时我们直接从公有仓库拉取镜像，所以不需要 imagePullSecrets 对象
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$vim kubefledged-imagecache.yaml
修改后的 yaml 文件
- 添加了一个所有节点的 liruilong/my-busybox:latest 镜像缓存
-
添加了一个
kubernetes.io/hostname: vms105.liruilongs.github.io对应标签选择器的liruilong/hikvision-sdk-config-ftp:latest镜像缓存
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$cat kubefledged-imagecache.yaml --- apiVersion: kubefledged.io/v1alpha2 kind: ImageCache metadata: # Name of the image cache. A cluster can have multiple image cache objects name: imagecache1 namespace: kube-fledged # The kubernetes namespace to be used for this image cache. You can choose a different namepace as per your preference labels: app: kubefledged kubefledged: imagecache spec: # The "cacheSpec" field allows a user to define a list of images and onto which worker nodes those images should be cached (i.e. pre-pulled). cacheSpec: # Specifies a list of images (nginx:1.23.1) with no node selector, hence these images will be cached in all the nodes in the cluster - images: - liruilong/my-busybox:latest # Specifies a list of images (cassandra:v7 and etcd:3.5.4-0) with a node selector, hence these images will be cached only on the nodes selected by the node selector - images: - liruilong/hikvision-sdk-config-ftp:latest nodeSelector: kubernetes.io/hostname: vms105.liruilongs.github.io # Specifies a list of image pull secrets to pull images from private repositories into the cache #imagePullSecrets: #- name: myregistrykey ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$
直接创建报错了
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$kubectl create -f kubefledged-imagecache.yaml Error from server (InternalError): error when creating "kubefledged-imagecache.yaml": Internal error occurred: failed calling webhook "validate-image-cache.kubefledged.io": failed to call webhook: Post "https://kubefledged-webhook-server.kube-fledged.svc:3443/validate-image-cache?timeout=1s": x509: certificate signed by unknown authority (possibly because of "crypto/rsa: verification error" while trying to verify candidate authority certificate "kubefledged.io") ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$kubectl get imagecaches -n kube-fledged No resources found in kube-fledged namespace. ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$
解决办法，删除对应的对象，重新创建
我在当前项目的一个 issues 下面找到了解决办法 https://github.com/senthilrch/kube-fledged/issues/76
看起来这是因为 Webhook CA 是硬编码的，但是当 webhook 服务器启动时，会生成一个新的 CA 捆绑包并更新 webhook 配置。当发生另一个部署时，将重新应用原始 CA 捆绑包，并且 Webhook 请求开始失败，直到再次重新启动 Webhook 组件以修补捆绑包init-server
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged] └─$make remove-kubefledged-and-operator # Remove kubefledged kubectl delete -f deploy/kubefledged-operator/deploy/crds/charts.helm.kubefledged.io_v1alpha2_kubefledged_cr.yaml error: resource mapping not found for name: "kube-fledged" namespace: "kube-fledged" from "deploy/kubefledged-operator/deploy/crds/charts.helm.kubefledged.io_v1alpha2_kubefledged_cr.yaml": no matches for kind "KubeFledged" in version "charts.helm.kubefledged.io/v1alpha2" ensure CRDs are installed first ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged] └─$make deploy-using-yaml kubectl apply -f deploy/kubefledged-namespace.yaml namespace/kube-fledged created kubectl apply -f deploy/kubefledged-crd.yaml customresourcedefinition.apiextensions.k8s.io/imagecaches.kubefledged.io unchanged .................... kubectl rollout status deployment kubefledged-webhook-server -n kube-fledged --watch Waiting for deployment "kubefledged-webhook-server" rollout to finish: 0 of 1 updated replicas are available... deployment "kubefledged-webhook-server" successfully rolled out kubectl get pods -n kube-fledged NAME READY STATUS RESTARTS AGE kubefledged-controller-55f848cc67-76c4v 1/1 Running 0 112s kubefledged-webhook-server-597dbf4ff5-56h6z 1/1 Running 0 66s
