Docker Swarm Discovery Docker Swarm comes with multiple discovery backends. You use a hosted discovery service with Docker Swarm. The service maintains a list of IPs in your cluster. This page describes the different types of hosted discovery available to you. These are: Using a distributed key/value store The recommended way to do node discovery in Swarm is Docker’s libkv project. The libkv project is an abstraction layer over existing distributed key/value stores. As of this writing, the proj

Swarm and container networks Docker Swarm is fully compatible with Docker’s networking features. This includes the multi-host networking feature which allows creation of custom container networks that span multiple Docker hosts. Before using Swarm with a custom network, read through the conceptual information in Docker container networking. You should also have walked through the Get started with multi-host networking example. Create a custom network in a Swarm cluster Multi-host networks requi

Content trust in Docker When transferring data among networked systems, trust is a central concern. In particular, when communicating over an untrusted medium such as the internet, it is critical to ensure the integrity and the publisher of all the data a system operates on. You use Docker Engine to push and pull images (data) to a public or private registry. Content trust gives you the ability to verify both the integrity and the publisher of all the data received from a registry over any chan

Manage data in containers So far you’ve been introduced to some basic Docker concepts, seen how to work with Docker images as well as learned about networking and links between containers. In this section you’re going to learn how you can manage data inside and between your Docker containers. You’re going to look at the two primary ways you can manage data with Docker Engine. Data volumes Data volume containers Data volumes A data volume is a specially-designated directory within one or more

stop Usage: stop [options] [SERVICE...] Options: -t, --timeout TIMEOUT Specify a shutdown timeout in seconds (default: 10). Stops running containers without removing them. They can be started again with docker-compose start.

Using Compose in production When you define your app with Compose in development, you can use this definition to run your application in different environments such as CI, staging, and production. The easiest way to deploy an application is to run it on a single server, similar to how you would run your development environment. If you want to scale up your application, you can run Compose apps on a Swarm cluster. Modify your Compose file for production You’ll almost certainly want to make chang

Engine user guide This guide takes you through the fundamentals of using Docker Engine and integrating it into your environment. You’ll learn how to use Engine to: Dockerize your applications. Run your own containers. Build Docker images. Share your Docker images with others. And a whole lot more! This guide is broken into major sections that take you through learning the basics of Docker Engine and the other Docker products that support it. Dockerizing applications: A “Hello world” How do I

Oracle VirtualBox Create machines locally using VirtualBox. This driver requires VirtualBox 5+ to be installed on your host. Using VirtualBox 4.3+ should work but will give you a warning. Older versions will refuse to work. $ docker-machine create --driver=virtualbox vbox-test You can create an entirely new machine or you can convert a Boot2Docker VM into a machine by importing the VM. To convert a Boot2Docker VM, you’d use the following command: $ docker-machine create -d virtualbox --virtual

Google Compute Engine Create machines on Google Compute Engine. You will need a Google account and a project id. See https://cloud.google.com/compute/docs/projects for details on projects. Credentials The Google driver uses Application Default Credentials to get authorization credentials for use in calling Google APIs. So if docker-machine is used from a GCE host, authentication will happen automatically via the built-in service account. Otherwise, install gcloud and get through the oauth2 proc

Ubuntu Docker is supported on these Ubuntu operating systems: Ubuntu Xenial 16.04 (LTS) Ubuntu Wily 15.10 Ubuntu Trusty 14.04 (LTS) Ubuntu Precise 12.04 (LTS) This page instructs you to install using Docker-managed release packages and installation mechanisms. Using these packages ensures you get the latest release of Docker. If you wish to install using Ubuntu-managed packages, consult your Ubuntu documentation. Note: Ubuntu Utopic 14.10 and 15.04 exist in Docker’s APT repository but are no