AWS CodePipeline Step by Step

Learn AWS CodePipeline with GitHub, CodeBuild, CodeDeploy, and DevOps-CI/CD on AWS from an AWS certified expert!

Created by: Emre Yilmaz • AWS Certified DevOps Engineer • Solutions Architect
Senior AWS Consultant & Instructor

What Will I Learn?

• Create CI/CD pipelines using AWS CodePipeline to automate your deployments to Amazon EC2, ECS and S3.
• Use GitHub repositories, AWS CodeBuild, AWS CodeDeploy with AWS CodePipeline.
• Learn AWS CodeDeploy in-place all-at-once, rolling and blue-green deployments with EC2 auto scaling and load balancing.
• Build your Docker images With CodeBuild and deploy them to ECS as rolling deployments with CodePipeline.
• Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each execution.
• Configure manual approval actions and pipeline notifications on your pipelines.
• View AWS CodeBuild build logs and AWS CodeDeploy deployment logs.
• Understand how AWS CodePipeline works in detail.

Requirements

• Intermediate-level AWS knowledge. It is recommended to have hands-on experience in manual deployments on AWS.
• Basic Git knowledge and experience in using Git commands from the command line.
• An AWS account which you have administrator privileges. Using an AWS free-tier eligible one is recommended. But there may be slight costs while doing the examples.
• Not required, but basic YAML knowledge is recommended for some CodeBuild and CodeDeploy lectures.
• We use Linux instances in examples. Hence, basic Linux knowledge is recommended.
• A GitHub account for private Git repositories to trigger pipelines.

Target audience

• Developers, system administrators or any AWS enthusiasts who would like to learn AWS CodePipeline to create their CI/CD workflows.
• Developers, system administrators or any AWS enthusiasts who deploy to Amazon EC2 or S3 and who would like to replace manual deployment processes with automation on AWS in order to avoid human errors.
• Developers, system administrators or any AWS enthusiasts who would like to minimize deployment failures on AWS.