CI/CD pipeline on AWS (Part 4) - CodePipeline
In the previous three blogs, we have covered the setup and configuration of AWS CodeCommit, CodeBuild, and CodeDeploy. In this blog, we will focus on creating a Deployment group for our EC2 instance and integrating it with AWS CodePipeline. By doing so, we will automate the deployment process and ensure that any changes made to the code in the CodeCommit repository are automatically built and deployed to our EC2 instance. Let's dive into the details.
What is CodePipeline?
CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define. Think of it as a CI/CD Pipeline service. It allows you to automate the release process for your applications by defining a series of stages and actions.
CodePipeline integrates with other AWS services, such as CodeCommit, CodeBuild, and CodeDeploy, as well as third-party tools, to enable end-to-end software delivery pipelines.
Key features of AWS CodePipeline
Pipeline Definition: You can define a series of stages and actions to orchestrate the release process for your application.
Integration with AWS Services: CodePipeline integrates with various AWS services, including source code repositories (CodeCommit, GitHub, etc.), build services (CodeBuild), deployment services (CodeDeploy, Elastic Beanstalk, etc.), and testing services (AWS Device Farm, etc.).
Extensibility: You can extend CodePipeline's capabilities by integrating with third-party tools and services using custom actions or AWS Lambda functions.
Visual Workflow: CodePipeline provides a visual representation of your release process, making it easy to understand and troubleshoot your pipelines.
Artifact Management: CodePipeline handles the management and versioning of artifacts (e.g., source code, build artifacts) throughout the pipeline.
Security and Permissions: CodePipeline integrates with AWS Identity and Access Management (IAM) to manage user permissions and access controls for pipeline actions.
TASK
Create a Deployment group of Ec2 Instance.
Create a CodePipeline that gets the code from CodeCommit, Builds the code using CodeBuild and deploys it to a Deployment Group.
We need to have a Deployment group for this activity. You can follow my previous three blogs.
Create a Deployment group of EC2 Instance.
Navigate to the CodePipeline section in the AWS management console.
Provide a name for your pipeline and select "Create a new Service Role" option.
In the "Source provider" section, choose "AWS CodeCommit" and select the repository and branch you want to deploy then click "Next."
In the "Build provider" section, choose "AWS CodeBuild" and select the relevant build project. Click "Next."
Under the "Deploy provider," choose "AWS CodeDeploy" and select the previously created deployment group. Click "Next."
Review the pipeline details and click "Create pipeline."
The pipeline will automatically trigger a build and deploy the updated code to the EC2 instance.
Congratulations! You have successfully created a CodePipeline that automates the deployment process.
Yaahoo!!!! our pipeline is successfully run.
To verify this let us reach our NginX server via our EC2 instance's Public IPv4.
If you have made changes to the index.html file and committed them to the CodeCommit repository.
The pipeline will automatically pick up the updated code, build it, and deploy it to the server.
Refresh your browser to see the changes reflected.
Summary of the CI/CD Pipeline series on AWS:
In this series of four blogs, we will be exploring the AWS CI/CD pipeline using various AWS services such as CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. We will start by setting up a code repository on AWS CodeCommit and learning how to clone it to our local machine. Then, we will cover the process of adding new files, committing changes, and pushing them to the CodeCommit repository. We will also delve into working with multiple branches and pushing local files to different branches.
Next, we will dive into AWS CodeBuild and learn how to add a buildspec.yaml file to the CodeCommit repository. We will configure CodeBuild to automate the build process, utilize an Nginx server to build our files, and store the artifacts in an S3 bucket. Through this, we will gain hands-on experience with building and deploying applications using CodeCommit and CodeBuild in AWS.
Moving forward, we will shift our focus to AWS CodeDeploy in the third blog. Here, we will explore the process of deploying an index.html file on an EC2 machine using Nginx. We will cover the setup of CodeDeploy, creation of a deployment group, installation of the CodeDeploy agent on an EC2 instance, and the actual deployment process. Additionally, we will create an appspec.yaml file to define the deployment actions and scripts for installing and starting Nginx. Throughout this blog, we will utilize other AWS services like CodeCommit, CodeBuild, and IAM roles to ensure a seamless and efficient deployment.
Finally, in the last blog, we will delve into AWS CodePipeline. We will create a deployment group for our EC2 instance and integrate it with CodePipeline to automate the deployment process. By following the step-by-step instructions, we will configure the pipeline to trigger a build and deploy the updated code to our EC2 instance whenever changes are made in the CodeCommit repository. We will conclude by verifying the successful deployment and viewing the changes reflected in the browser.
Conclusion:
In this series of blogs, we have explored various AWS services to establish a complete CI/CD pipeline. We started by setting up a code repository on AWS CodeCommit, enabling version control and collaboration. Then, we utilized CodeBuild to automate the build process, creating artifacts and storing them in an S3 bucket. Moving on to CodeDeploy, we successfully deployed an index.html file on an EC2 machine using Nginx, ensuring a smooth deployment process. Finally, we integrated CodeDeploy deployment groups with CodePipeline to automate deployments triggered by changes in the CodeCommit repository.
By following these blogs, readers have gained a comprehensive understanding of AWS CI/CD pipelines, leveraging the power of CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. These tools and services provide developers with efficient and automated deployment workflows, enabling them to focus more on their application logic and less on manual deployment tasks. AWS CI/CD pipelines facilitate faster and more reliable software delivery, ultimately enhancing the overall development and deployment experience.
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— Happy Learning !!!