To remotely connect Docker containers using the SSH service based on CentOSEnvironment: Host CENTOS7, directly search Docker's CentOS image, download the latest version1, first according to Docker:yum Install-y Epel-releaseYum Install-y Docker2, start the Docker:systemctl start Docker.service3. Use PS to see if Docker
1, first download the image to local. https://hub.docker.com/r/gettyimages/spark/~$ Docker Pull Gettyimages/spark2, download from https://github.com/gettyimages/docker-spark/blob/master/docker-compose.yml to support the spark clu
terminal
Prompts you to enter your registration docker hub information.
If you see successful information, you are successful, this time, you can perform the tag operation, in the tag, you need to pay attention to the format. In the same way, anyone can docker hub download a mirror from a warehouse, but if you want to share your
Docker container run, generally cannot ssh, this container management brings trouble, below will explain how to create a docker image that supports SSH
Download the Ubuntu image from the dock hub first
Command: Docker pull Ubuntu
Docker creates an image with Tomcat installed with the process: Download the image first, start the container with mirroring, install Tomcat in the container, and then save the Tomcat container as a new image.
There are many ways Docker
Tags: mysql5.7 's CentOS Dock1. After entering Linux, use the docker command to download MySQL, commands such as:Docker Pull mysql:5.7After you run the command, the following log is displayed:[[emailprotected]~]#dockerpullmysql:5.7 5.7:pullingfromlibrary/ MySQL ad74af05f5a2:pullcomplete 0639788facc8:pullcomplete de70fa77eb2b:
pullcomplete 724179e94999:pullcomplete 50c77fb16ba6:pullcomplete d51f459239fb:pull
1. Download the dind imageDocker Pull Docker:dind2. Perform the imageDocker run-it--privileged--name some-docker-d docker:dind3. In-mirror processing--no-cache Icu-libs4. Download the Dotnet tar packageHTTPS://www.microsoft.com/net/download/thank-you/dotnet-sdk-2.1.302-linux-x64-alpine-binaries Very clear for theHTTPS:
Docker MySQL image installation and useDocker MySQL This time uses the download Docker.index.io already has the mirror Orchardup/mysqlReference: https://index.docker.io/u/orchardup/mysql/The steps are as follows:Download image
$ docker pull orchardup/mysql
In http://openvz.org/Download/templates/precreated, there are many compressed image files, which can be downloaded and used in the import image. You can also use my original blog post: How to make your own base image in DockerHere's how it's done:wget http://download.openvz.org/template/precreated/ubuntu-14.04-x86_64-m
Docker pull down on Ubuntu, using apt-get install command download speed is extremely slow, need to modify its software source, into the ETC/APT directory to repair sources.list found vi,vim,gedit are not, The software is also very slow.Solve:1. When you start the container, mount the etc/apt file of the local Linux system Docker run-ti-v/etc/apt/:/home/etc ubunt
Tags: ubuntu djang class Run comment variable repo modify pipA docker pull ubuntu, first download down a mirror,Or start a mirror locallyDocker Run-i-T Ubuntu/bin/bashTwoEnter a certain update operation# Shell on Container$ apt-get Update$ apt-get-y Install Python-pip$ pip Install DjangoThe above action is to update the source and then install Pip and DjangoThreeUpdate imageDocker Commit- m="description abo
exchanges and discussions.Company Background Introduction:Shanghai Yun Axis Information Technology Co., Ltd. (hereinafter referred to as Shanghai Yun Axis) was established in 2015. The company initiated and maintained the next generation of open source cloud computing engine Zstack (http://zstack.org), the company's team members are from Silicon Valley and domestic foreign core research and development personnel, in the cloud-related core areas of more than 10 years of technology accumulation.
If we use Dockerfile to build Docker mirrors, it would be very scary to accidentally cause the mirror to be larger than 1G. Are generally good hundreds of trillion. Larger mirrors tend to cause porting and migration is slow. Dockerfile, like code, needs to be optimized continuously. Using the following 4 optimization schemes, you can significantly reduce the size of the mirror.
The most important factor is to reduce the number of mirrored layers, whic
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