minikube

This is a creation in Article, where the information may have evolved or changed. [TOC] Minikube Code Analysis Reference Blog: minikube Source Analysis Download Minikube source code can be downloaded from github: git clone git@github.com:kubernetes/minikube.git Compile Environment:Ubuntu 16.04 # code download to any directory, here is/opt/kube/

https://rominirani.com/ Tutorial-getting-started-with-kubernetes-on-your-windows-laptop-with-minikube-3269b54a226#.d9lmuvzf2 This article's Considerations: 1, as of 2017.01.20, window kubernetes is still experimental, there are a variety of unpredictable bugs, if you encounter bugs, please go to kubernetes GitHub search Issues to find solutions (issues Kubernetes/kubernetes https://github.com/kubernetes/kubernetes/issues) 2, as of 2017.01.20, in the

What is minikube?The installation and deployment of kubernetes clusters is a hurdle for many beginners. To facilitate development and experience of kubernetes, The kubernetes open-source community provides minikube that can be deployed locally.Minikube is a tool that allows you to run kubernetes locally. The principle is to run a single-node kubernetes cluster in a Virtual Machine (Virtual Machine). This cl

Tip This blog post mainly records how to use the centos system to install minikube in a local environment. It fills in a lot of problems that may result in failed image download during the installation process, mainly using kubernete 1.12.1, for other different versions, the method is the same. 1. Download the deployment installation package Wget https://storage.googleapis.com/minikube/releases/v0.30.0/

Installation Requirements:The BIOS of your computer must be enabled Vt-x or amd-v virtualizationInstalling hypervisorMacos:virtualbox or VMware Fusion, or Hyperkit.Linux:virtualbox or KVM.Note:The Minikube also supports the--vm-driver=none option, which can be run directly on the host instead of on the VM. With this option, Docker is required, not hypervisor.Installing KubectlRefer to the installation documentation for 0-1Installing MinikubeInstall ac

Tags: virtual conf 0.00 Span file--for USR picturesEnvironmental information: guoguo-macbook-pro-3:~ guoguo$ Docker version Client: Version: 17.12.0-ce api version: 1.35 go version: go1.9.2 Git commit: NBSP;C97C6D6 Built: wed Dec 20:03:51 OS/Arch: DARWIN/AMD64 Server: engine: version: 17.12.0-ce API Version : 1.35 (Minimum version 1.12) Go version: go1.9.2 Git commit: nbsp; c97c6d6 built: wed Dec 20:12:29 os/arch: NBSP;LINUX/AMD64 experimental: false guoguo-macbook-p

First, the experimental environment Operating system: Centos 7 x86_64 docker:1.12.6 II. Deployment of k8s steps 2.1 Installation Kubectl Cat 2.2 Installation Minikube Download Address: HTTPS://STORAGE.GOOGLEAPIS.COM/MINIKUBE/RELEASES/V0.26.1/MINIKUBE-LINUX-AMD64 When the download is complete, rename the minikube-linu

Reference URL: http://batizhao.github.io/2018/01/18/Running-Kubernetes-Locally-via-Minikube/K8s Study Website: https://www.kubernetes.org.cn/installkubectlDescriptionInstall the Xhyve driver in preparation for the job. Installation is not possible here, as the Visualbox is installed in advanceSTEP1: Installing Kubectl$ Curl-lo https://storage.googleapis.com/kubernetes-release/release/' Curl-sHttps://storage.googleapis.com/kubernetes-release/release/st

Learning notes TF064: TensorFlow Kubernetes, tf064tensorflow AlphaGo: each experiment has 1000 nodes and each node has 4 GPUs and 4000 GPUs. Siri: 2 nodes and 8 GPUs for each experiment. AI research relies on massive data computing, instead of performance computing resources. The larger cluster running model shortens the weekly training time to the day-level hour level. Kubernetes, the most widely used container cluster management tool, distributed TensorFlow monitoring, and scheduling lifecycle