重新创建缓存对象，创建成功
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$kubectl create -f kubefledged-imagecache.yaml imagecache.kubefledged.io/imagecache1 created ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$kubectl get imagecaches -n kube-fledged NAME AGE imagecache1 10s ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$
查看当前被纳管的镜像缓存
┌──[[email protected]]-[~/ansible/kube-fledged] └─$kubectl get imagecaches imagecache1 -n kube-fledged -o json { "apiVersion": "kubefledged.io/v1alpha2", "kind": "ImageCache", "metadata": { "creationTimestamp": "2024-03-01T15:08:42Z", "generation": 83, "labels": { "app": "kubefledged", "kubefledged": "imagecache" }, "name": "imagecache1", "namespace": "kube-fledged", "resourceVersion": "20169836", "uid": "3a680a57-d8ab-444f-b9c9-4382459c5c72" }, "spec": { "cacheSpec": [ { "images": [ "liruilong/my-busybox:latest" ] }, { "images": [ "liruilong/hikvision-sdk-config-ftp:latest" ], "nodeSelector": { "kubernetes.io/hostname": "vms105.liruilongs.github.io" } } ] }, "status": { "completionTime": "2024-03-02T01:06:47Z", "message": "All requested images pulled succesfully to respective nodes", "reason": "ImageCacheRefresh", "startTime": "2024-03-02T01:05:33Z", "status": "Succeeded" } } ┌──[[email protected]]-[~/ansible/kube-fledged] └─$
通过 ansible 来验证
┌──[[email protected]]-[~/ansible] └─$ansible all -m shell -a "docker images | grep liruilong/my-busybox" -i host.yaml 192.168.26.102 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.101 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.103 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.105 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.100 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.106 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB ┌──[[email protected]]-[~/ansible] └─$ ┌──[[email protected]]-[~/ansible] └─$ansible all -m shell -a "docker images | grep liruilong/hikvision-sdk-config-ftp" -i host.yaml 192.168.26.102 | FAILED | rc=1 >> non-zero return code 192.168.26.100 | FAILED | rc=1 >> non-zero return code 192.168.26.103 | FAILED | rc=1 >> non-zero return code 192.168.26.105 | CHANGED | rc=0 >> liruilong/hikvision-sdk-config-ftp latest a02cd03b4342 4 months ago 830MB 192.168.26.101 | FAILED | rc=1 >> non-zero return code 192.168.26.106 | FAILED | rc=1 >> non-zero return code ┌──[[email protected]]-[~/ansible] └─$
开启自动刷新
┌──[[email protected]]-[~/ansible] └─$kubectl annotate imagecaches imagecache1 -n kube-fledged kubefledged.io/refresh-imagecache= imagecache.kubefledged.io/imagecache1 annotated ┌──[[email protected]]-[~/ansible] └─$
添加镜像缓存
添加一个新的镜像缓存
┌──[[email protected]]-[~/ansible] └─$kubectl get imagecaches.kubefledged.io -n kube-fledged imagecache1 -o json { "apiVersion": "kubefledged.io/v1alpha2", "kind": "ImageCache", "metadata": { "creationTimestamp": "2024-03-01T15:08:42Z", "generation": 92, "labels": { "app": "kubefledged", "kubefledged": "imagecache" }, "name": "imagecache1", "namespace": "kube-fledged", "resourceVersion": "20175233", "uid": "3a680a57-d8ab-444f-b9c9-4382459c5c72" }, "spec": { "cacheSpec": [ { "images": [ "liruilong/my-busybox:latest", "liruilong/jdk1.8_191:latest" ] }, { "images": [ "liruilong/hikvision-sdk-config-ftp:latest" ], "nodeSelector": { "kubernetes.io/hostname": "vms105.liruilongs.github.io" } } ] }, "status": { "completionTime": "2024-03-02T01:43:32Z", "message": "All requested images pulled succesfully to respective nodes", "reason": "ImageCacheUpdate", "startTime": "2024-03-02T01:40:34Z", "status": "Succeeded" } } ┌──[[email protected]]-[~/ansible] └─$
