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In recent years, few IT tools have been as disruptive or innovative as Docker. Lightweight and fast, the open-source Docker engine provides an environment to run your code as well as an efficient workflow to get code from developer machines to the test environment, and rapidly into production. Docker streamlines deployment of your applications into isolated containers, allowing versatile new solutions across the entire IT value chain.
This Docker Containerization training workshop is ideal for developers and operations staff who want to containerize and improve reliability throughout the entire software development life cycle. To get the most out of the course, you should be familiar with some Linux basics, including package management, basic networking and simple shell scripting.
This 3-day Docker Containerization training class is a continuous hands-on workshop which teaches you how to use Docker and the workloads for which it is best suited. From your clean new Docker install on the first day, you will work through continuous real-world use cases to learn pragmatic, immediately useful skills. Our real-world format gets you up and running as quickly as possible with the technology, and focuses on making sure you understand how to best integrate Docker into your workflow for maximum productivity as soon as you return to work.
- Upcoming Dates and Locations
Guaranteed To Run
- Course Outline
Computers are provided in class. This 3-day Docker Containerization Training workshop is conducted as a continuous hands-on lab. From initial install to multi-container application stack, you will learn Docker through real-world practice.
- What can you use Docker for?
- A logical segregation of duties
- The relationship between Docker and SOA
- How Docker fits into the development lifecycle
- How Docker ensures consistency from development through UAT and staging, and on to production
- Example use cases of Docker in the real world
2. The components of Docker
- Underlying technology
- Docker client and server
- Filesystem images
3. Getting set up to start using Docker
- Getting set up on Windows
- Getting set up on the Mac
- Trying out our first container
- Getting set up for production on Linux
- Tweaking your production environment for best performance
- User interfaces for Docker management
4. Container management
- Container naming
- Starting and stopping containers
- Attaching to a container
- Seeing what is happening in a container
- Running a process inside a container
- Daemonizing a container
- Automatic container restarts
- Deleting containers when we are finished with them
5. Docker images and repositories
- Docker images explained
- How Docker images work
- Getting a list of images
- Searching for images on a repository
- Pulling an image
- Creating our own image
- Specify an image in a Dockerfile
- Building Dockerfile images
- Using the build cache for templating
- Viewing the image we have created
- Launching a container using our new image
- What is the Docker hub?
- Pushing images to the Docker hub
- Running your own internal Docker registry
- Testing the internal registry
7. A simple use case
- A single container static website
- Setting up a container running Nginx
- Launching our static site
- Updating our static site from git or bitbucket
8. Continuous integration with Docker
- How Docker enables and supports CI
- Getting set up for Jenkins and Docker
- A basic Jenkins job
- Multi configuration jobs
9. A more complex use case: Multi container application stacks
- A container for our NodeJS application
- A base image for our Redis containers
- Creating our Redis back-end cluster
- Capturing logs
- Managing containers
10. Docker orchestration and service discovery
- Getting set up with Fig
- Configuring the fig.yml file
- How to use Fig
- Running a Console cluster
11. Integrating with configuration management
- Managing your Docker hosts with Chef / Puppet / Ansible
- Building containers using configuration management tools
- Managing running containers with configuration management
12. Docker and DevOps
- Enabling collaboration with Docker
- Using Docker to streamline workflow
- Using Docker's version control capabilities to enable experimentation and learning
- Docker's role in the overall IT value chain
- Creating value and quality with Docker
- Enabling smoother flow of work
13. Course conclusion, open discussion and Q&A
- Going back to work with a plan
- What was not covered in this class
- Q&A with the instructor
- Who should attend
This workshop is ideal for developers and operations staff who want to containerize and improve reliability throughout the entire software development life cycle.
- Bonus Materials
The workshop includes one of the only comprehensive books available on Docker. This Docker Containerization training class includes a free copy of Docker: Up & Running by Karl Matthias and Sean Kane. This text from O'Reilly, plus your classroom guide, will serve as invaluable references for you to use back at work.
To get the most out of the course, you should be familiar with some Linux basics, including package management, basic networking and simple shell scripting.
What you will need to have installed on your PC prior to attending the ASPE Docker course:
The ASPE Docker course will be run as a continuous lab, and you will be able to follow along with the course after meeting a few prerequisites. No assumption has been made about what platform you might be running for development, and the following software can be installed on Mac, Windows or Linux.
First you will need to install Oracle Virtualbox from https://www.virtualbox.org/wiki/Downloads
Next you will need to install Vagrant from https://www.vagrantup.com/downloads.html
You will also need a GIT and SSH client, these come standard on Mac OS-X. If you are running Windows you can download from https://git-scm.com/download/win and on Linux you can install these with your distributions package manager, for example:
$ sudo apt-get install git-core openssh-client
Any additional requirements will be retrieved through the duration of the course.