Docker EE 2.0 gives flexibility and choice over the types of applications supported, orchestrators used, and where it’s deployed.This article will walk through some of the key new capabilities of Docker EE 2.0.
This post will present a short tutorial on how Docker can give your deep learning projects a jump start. In the process you will learn the basics of how to interact with Docker containers and create custom Docker images for your AI workloads.
Docker Image Repositories — A Docker Image repository is a place where Docker Images are actually stored, compared to the image registry which is a collection of pointers to this images. This page gathers resources about public repositories like the Docker hub and private repositories and how to set up and manage Docker repositories.
Working With Dockerfiles — The Dockerfile is essentially the build instructions to build the Docker image. The advantage of a Dockerfile over just storing the binary image is that the automatic builds will ensure you have the latest version available. This page gathers resources about working with Dockerfiles including best practices, Dockerfile commands, how to create Docker images with a Dockerfile and more.
Running Docker Containers — All docker containers run one main process. After that process is complete the container stops running. This page gathers resources about how to run docker containers on different operating systems, including useful docker commands.
Working With Docker Hub — Docker Hub is a cloud-based repository in which Docker users and partners create, test, store and distribute container images. Through Docker Hub, a user can access public, open source image repositories, as well as use a space to create their own private repositories, automated build functions, and work groups. This page gathers resources about Docker Hub and how to push and pull container images to and from Docker Hub.
Docker Container Management — The true power of Docker container technology lies in its ability to perform complex tasks with minimal resources. If not managed properly they will bloat, bogging down the environment and reducing the capabilities they were designed to deliver. This page gathers resources about how to effectively manage Docker, how to pick the right management tool including a list of recomended tools.
Storing Data Within Containers — It is possible to store data within the writable layer of a container. Docker offers three different ways to mount data into a container from the Docker host: volumes, bind mounts, or tmpfs volumes. This page gathers resources about various to store data with containers, the downsides like the persistent storage and information on how to manage data in Docker.