This article explains how to implement continuous integration for Python applications using AWS and GitHub by setting up an AWS CodePipeline to automate the integration and configuring AWS CodeBuild to handle the build process.
To begin, create a GitHub repository to store the source code for your Python application and ensure that it is correctly configured with the necessary files for your project.
Create a new AWS CodePipeline to automate the CI process, connect the pipeline to the GitHub repository, specifying the repository and branch.
In the AWS CodeBuild service, create a new build project, under the environment section choose the os as Ubuntu and select the latest image version. Enter the commands for building your Python application under the Buildspec section. Create the build project once everything is configured.
Navigate to AWS Systems Manager and create three parameters to connect to Docker Hub. These parameters will be used later to push the Docker image to Docker Hub.
In IAM, create the necessary roles and permissions for your build process. You’ll need roles for CodeBuild and CodeDeploy, ensuring they have access to push images to Docker Hub and interact with EC2 instances.
Set up the pipeline by defining the source, build, and deploy stages. For the source stage, select the GitHub repository and the branch to monitor. Skip the deployment stage for now if it’s not required.
In AWS EC2, launch a new instance for deployment. Ensure that the appropriate security groups are configured and connect to the instance via SSH. Verify that the CodeDeploy Agent is running.
In AWS CodeDeploy, create a new application and deployment group. Select the EC2 service role for CodeDeploy.
Use the latest commit and edit the CodeDeploy settings to deploy the updated version. Verify that all three stages (source, build, and deployment) succeed, ensuring the complete CI pipeline runs smoothly.