Bind container ports to the host The information in this section explains binding container ports within the Docker default bridge. This is a bridge network named bridge created automatically when you install Docker. Note: The Docker networks feature allows you to create user-defined networks in addition to the default bridge network. By default Docker containers can make connections to the outside world, but the outside world cannot connect to containers. Each outgoing connection will appear

CLI Environment Variables Several environment variables are available for you to configure the Docker Compose command-line behaviour. Variables starting with DOCKER_ are the same as those used to configure the Docker command-line client. If you’re using docker-machine, then the eval "$(docker-machine env my-docker-vm)" command should set them to their correct values. (In this example, my-docker-vm is the name of a machine you created.) Note: Some of these variables can also be provided using a

rm Usage: rm [options] [SERVICE...] Options: -f, --force Don't ask to confirm removal -v Remove any anonymous volumes attached to containers -a, --all Also remove one-off containers created by docker-compose run Removes stopped service containers. By default, anonymous volumes attached to containers will not be removed. You can override this with -v. To list all volumes, use docker volume ls. Any data which is not in a volume will be lost.

Docker Remote API client libraries These libraries make it easier to build applications on top of the Docker Remote API with various programming languages. They have not been tested by the Docker maintainers for compatibility, so if you run into any issues, file them with the library maintainers. Language/Framework Name Repository C# Docker.DotNet https://github.com/ahmetalpbalkan/Docker.DotNet C++ lasote/docker_client https://github.com/lasote/docker_client Erlang erldocker https://github.com/

config Usage: docker-machine config [OPTIONS] [arg...] Print the connection config for machine Description: Argument is a machine name. Options: --swarm Display the Swarm config instead of the Docker daemon For example: $ docker-machine config dev --tlsverify --tlscacert="/Users/ehazlett/.docker/machines/dev/ca.pem" --tlscert="/Users/ehazlett/.docker/machines/dev/cert.pem" --tlskey="/Users/ehazlett/.docker/machines/dev/key.pem" -H tcp://192.168.99.103:2376

Deploy your infrastructure In this step, you create several Docker hosts to run your application stack on. Before you continue, make sure you have taken the time to learn the application architecture. About these instructions This example assumes you are running on a Mac or Windows system and enabling Docker Engine docker commands by provisioning local VirtualBox virtual machines thru Docker Machine. For this evaluation installation, you’ll need 6 (six) VirtualBox VMs. While this example uses D

start Usage: start [SERVICE...] Starts existing containers for a service.

start Usage: docker start [OPTIONS] CONTAINER [CONTAINER...] Start one or more containers -a, --attach Attach STDOUT/STDERR and forward signals --detach-keys Specify the escape key sequence used to detach a container --help Print usage -i, --interactive Attach container's STDIN

Best practices for writing Dockerfiles Docker can build images automatically by reading the instructions from a Dockerfile, a text file that contains all the commands, in order, needed to build a given image. Dockerfiles adhere to a specific format and use a specific set of instructions. You can learn the basics on the Dockerfile Reference page. If you’re new to writing Dockerfiles, you should start there. This document covers the best practices and methods recommended by Docker, Inc. and the D

Understand images, containers, and storage drivers To use storage drivers effectively, you must understand how Docker builds and stores images. Then, you need an understanding of how these images are used by containers. Finally, you’ll need a short introduction to the technologies that enable both images and container operations. Images and layers Each Docker image references a list of read-only layers that represent filesystem differences. Layers are stacked on top of each other to form a base