通过 ansible 确认
┌──[[email protected]]-[~/ansible] └─$ansible all -m shell -a "docker images | grep liruilong/jdk1.8_191" -i host.yaml 192.168.26.101 | FAILED | rc=1 >> non-zero return code 192.168.26.100 | FAILED | rc=1 >> non-zero return code 192.168.26.102 | FAILED | rc=1 >> non-zero return code 192.168.26.103 | FAILED | rc=1 >> non-zero return code 192.168.26.105 | FAILED | rc=1 >> non-zero return code 192.168.26.106 | FAILED | rc=1 >> non-zero return code ┌──[[email protected]]-[~/ansible] └─$ansible all -m shell -a "docker images | grep liruilong/jdk1.8_191" -i host.yaml 192.168.26.101 | CHANGED | rc=0 >> liruilong/jdk1.8_191 latest 17dbd4002a8c 5 years ago 170MB 192.168.26.102 | CHANGED | rc=0 >> liruilong/jdk1.8_191 latest 17dbd4002a8c 5 years ago 170MB 192.168.26.100 | CHANGED | rc=0 >> liruilong/jdk1.8_191 latest 17dbd4002a8c 5 years ago 170MB 192.168.26.103 | CHANGED | rc=0 >> liruilong/jdk1.8_191 latest 17dbd4002a8c 5 years ago 170MB 192.168.26.105 | CHANGED | rc=0 >> liruilong/jdk1.8_191 latest 17dbd4002a8c 5 years ago 170MB 192.168.26.106 | CHANGED | rc=0 >> liruilong/jdk1.8_191 latest 17dbd4002a8c 5 years ago 170MB ┌──[[email protected]]-[~/ansible] └─$
删除镜像缓存
┌──[[email protected]]-[~/ansible] └─$kubectl edit imagecaches imagecache1 -n kube-fledged imagecache.kubefledged.io/imagecache1 edited ┌──[[email protected]]-[~/ansible] └─$kubectl get imagecaches.kubefledged.io -n kube-fledged imagecache1 -o json { "apiVersion": "kubefledged.io/v1alpha2", "kind": "ImageCache", "metadata": { "creationTimestamp": "2024-03-01T15:08:42Z", "generation": 94, "labels": { "app": "kubefledged", "kubefledged": "imagecache" }, "name": "imagecache1", "namespace": "kube-fledged", "resourceVersion": "20175766", "uid": "3a680a57-d8ab-444f-b9c9-4382459c5c72" }, "spec": { "cacheSpec": [ { "images": [ "liruilong/jdk1.8_191:latest" ] }, { "images": [ "liruilong/hikvision-sdk-config-ftp:latest" ], "nodeSelector": { "kubernetes.io/hostname": "vms105.liruilongs.github.io" } } ] }, "status": { "message": "Image cache is being updated. Please view the status after some time", "reason": "ImageCacheUpdate", "startTime": "2024-03-02T01:48:03Z", "status": "Processing" } }
通过 Ansible 确认，可以看到无论是 mastere 上的节点还是 work 的节点，对应的镜像缓存都被清理
┌──[[email protected]]-[~/ansible] └─$ansible all -m shell -a "docker images | grep liruilong/my-busybox" -i host.yaml 192.168.26.102 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.101 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.105 | FAILED | rc=1 >> non-zero return code 192.168.26.100 | CHANGED | rc=0 >> liruilong/my-busybox latest 497b83a63aad 11 months ago 1.24MB 192.168.26.103 | FAILED | rc=1 >> non-zero return code 192.168.26.106 | FAILED | rc=1 >> non-zero return code ┌──[[email protected]]-[~/ansible] └─$ansible all -m shell -a "docker images | grep liruilong/my-busybox" -i host.yaml 192.168.26.105 | FAILED | rc=1 >> non-zero return code 192.168.26.102 | FAILED | rc=1 >> non-zero return code 192.168.26.103 | FAILED | rc=1 >> non-zero return code 192.168.26.101 | FAILED | rc=1 >> non-zero return code 192.168.26.100 | FAILED | rc=1 >> non-zero return code 192.168.26.106 | FAILED | rc=1 >> non-zero return code ┌──[[email protected]]-[~/ansible] └─$
这里需要注意如果清除所有的镜像缓存，那么需要把 images 下的数组 写成 "".
