2.2. 退出node 退出容器,容器会被自动删除。 # exitlogoutpod default/nsenter-9yqytp terminated(Error)pod"nsenter-9yqytp"deleted 3. 原理 容器是弱隔离,共享节点的内核,通过cgroup和namespace来实现进程级别的隔离。那么通过在特权容器里执行nsenter的命令,则可以通过登录特权容器来实现登录node的shell环境。
有时候可能会在生产环境中的k8s的node节点对docker文件daemon.json进行更改并且重启或者node节点出现其他故障,但是该node节点上有很多pod还在跑着,这时候就需要用到drain和uncordon两个命令drain:释放排空node上所有pod,并且不接收新的pod进程 uncordon:恢复node,恢复接收新的pod进程kubectl drain在对节点执行维护之前,可以...
示例,运行一个名称为nginx,副本数为3,标签为app=example,镜像为nginx:1.10,端口为80的容器实例,并绑定到k8s-node1上 $ kubectlrun nginx --image=nginx:1.10 --replicas=3 --labels="app=example" --port=80 --overrides='{"apiVersion":"apps/v1","spec":{"template":{"spec":{"nodeSelector":{"...
kubectl logs -l app=dev-app --field-selector spec.nodeName=node-1 Output. 2024-09-13T12:40:22.123Z Pod on node-1 initializing... 2024-09-13T12:40:23.456Z Starting the service on node-1. This retrieves logs from pods on a node labelednode-1. Conclusion The kubectl logs command is...
I have tried and failed to reproduce this problem. You have a dual-stack cluster with IPv4 as default address (kuberneted svc is ipv4) but have flipped the addresses to kubelet to--node-ip=IPv6,IPv4, I misunderstod that first. But even with that configkubectl logworks for me; ...
Node(s) CPU architecture, OS, and Version: $ uname -a Linux node4-dev 5.10.0-22-amd64#1 SMP Debian 5.10.178-3 (2023-04-22) x86_64 GNU/Linux Cluster Configuration: $ kubectl get nodes NAME STATUS ROLES AGE VERSION node1 Ready control-plane,master 535d v1.24.2+k3s2 ...
uncordon Mark nodeasschedulable drain Drain nodeinpreparationformaintenance taint Update the taints on one or more nodes Troubleshooting and Debugging Commands: describe Show details of a specific resource or group of resources logs Print the logsfora containerina pod ...
kubectl top node: Display Resource usage (CPU/Memory/Storage) for nodes kubectl describe nodes | grep Allocated -A 5: Resource allocation per node kubectl get pods -o wide | grep <node_name>: Pods running on a node kubectl annotate node <node_name>: Annotate a node ...
cattle-system pod/cattle-node-agent-n4tnd1/1 Running169d The output displays the namespace each resource is deployed in as well as the resource name prefixed by the resource type (podin the examples shown above). Afterwards, information about the ready and running statuses of each resource ...
The collected data passes through a central Fluentd pipeline so that it can be enhanced with metadata about information – like container, pod, node, cluster, service namespace, and deployment – before being sent to Sumo Logic. To get started, log into your Sumo Logic account or create one...