What is Kube-proxy? Kube-proxy is a network proxy that runs on each node in a Kubernetes cluster. It is responsible for managing the network routing for individual services and pods, and for load-balancing traf
responsibility for maintaining the state of the work on the node server. it controls the container runtime to launch or destroy containers as needed. kube-proxy to manage individual host subnetting and make services available to other components, a small proxy service called kube-proxy is run on...
Kube-proxy:A network proxy and load balancer for a service on a single worker node. It is responsible for traffic routing. Kubectl:A CLI tool for the users to communicate with the Kubernetes API server. What are pods and services? Podsare the smallest unit of the Kubernetes cluster, it is...
Kubelet: Kubelet is a software agent that receives and runs orders from the master node and helps to ensure that containers run in a pod. Kube-proxy: Installed on every node in a cluster, the kube-proxy maintains network rules on the host an...
Kube-proxymanages network communication within the cluster, including maintaining network rules. Container runtimeis the software, such as Docker, that is responsible for running containers. Other important Kubernetes resources Podshandle containers as a resource. Pods can utilize shared storage (volumes)...
Kubernetes通过一种轮训机制选择相应的后端容器,这些动态的Pod被替换的时候,Kube proxy时刻追踪着,所以,服务的 IP地址(dns名称),从来不变。 10、所有Kubernetes中的资源,比如Pod,都通过一个叫URI的东西来区分,这个URI有一个UID,URI的重要组成部分是:对象的类型(比如pod),对象的名字,对象的命名空间,对于特殊的对象...
Kubernetes通过一种轮训机制选择相应的后端容器,这些动态的Pod被替换的时候,Kube proxy时刻追踪着,所以,服务的 IP地址(dns名称),从来不变。 10、所有Kubernetes中的资源,比如Pod,都通过一个叫URI的东西来区分,这个URI有一个UID,URI的重要组成部分是:对象的类型(比如pod),对象的名字,对象的命名空间,对于特殊的对象...
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Kubernetes is a platform for running applications and services. It manages the full lifecycle of container-based applications, by automating tasks, controlling resources, and abstracting infrastructure.
DependenciesFewer dependenciesMore dependencies, including etcd, kube-proxy, etc. Resource UsageUses less resources (CPU, RAM, etc.)Uses more resources, especially for large clusters DeploymentEasier to deploy and manageMore complex deployment and management ...