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.
Duration: 90 minutes
AWS Region: US East (N. Virginia) us-east-1
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.
Launching Lab Environment
Launching an EC2 Instance
SSH into EC2 Instance
Install AWS CLI, and CodeDeploy Agent
Copy the S3 Bucket key
Create a CodeDeploy application and Deployment Group
Create a CodePipeline pipeline and deploy the application on the instance
Test the application using EC2 Instance Public IPv4 DNS
Validation of the lab
Delete the resources created