The current skaffold version is v0.4 and has not yet been released, and is not recommended for use in production environments;Skaffold is used for developer rapid deployment programs to Kubernetes,Skaffold provides dev, run two modes , and Skaffold requires a skaffold configuration file that defines Skaffold workflow ；The Skaffold workflow defines three main stages : Build, Push, Deploy;First, BuildDuring the build phase, Skaffold uses the dockerfile to generate Artifacts,skaffold docker images,

extensively used containers for internal projects and has more than 10 years of development experience (source: thenextplatform). By contrast, Microsoft's ACS is a younger product, and kubernetes support was introduced only in February 2017.However, ACS provides flexibility: Users can choose the container Orchestration platform (Kubernetes, Docker Swarm, DCOs), and choose the option to deploy containerized applications in Windows in addition to Linux. As shown below, Gke and ACS are completely

the Kubernetes cluster's resources are severely inadequate and cause the Job to queue up, it is easy to add a kubernetes Node to the cluster, so as to achieve expansion. 2, environment, software preparation This demo environment, I am operating on the native MAC OS and virtual machine Linux Centos7, the following is installed software and version: Docker:version 17.09.0-ce Oracle virtualbox:version 5.1.20 r114 628 (Qt5.6.2) minikube:version v0.22.2 kuberctl:Client version:v1.8.1 Server version:

Architecture Architecture Diagram Non-prod Environment Prod Environment Cluster Networking Container Repository Setup Minikube for Dev ENV Kubeadm for Non-prod ENV Other IaaC for Prod ENV Devops Ci/cd Source Code Management PipeLine Monitoring D

temporarily skip) Open it:Kubernetes.io/docs/tutorials/kubernetes-basics The 6 steps to be illustrated are as follows: Create a k8s cluster Deploy Apps Explore the APP Access the APP APP Elastic Scaling Update APP Before you start each step, get to know something-- minikube . As the name implies, this is a mini version of the k8s, a lightweight k8s implementation, for the normal learning experience, use it can achieve and us

1.9.18 GolangYum Install-y Golang Boost 1.67 # Too much time losehttps://dl.bintray.com/boostorg/release/1.67.0/source/TAR-XVF Compressed Files CD Extract Directory sudo./bootstrap.sh \ Use sudo to get the relevant permissions. sudo./b2 sudo./b2 Install sudo ln-s/usr/local/lib/libboost_unit_test_framework.a/usr/lib64/libboost_unit_test_framework.a Yum-y Install Automake Libtool Flex Bison pkgconfig gcc-c++ boost-devel libevent-devel zlib-devel python-devel ruby-devel Openssl-devel Thrift 0.11.0

spark2.3.0+kubernetes Application Deployment Spark can be run in Kubernetes managed clusters, using native kubernetes scheduling features have been added to spark. At present, kubernetes scheduling is experimental, in future versions, Spark may have behavioral changes in configuration, container images, and portals. (1) Prerequisites. Run on Spark 2.3 or later. Run Kubernetes cluster version 1.6, access is configured to use Kubectl. If you have more than one kubernetes cluster, you can use

Kubectl related Keyword ConceptsPodsLabelsReplication ControllerServicesVolumesKubectl Command Detailed description Get pod ListThe # command returns the list of pods that are currently created by the kubernetes, mainly displaying the following message # NAME ready STATUS restarts age$ kubectl get pod # NAME Ready STATUS restarts Age# etcd-global-9002d 1/1 Running 0 2d# etcd-global-l3ph8 1/1 Running 0 2d # etcd-global-psj52 1/1 Running 0 2d

1.6, you'll need to add the following flag to Kubelet:--eviction-hard=memory.availableIf the Kubelet version is 1.7 or higher, it has this configuration by default. 1.6 The Inode usage is not monitored by default, so you have to add that flag to solve the problem.4. Although the Minikube is Mini, the local use is powerfulMinikube is definitely the easiest way to start a kubernetes cluster locally. You just have to follow this [1] guide to download ev

software in different ways. We try to restrict ourselves from using Kubernetes in all environments so that we can explore the impact of these technologies on data and database development and management. This series begins to use Kubernetes to create basic React applications and gradually evolves into a series that can meet our more development needs. Finally, we will cover the development needs of all applications and understand how to better cater to containers and clusters in the database li

This section explains how to allocate memory requests and make memory restrictions on a container. A container is guaranteed to have enough memory to handle the request, but it is also not allowed to use more than the limit of memory.Before you beginNeed to have a k8s clusterA kubectl tool needs to be installed and able to communicate with the cluster.If you are not ready, you can use Minikube or use the following practice space.Https://www.katacoda.c