DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
DevOps process can be visualized as an infinite loop, comprising these steps: plan, code, build, test, release, deploy, operate, monitor. Throughout each phase, teams collaborate and communicate to maintain alignment, velocity, and quality. This course in the DevOps on AWS specialization focuses on code, build and test parts of the workflow. We will discuss topics such as source control, best practices for Continuous Integration, and how to use the right tools to measure code quality, by identifying workflow steps that could be automated.
What You Will Learn
- Understand the DevOps philosophies and its lifecycle
- Implement and manage continuous delivery systems and methodologies on AWS
- How to use the right tools to measure code quality by identifying workflow steps
Course 2 of 4 in the DevOps on AWS Specialization.
Syllabus
WEEK 1
This week, you will be introduced to DevOps cultural philosophies, practices, and tools that you can use to deliver applications and services faster and at a higher quality. Building off this knowledge, you will get hands-on with AWS services, such as AWS Cloud9, by setting up a development environment for a sample application.
WEEK 2
In the second week, you will discover why it’s important for teams to incorporate testing into the software development lifecycle at different stages of the continuous integration and continuous delivery (CI/CD) pipeline. You will get hands-on with AWS solutions by performing various application tests with AWS CodeBuild, automate your release process with AWS CodePipeline, and automate code deployments with AWS CodeDeploy.
