pod 配置demo

https://kubernetes.io/zh-cn/docs/tasks/debug/debug-cluster/resource-metrics-pipeline/

安装简化的k8s集群 kuboard-spray

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docker run -d \ --privileged \ --restart=unless-stopped \ --name=kuboard-spray \ -p 80:80/tcp \ -v /var/run/docker.sock:/var/run/docker.sock \ -v ~/kuboard-spray-data:/data \ eipwork/kuboard-spray:latest-amd64

docker run -d —privileged —restart=unless-stopped —name=kuboard-spray -p 80:80/tcp -v /var/run/docker.sock:/var/run/docker.sock -v ~/kuboard-spray-data:D\:/data eipwork/kuboard-spray:latest-amd64

轻量版k8s - k3s

https://docs.k3s.io/zh/

在浏览器打开地址 http://这台机器的IP，输入用户名 admin，默认密码 Kuboard123，即可登录 Kuboard-Spray 界面

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为POD分配资源

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apiVersion: v1 kind: Pod metadata: name: memory-demo namespace: mem-example spec: containers: - name: memory-demo-ctr image: polinux/stress resources: requests: memory: "100Mi" limits: memory: "200Mi" command: ["stress"] args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]

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k8s工具 管理工具

kubeshpere

kuboard

https://kuboard.cn/learning/

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