This course will show you how Developers and Quality Assurance Engineers can automate and streamline their processes with Docker.
Containers are becoming the de-facto standard to deploy applications, as they are very easy to use, as well as cost-effective. Containers can help everyone involved in the application lifecycle, be it Developers, Quality Assurance Engineers, or Operations Engineers. In this course we will see how Developers and Quality Assurance Engineers can automate and streamline their processes with Docker.
We will quickly review some Docker basics and then, with the help of a sample application, we will walk through the lifecycle of that application with Docker. Throughout the course we will see how a Developer working on his workstation can confidently deploy the application in production. The Developer would work on his/her IDE, from which he/she would commit the code to GitHub. Once the code is committed, test cases would get triggered and, if they pass, the application would get deployed in the staging environment. We will also see how the process can be extended to deploy the application in production.
Chapter 1. Course Introduction
Chapter 2. Installing Docker
Chapter 3. Docker Essentials for Developers and Quality Assurance
Chapter 4. Becoming Familiar with Sample Applications
Chapter 5. Deploying a Multi-Container App with Docker Compose
Chapter 6. Setting Up the Development Environment
Chapter 7. CI/CD and Jenkins Overview
Chapter 8. Docker Containers as Jenkins Agents
Chapter 9. CI/CD with Jenkins
Chapter 10. Basics of Container Orchestration
Chapter 11. Container Orchestration with Docker Swarm
Chapter 12. Service Discovery, Reverse Proxy and Load Balancing
Chapter 13. The End-to-End Workflow of an App with Containers
Chapter 14. Introduction to Microservices
- Access to a workstation with Linux, Mac, or Windows installed
- Familiarity with the command line
- Working knowledge of Docker, Git, and GitHub
- Basic understanding of Cloud
- Access to a Linux server or Linux desktop/laptop, if not accessing the DigitalOcean Cloud
- Basic knowledge of Python.
“Lab exercises (hands-on) are quite complete, rich and deep.” May 2019
“The way the course was delivered and exercises given is good practice.” Feb 2019
“This course has helped me gain a new perspective on the way Linux systems should be built. Containers have much more sense to me now.” Dec 2018
At a Glance
- 40 hours of Course Material
- Hands-on Labs & Assignments
- Video Content
- 12 Months of Access to Online Course
- Discussion Forums