Recently in the Docker and her management tools, the selection of kuberetes, by her terminology and concepts to get dizzy ... Read an article is not bad, put it here to share.Address: http://www.linuxidc.com/Linux/2015-12/125757.htmThe citations are as follows:As an important member of the Docker ecosystem, Kubernetes is an open source version of Google's many years of large-scale container management technology and is the best practice for line-of-pr
650) this.width=650; "Src=" https://s3.51cto.com/wyfs02/M01/8F/D4/wKioL1js5fvx38eyAAIilo3ggrk054.jpg-wh_500x0-wm_ 3-wmp_4-s_3362591799.jpg "title=" docker-swarm-kubernetes copy 2.jpg "alt=" Wkiol1js5fvx38eyaaiilo3ggrk054.jpg-wh_50 " />March 2017 is an important month in the history of open source software. This month, AWS partnered with Startups Heptio to launch the Kubernetes (k8s) Open source container Cl
Copyright notice: This article by Turboxu original article, reprint please indicate source:Article original link: https://www.qcloud.com/community/article/152Source: Tengyun https://www.qcloud.com/communityKubernetes, an important member of the container orchestration ecosystem, is an open source version of Google's large-scale container management system (Borg) that draws on Google's experience and lessons learned in the production environment over the past decade.
As we all know, kubernetes (k8s) is used for the management of Docker cluster, the recent period of time has been tossing the environment, here to write a blog, to help like me, small white, avoid detours.
First, the environment
Cluster environment
Role
IP Address
Version number
Docker version
System version
Master
192.63.63.1/24
v1.9.1
17.12.0-ce
Centos7.1
Node1
192.63.63.10/24
Reference article:1. Kubernetes Learning Resources1, "Kubernetes and cloud-native application" series of kubernetes system architecture and design concept2, [Docker Professional introduction website Dockerinfo] (Dockerinfo-docker container Technology tutorial, docker information dissemination and service platform)3, [Docker Professional introduction website Docko
0. Preface
Overall architecture directory: ASP. NET core distributed project-Directory
k8s Schema Catalog: Kubernetes (K8S) cluster deployment (K8S Enterprise Docker container cluster Management) series catalog
1. Deploy Master Components
The components of the master server are: Kube-apiserver, Kube-controller-manager, Kube-scheduler
So you need to download k8s master,:github.com/kubernetes/
Once again, the architecture is clear: three virtual machine CentOS 7.4 systems, Docker 17, IP 10.10.90.105 to 107, 105-bit master, and the next master-related components installed on this machine.The ETCD cluster is 3 units, which are reused for each of the 3 virtual machines.As the core of k8s, the master node consists of three components, namely:Three components:kube-apiserverkube-schedulerkube-controller-managerThis three components are closely linked1. Create a TLS certificateThese certific
In the first two parts of this series we describe the overall process of API server and how the API objects are stored in ETCD. In this article we will explore how to extend the API resources.In the beginning, the only way to extend the API resources is to extend the relevant API source code and integrate it into the resources you need. Or, push a whole new type into the community code for the new core object API. However, this can lead to a constant increase in the core API resource types until
build a simple continuous integration and continuous delivery solution. After the developer pushes the code into the GIT repository, it triggers the Jenkins build action, and further can use Jenkins to execute the publishing scripts in different environments, and of course the scripts can perform backups and rollback actions.
Implementation here, the System program can support a company to go very far, that kuber
The bottom of the Kubernetes node is supported by a software called a "container runtime," which is responsible for things like starting and stopping containers. The most well-known container runtime is Docker, but it is not unique. In fact, this field has developed rapidly in the container runtime. To make the expansion of kubernetes easier, we have been polishing the k8s plug-in API that supports containe
With such a large amount of data, there may be thousands of machines behind it, unable to manually monitor the state of the machine. Therefore, this article introduces the use of the Kubernetes container management tool and, through a simple example, tells you how to build a Spark cluster. Preparation Phase
1. You need to have a running kubernetes cluster and use KUBECTL to configure access permissions for
Docker enables more convenient management of single-machine container virtualization, where Docker is located between the operating system layer and the application layer;
Relative traditional virtualization (Kvm,xen):Docker can be more flexible to implement some of the application layer functions, while the utilization of resources is also higher
Relative application:Docker can better combine applications with more operating systems (mirroring), reducing the cost of deployment and
not perfect, not to achieve the container and application level of monitoring and alarm.
The mirrored warehouse registry does not have the same user rights as the Docker hub.
As Kubernetes began to use more and more companies, more teams and lines of business within the company began accepting or proactively learning about Docker, and in order to address the existence of first-generation platforms and the deployment of existing services based
Alena Prokharchyk, Chief software engineer at Rancher Labs, was invited to give a presentation at the Kubernetes + Kubecon 2017 North American Summit, hosted by CNCF in December 2017 6-8th. This article is organized by the content of the lecture.As Kubernetes is becoming more and more popular, the number of integration and monitoring services around it is growing. The key component of all such services writ
First, IntroductionHeapster is a cluster-wide monitoring and event data aggregator. It natively supports kubernetes and can be run on all kubernetes settings. Heapster is run as a cluster in a group, similar to how any other kubernetes application runs. InfluxDB is an open source database written in go that is designed to handle time-series data with hi
Platform Environment: Centos 7.0First, the architecture modeSecond, Core ServicesMaster1) ETCD ServiceETCD is a highly available key-value storage system that Kubernetes uses to store the state of individual resources, enabling restful APIs. The ETCD service acts as the primary database for the Kubernetes cluster and needs to be installed and started before installing K
Directory
1, Jenkins CI/CD background 2, environment, software preparation 3, deployment Jenkins Server to Kubernetes 4, Jenkins configuration kubernetes Plugin 5, testing and Validation 5.1, pipeline type support 5 .2, Container Group type Support 5.3, non-Pipeline type support 5.4, configuring custom Jenkins-slave Mirroring
1, Jenkins ci/cd background Introduction
Continuous construction and release is an
CoreOS integrates Kubernetes Core Component Kubelet
[Editor's note] This article introduces the integration and support of Kubernetes's Core Component kubelet in CoreOS, a news and description published by the official CoreOS blog. Installing and using Kubelet in CoreOS demonstrates Kubelet's usage skills and how to better manage and monitor container resources in Kubernetes.This week, we integrated a core embedded component of kubelet-
Kubernetes API Server FeaturesThe core function of Kubernete API server is to provide an HTTP rest interface for kubernetes, deleting, changing, checking, and watch for various resource objects (such as Node,pod,service, etc.).The API server is the central hub for data interaction and communication between the various functional modules in the cluster, in addition to the following features:
API Por
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