The AWS CodeBuild plugin zips the files and sends them to a predefined Amazon S3 bucket location then initiates the CodeBuild project, which obtains the code from the S3 bucket.This keeps the Jenkins workspace directory clean. The File Operation plugin deletes all the files cloned from GitHub.If it does find changes, Jenkins clones all the files from the GitHub repository to the Jenkins server workspace directory.If Jenkins finds no changes, Jenkins exits the procedure.Jenkins checks for any new changes on GitHub every two minutes.The automated Jenkins deployment process works as follows: In this testing scenario, I configured the trigger to perform every two minutes. This option makes Jenkins check the configured repository for any new commits/code changes with a specified frequency. In the second step of my automation procedure, I enabled a trigger for the Jenkins server using an “ Poll SCM” option. I chose the GitHub option, which by design clones a copy from the GitHub repo content in the Jenkins local workspace directory. To automate this scenario, I added source code management to the Jenkins project under the Source Code section. The deployment workflow starts by placing the application code on the GitHub repository. It then produces code artifacts that can be used by CodeDeploy to deploy to your production environment automatically. The functioning pipeline creates a fully managed build service that compiles your source code. When properly implemented, the CI/CD pipeline is triggered by code changes pushed to your GitHub repo, automatically fed into CodeBuild, then the output is deployed on CodeDeploy. In this post, I explain how to use the Jenkinsopen-source automation server to deploy AWS CodeBuild artifacts with AWS CodeDeploy, creating a functioning CI/CD pipeline.
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