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Create and Deploy applications using CodeDeploy and CodePipeline

Lab Details

  1. This lab walks you through how to create a two-stage pipeline that uses an Amazon S3 bucket having versioning enabled and uses AWS CodePipeline to deploy a sample application.

  2. Duration: 90 minutes

  3. AWS Region: US East (N. Virginia) us-east-1

Introduction

What is AWS CodePipeline?

  • AWS CodePipeline helps you in modeling, visualizing, and automating the steps required to continuously deliver the release of your software.

  • Using AWS CodePipeline, you can create and configure various stages of a software release process. It helps you automate the delivery of software having a frequent release.

  • AWS CodePipeline can help you do various tasks, such as

    • Automating release process of software delivery

    • View Pipeline history details

    • Customize the stages and action

    • Choose the source, build and deploy stage.

    • Add the manual approval for the release process.

    • Integration with various AWS Services.

  • AWS CodePipeline at a glance.

  • Source: A place where source code with its revisions is stored. It can be Amazon S3 Bucket, CodeCommit repository, or Git-based repositories such as GitHub and Bitbucket.

  • Build: In this phase, the buildspec.yml file plays a very important role. This is the phase where software is tested and build. 

  • Staging: A place where code is deployed into a testing environment or also called a pre-production environment. You use this phase to test the software before making it live for public users. This is an optional stage if the application is well tested before uploading to the source.

  • Manual approval: This phase helps software engineers to get the approval for the code, deployed and well tested into the testing environment. It uses SNS to get the approvals on the email. This is the optional stage.

  • Deploy: The last phase for the delivery of software. Using AWS CodePipeline, applications can be deployed on Amazon EC2 Instances using CodeDeploy, Elastic Beanstalk, or AWS OpsWorks Stacks. 

Architecture Diagram

Task Details

  1. Launching Lab Environment

  2. Launching an EC2 Instance

  3. SSH into EC2 Instance

  4. Install AWS CLI, and CodeDeploy Agent

  5. Copy the S3 Bucket key

  6. Create a CodeDeploy application and Deployment Group

  7. Create a CodePipeline pipeline and deploy the application on the instance

  8. Test the application using EC2 Instance Public IPv4 DNS

  9. Validation of the lab

  10. Delete the resources created