┌──[[email protected]]-[~/ansible] └─$kubectl edit imagecaches imagecache1 -n kube-fledged imagecache.kubefledged.io/imagecache1 edited ┌──[[email protected]]-[~/ansible] └─$ansible all -m shell -a "docker images | grep liruilong/jdk1.8_191" -i host.yaml 192.168.26.102 | FAILED | rc=1 >> non-zero return code 192.168.26.101 | FAILED | rc=1 >> non-zero return code 192.168.26.100 | FAILED | rc=1 >> non-zero return code 192.168.26.105 | FAILED | rc=1 >> non-zero return code 192.168.26.103 | FAILED | rc=1 >> non-zero return code 192.168.26.106 | FAILED | rc=1 >> non-zero return code ┌──[[email protected]]-[~/ansible] └─$kubectl get imagecaches.kubefledged.io -n kube-fledged imagecache1 -o json { "apiVersion": "kubefledged.io/v1alpha2", "kind": "ImageCache", "metadata": { "creationTimestamp": "2024-03-01T15:08:42Z", "generation": 98, "labels": { "app": "kubefledged", "kubefledged": "imagecache" }, "name": "imagecache1", "namespace": "kube-fledged", "resourceVersion": "20176849", "uid": "3a680a57-d8ab-444f-b9c9-4382459c5c72" }, "spec": { "cacheSpec": [ { "images": [ "" ] }, { "images": [ "liruilong/hikvision-sdk-config-ftp:latest" ], "nodeSelector": { "kubernetes.io/hostname": "vms105.liruilongs.github.io" } } ] }, "status": { "completionTime": "2024-03-02T01:52:16Z", "message": "All cached images succesfully deleted from respective nodes", "reason": "ImageCacheUpdate", "startTime": "2024-03-02T01:51:47Z", "status": "Succeeded" } } ┌──[[email protected]]-[~/ansible] └─$
如果通过下面的方式删除，直接注释调对应的标签
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$cat kubefledged-imagecache.yaml --- apiVersion: kubefledged.io/v1alpha2 kind: ImageCache metadata: # Name of the image cache. A cluster can have multiple image cache objects name: imagecache1 namespace: kube-fledged # The kubernetes namespace to be used for this image cache. You can choose a different namepace as per your preference labels: app: kubefledged kubefledged: imagecache spec: # The "cacheSpec" field allows a user to define a list of images and onto which worker nodes those images should be cached (i.e. pre-pulled). cacheSpec: # Specifies a list of images (nginx:1.23.1) with no node selector, hence these images will be cached in all the nodes in the cluster #- images: #- liruilong/my-busybox:latest # Specifies a list of images (cassandra:v7 and etcd:3.5.4-0) with a node selector, hence these images will be cached only on the nodes selected by the node selector - images: - liruilong/hikvision-sdk-config-ftp:latest nodeSelector: kubernetes.io/hostname: vms105.liruilongs.github.io # Specifies a list of image pull secrets to pull images from private repositories into the cache #imagePullSecrets: #- name: myregistrykey ┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$
那么会报下面的错
┌──[[email protected]]-[~/ansible/kube-fledged/kube-fledged/deploy] └─$kubectl edit imagecaches imagecache1 -n kube-fledged error: imagecaches.kubefledged.io "imagecache1" could not be patched: admission webhook "validate-image-cache.kubefledged.io" denied the request: Mismatch in no. of image lists You can run `kubectl replace -f /tmp/kubectl-edit-4113815075.yaml` to try this update again.
博文部分内容参考
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https://github.com/senthilrch/kube-fledged
标签：fledged,github,kubefledged,ansible,io,kube,K8s From： https://www.cnblogs.com/huaweiyun/p/18135137