Learn how to deploy Docker applications to production
What you'll learn
- Write scripts to deploy containers to production automatically
- Design your own deployment workflow for putting changes into production
- Containerize your own applications
Requirements
- You should have a basic understanding of Docker before taking this course. You should know what an image is and how to build, push and pull images
- You should have a local workstation with Docker installed
- If you use Windows you will need a Unix flavoured VM in order to follow the examples in the "Automating with Ansible" section (Ansible doesn't work in Windows)
Description
Get a jumpstart with how to use Docker in production.
The course is not a beginners guide to Docker, instead think of it as the next step after learning the basics. In particular, in this course you will learn how to put any application inside a container and then how to put that container into production in a safe and reliable way. You’ll learn how to deploy containers manually and also how to automate the deploy of your containers. At the end of the course you will be able to write automated deploy scripts for any docker application!
The curriculum
In the first section of this course we will introduce the application that we will work with during the lectures. In the next section we’ll take a step back and talk about the different workflows we could use to get our containers into production. The next section will show you how to deploy manually. Finally we’ll automate the deploy process using Ansible.
Now is the time to learn Docker
Docker is taking the industry by storm, it is completely revolutionizing how software is being developed, tested and deployed to production. Now is an ideal time to learn about Docker.
Who should take this course?
The ideal student for this course is someone in a software developer or devops role who wants to learn how to start using Docker in production. The course is also suited for QA automation roles who are interested in using Docker to test their applications automatically. The ideal student will already have a very basic understanding of what Docker is and how it works, but you will be curious as to how to run Docker in production. The course is perfect if you want to get some practical Docker experience for your CV or in preparation for your next project. Maybe you want to use Docker for a personal project, or maybe your company is adopting Docker and you want to get a head start, in these cases you’ll get a lot out of this course.
30 day money-back guarantee
This course comes with an unconditional, 30-day money-back guarantee. If you are dissatisfied with the course for any reason simply request a refund and I'll give you all your money back, no questions asked.
Who this course is for:
- The course is designed for people who have already learnt the basics of Docker and are ready for the next step: putting things into production
- Anyone in a software developer, devops or QA role will find this course highly interesting
- The code examples are in python but the course does not require knowledge of any programming language
- The course will help you plan a deployment workflow (getting things into production) that works for your specific use case
Instructor
- 3.9 Instructor Rating
- 73 Reviews
- 1,526 Students
- 1 Course
My name is Emmet O’Grady, I’m Irish. I‘ve been a PHP software developer since aound 2010. I have been interested in Docker since it was in version 0.7, back then it wasn’t nearly as stable as it is now although even then it was gaining popularity very quickly.
My main programming language is PHP, I love PHP because there are fantastic frameworks that make web development a breeze with it. Some people tell me that PHP is an ugly language to code in, and yes, it’s true that PHP makes it easy to write hacky, dirty code. Buuut, if you know what you’re doing you can also write really beautiful code, and I love beautiful code.
In my day job I’m a PHP developer but I love doing “devopsy” things too. In particular I’m very interested in the workflow from development to production. I have a huge dislike for manual testing and I dream of continuous deployment workflows with fully automated test suites that cover most problems so that a developer can push and forget, knowing that their change will go into production automatically if everything is ok, and that bugs will be caught before they can cause trouble in production.
I work on web applications mostly and I'm a big fan of Docker. I run all of my personal projects in docker containers in production, at the moment I have about 20 different containers running in production. I also help the companies that I work in to use Docker in their own applications.
I’m the co-organizer of the Docker Meetup in Barcelona and I love teaching Docker to anyone who wants to learn. I’m hugely excited to teach on Udemy and I really hope you enjoy my courses.