kubernetes pod

The Kubernetes network model is made up of four parts from inside to outside: The network where the pod interior container resides The network where the pod resides Network for communication between pod and service Network of communication between outside and service It is recommended that you

. logic architecture of Kubernetes Clusters Before you deploy a Kubernetes cluster in detail, we will first show you the logical architecture of the cluster. It can be seen that the entire system is divided into two parts: the first part is Kubernetes APIServer, which is the core of the entire system and manages all containers in the cluster; the second part is m

information about the cluster, and even make changes to the cluster. In this case, Kubernetes provides a special authentication method: Service account. Service account, like pod, service, and deployment, is a resource in a kubernetes cluster, and users can create their own.ServiceAccount contains three main content: namespace, Token, and CA. namespace specifies

1. Basic architecture1.1 MasterThe master node consists mainly of four modules: Apiserver, Scheduler, controller manager, ETCD.　　　　apiserver. Apiserver is responsible for providing restful Kubernetes API service, it is the unified entrance of the System Management Directive, any operation that increases and deletions the resources should be handed over to apiserver processing and then submitted to ETCD. As shown in the architecture diagram, KUBECTL (t

. Main concepts of Kubernetes 2.1 Pods In the Kubernetes system, the smallest granularity of scheduling is not simply a container, but a Pod. A Pod is the smallest deployment unit that can be created, destroyed, scheduled, and managed. One or more containers (Container) constitute a

cluster for Spark application, the submission mechanism is: L Spark Create Spark Driver, run in a kubernetes pod. L driver creates executors, runs in kubernetes pods, and executes application code. L When the application completes, the Executor pods is terminated and cleaned, but driver pod is persisted to the log, an

has the following key features: Have a unique named name Have a virtual IP and port number Ability to provide remote service is mapped to a set of container applications that provide this service capability Service processes are based on socket communication for external services (such as Redis, Memcache, MYSQL, Web Server), and a service is typically serviced by multiple related service processes. Each service process has a separate endpoint (ip+port) access point, bu

functions are as follows: 1 Use Docker for application wrapping (package), instantiating (instantiate), running (run). 2 to run and manage the containers across the machine in a cluster manner. 3 to solve the communication problem between Docker and cross machine containers. 4 Kubernetes's self-healing mechanism makes the container cluster always run in the user's desired state. The current kubernetes support GCE, Vshpere, CoreOS, OpenShift, Azure an

KubernetesKubernetes is the Google Open Source container cluster Management system, which provides application deployment, maintenance, extension mechanisms and other functions, using kubernetes can easily manage the cross-machine operation of containerized applications, the main functions are as follows:1) Use Docker for application wrapping (package), instantiation (instantiate), and run.2) Run and manage containers across machines in a clustered m

KubernetesKubernetes is Google open-source container cluster management system, using Golang development, which provides application deployment, maintenance, extension mechanism and other functions, using kubernetes can easily manage the cross-machine operation of containerized applications, the main functions are as follows: Use Docker for application wrapping (package), instantiation (instantiate), and run. Run and manage containers ac

(i) Core Concepts Pod is the core concept in Kubernetes, kubernetes management of Pod is the management of Pod lifecycle, the management of pod life cycle is the management of pod State

when a new node is added or fails, which is what operations people typically do when they manage. However, it is not very difficult to write an kubernetes operator.In short, the operator is kubernetes custom resource definition (CRD), which can write or use the existing. We are using Elastic search Operator and are happy to contribute to this project. I have made some pull requests.You may have started to

Deployment model, including Pod, Replication controller, Label, and Service. Pod The minimum deployment unit of Kubernetes is Pod rather than container. As a First class API citizen, Pods can be created, scheduled, and managed. Simply put, like the peas in a Pod, the appli

training is a combination of our theory and practice, from the perspective of Docker should scenario, continuous deployment and delivery, how to improve testing efficiency, storage, network, monitoring, security and so on. First, kubernetes network modelThere are two kinds of IP (pod IP and Service Cluster IP) in the Kubernetes network, the

[TOC]Introduction to Kubernetes DispatchingIn addition to having the Kubernetes cluster scheduler automatically select a node for the pod resource (the default schedule is that the resources are sufficient and the load is as average as possible), there are situations where we want to have more control over how the pod

, indicates the use of Host network volumes: #在该pod On the definition shared storage Volume List-name:string #共享存储卷名称 (there are many types of volumes) Emptydir: {} #类型为emtyDir的存储卷, a temporary directory with the pod's life cycle. A null-value hostpath:string #类型为hostPath的存储卷 that represents the directory path:string the host where the pod is mounted, and will be used for the same time Mount directory

Server saves the Node status information to ETCd. The Node Controller in Controller Manager regularly reads the status information of these nodes through the API Server and processes them accordingly. After listening to the information created by a Pod, Scheduler retrieves the list of all nodes that meet the Pod requirements and binds the Pod to the most complia

Wen/Sky Cloud software Cloud Platform development engineer Zhang Wei Zhang Wei is mainly responsible for the cloud software Skyform Cloud Platform design and development work. Familiar with a variety of open source IaaS platform, such as Cloudstack,openstack, familiar with various resource management and scheduling framework, such as kubernetes,mesos,yarn,borg. After six months of continuous optimization, Kuberne