Book Image

AWS Automation Cookbook

By : Nikit Swaraj
Book Image

AWS Automation Cookbook

By: Nikit Swaraj

Overview of this book

AWS CodeDeploy, AWS CodeBuild, and CodePipeline are scalable services offered by AWS that automate an application's build and deployment pipeline. In order to deliver tremendous speed and agility, every organization is moving toward automating their entire application pipeline. This book will cover all the AWS services required to automate your deployment to your instances. You'll begin by setting up and using one of the AWS services for automation –CodeCommit. Next, you'll learn how to build a sample Maven and NodeJS application using CodeBuild. After you've built the application, you'll see how to use CodeDeploy to deploy the application in EC2/Auto Scaling. You'll also build a highly scalable and fault tolerant Continuous Integration (CI)/Continuous Deployment (CD) pipeline using some easy-to-follow recipes. Following this, you'll achieve CI/CD for a microservice application and reduce the risk within your software development life cycle globally. You'll also learn to set up an infrastructure using CloudFormation templates and Ansible, and see how to automate AWS resources using AWS Lambda. Finally, you'll learn to automate instances in AWS and automate the deployment lifecycle of applications. By the end of this book, you'll be able to minimize application downtime and implement CI/CD, gaining total control over your software development lifecycle.
Table of Contents (11 chapters)

Creating a CodeBuild project for the build stage

In this recipe, we will create a CodeBuild project, which will build the image and push it to ECR using BuildSpec.yml.

Getting ready

We will be carrying out following operations to create a CodeBuild project CB-ECSAPP:

  • Create a CodeBuild project with the name CB-ECSAPP and integrate it with the CodeCommit.
  • While selecting build environment, we need to select Ubuntu OS and runtime as Docker because while in the build process, the docker image will get build and for that, the build environment should have a docker client installed.

Let's go ahead and create a build project for the build stage of pipeline.