docker commands tutorial

This uses the hashicorp/precise64 Ubuntu 12.04 64 bits to handle the proxy virtual machine. It also provides Docker and some magical shell commands to get Docker to work. The last thing to do is set the turn of the mouth. It uses Config.vm.network to configure Redis, Elasticsearch, and Postgres to map to OS X with the agent virtual machine. Vagrant file

1. View Container logsDocker Logs-f 2. Viewing a running containerPs3. View all containersPS -A4. Delete a single containerRM 5. Remove all containersRM PS -a-q)6. Show All MirrorsDocker images7. Delete a single imageDocker RMI 8. Delete all Mirrorsawk ' {print $} ' sort -R)9. Remove all mirrors for a specific conditiongrep awk ' {print $} ' sort -R)10. Run a new container, naming it, port mapping, folder mappingDocker run--name 11. Re-take over the container's consoleDocker attach 12. Copy file

Specifies the Nginx mirror that you just acquired. # Docker run-d-P 80:80--name cn1 Nginx Explain the parameters: -D put in background execution -P Host Port: The container port maps the port of the container to the host, in order to provide access directly to the external --name Specify container Name 3.8 Viewing containers # docker PS In the browser to access the server's IP, you can open th

Source: http://blog.csdn.net/anxpp/article/details/52464806 The previous article also said that mirroring is one of the three core concepts of Docker. Docker needs to have a corresponding mirror locally before running the container, and if it does not exist locally, it will attempt to get from the default (Docker Hub) mirror Warehouse, or you can configure a mirr

Docker PHP development environment configuration tutorial, dockerphp development tutorial Preface I use mac for development, but it is very inconvenient to install the php function that comes with mac, and it is inconsistent with the online linux development environment. The centos php development environment configured with vagrant has never been used before

image, download and install my software, and then commit it into a new image for release. With dockerfile, I can automate this process. each time I run a docker build command, I use the compiled dockerfile to generate a new image. Example 2: a production environment depends on multiple components, but these components are constantly updated. If you use an image, you need to package and resend the image after each update. With dockerfile, it is much b

something (such as the new version of PHP), you need to re-build the entire container. Multiple containers provide better modularization when adding components. Because each container contains a part of the stack: Web, PHP, MySQL, and so on, you can expand each service or add a service separately without recreating everything. Because I am too lazy and need to place something else in my notebook, here we will only introduce the method of a single container.Initialize the project The first th

Share MySQL 5.7 docker master-slave replication Architecture Tutorial for your reference, the specific contents are as follows Environment version:mysql:5.7.13docker:1.11.2centos:7.1 1. Install two MySQL on two physical machines first. Commands are as follows Copy Code code as follows: Docker Pull mys

. Example 2: A production environment relies on multiple components, but these components are also constantly being updated. If you use image, you will need to package and resend the image every time after the update is complete. With the dockerfile is much better, every time you need to update the environment, only need to rerun the Dockerfile, it automatically according to the command to download and install the latest components. In conclusion, we are emphasizing the role of a dockerfile: a s

securely bind it to ... The host's DOCKER0 IP address (such as 172.17.42.2)! In this way, you can access any one of the Docker services in a private mesh network from any host. Conclusion Reboot (at least make sure everything comes online automatically at startup). You can try the following commands to see if everything is OK. # access host1 ssh user@host1 # Run a new container

Tutorial on deploying Python applications on Docker, dockerpython Several weeks ago, Elastic Beanstalk declared that Docker containers were configured and managed on the AWS cloud. In this article, we use a simple registry form page application to understand the Docker deployment process. This form uses the Elastic Bea

developing on Linux and you already have git, and the instructions for installing Docker,macos should be very similar. Start by cloning and creating a basic image: $ git clone https://github.com/mrmrcoleman/python_webapp$ Docker build-t Python_webapp. Now, we need to add some code to the container and specify it in detail. We're going to create a new project that just points to the

First of all, the personal understanding, Docker is similar to a Linux internal isolation of the sandbox, in the form of git, can be virtual out of a Linux version or the physical machine system itself.When I first heard it, I thought it was a retarded version of the virtual machine, and later I thought I understood or the pattern. In the VM installed a play (seemingly only support 64bit Oh pro)Docker's Chinese station has also started:Docker. CNDocke

are the smallest flask versions of our Hello World application. I've also used similar code in this tutorial, so if you've just contacted flask or python, you can use Docker instead of virtualenv to continue learning based on the tutorials mentioned above. In order for it to run inside the Docker container, we also need to do some operations. In our instance Ap