In this chapter we'll cover some basic Docker concepts- containers, images, Dockerfiles, and the Docker Engine vs the Docker Hub (33.79 MB)
In this chapter, we'll briefly look at a few tools and services people have built using Docker already We'll also cover some recommendations for (53.3 MB)
In this chapter, we'll discuss a few different options for deploying your Docker applications to the cloud (44.33 MB)
In this chapter, we'll look at Dockerfiles and see how they help us create Docker images quickly and repeatably (337.49 MB)
In this chapter, you will learn how Fig can help you manage multiple Docker containers at once (345.92 MB)
In this chapter, you will learn how to find new Docker images and create your own (344.37 MB)
In this chapter, you will start your first Docker containers using the Docker command line client (228.68 MB)
It's time to put it all together- we'll take a sample Python web application, -Dockerize- it, and then deploy it to a cloud hosting service (328.61 MB)
It's time to set up your machine to use Docker (71.82 MB)
Now that our app is deployed to the cloud, we'll see how to update our application's code and system-level dependencies once it has already been deployed (269.55 MB)
Pick up some tips and tricks that can help you as you start to use Docker on your own (94.11 MB)
We will start by talking about what Docker is, what makes it unique, and look at a typical Docker implementation (38.8 MB)
We'll wrap up the course with some ways you can keep learning about Docker and the best ways to stay connected with the Docker community (32.54 MB)
Welcome to the course! In this chapter, we'll go over the course outline (21.93 MB)