Continuous delivery has become an important part of our lives as software developers because it helps with faster software deployment.
The AWS CodePipeline is gaining traction for its automation features. It allows you to automate the entire process, starting from code integration to software deployment.
This article will help you understand the fundamentals of AWS CodePipeline and how you can use it to simplify the continuous delivery process of your projects
What Is the AWS CodePipeline and What Are Its Concepts?
AWS CodePipeline is a fully managed service that helps users in automating code development, testing, and deployment.
It is a cloud-based continuous integration and continuous delivery (CI/CD) solution with which developers can quickly and efficiently release new features and updates to their applications.
Several key concepts of CodePipeline are:
- 1
Stages
You may set up a pipeline with numerous stages, such as build, test, and deploy, using CodePipeline. Each stage may have one or more actions, which are particular jobs that must be done.
- 2
Activities
You may set up several actions using CodePipeline, including build, test, and deploy. AWS services like AWS CodeBuild, AWS CodeDeploy, and AWS CodeStar, as well as third-party services like Jenkins, may be used to carry out these tasks.
- 3
Approvals
CodePipeline enables you to set up approvals for certain pipeline stages, enabling team members to examine and provide their consent to modifications before they are implemented.
- 4
Artifacts
CodePipeline enables you to handle artifacts produced by the pipeline, such as compiled code and configuration files.
- 5
CloudWatch Events
To initiate pipeline execution and status changes, CodePipeline makes use of CloudWatch Events.
What Are the Most Common Use Cases of AWS CodePipeline?
AWS CodePipeline is a powerful tool that may be used for a variety of purposes, the most frequent of which are as follows
AWS CodePipeline Vs. AWS Codebuild: Features & Pricing Comparison
Amazon Web Services (AWS) offers two services that are used to automate the development, testing, and deployment of code: AWS CodePipeline and AWS CodeBuild.
AWS CodePipeline | AWS Codebuild |
|---|---|
features | |
A fully managed continuous delivery solution called CodePipeline aids teams in automating the construction, testing, and deployment of code. | Building, testing, and deploying code is simple with CodeBuild, a fully managed continuous integration service. |
Teams may connect to several source code repositories, such as AWS CodeCommit, GitHub, and Bitbucket, to set up a pipeline with several phases. | Without having to set up and maintain their own build servers, CodeBuild enables developers to create, test, and package their code using a number of build environments. |
To allow team members to evaluate and approve modifications, CodePipeline enables teams to set up approvals for specific pipeline stages. | You may utilize pre-defined build environments or create your build environments using Docker images with CodeBuild. |
Pricing | |
Each pipeline on CodePipeline is charged a monthly fee, plus extra fees for the volume of activities and data transported. | Charges for data transport and storage of build artifacts are in addition to the per-minute build fee for CodeBuild. |
How to Set Up and Run an AWS CodePipeline for Code Deployments?
Given below are the steps for setting up and running an AWS CodePipeline:
- 1
Create an AWS CodeCommit repository or connect to one that already exists.
- 2
Now to build, test, and package your code, create an AWS CodeBuild project.
- 3
Next you have to deploy your code to one or more environments for that create an AWS CodeDeploy application and deployment group.
- 4
To automate the process of building, testing, and deploying your code, create an AWS CodePipeline to connect the preceding processes.
You can even add extra stages to the pipeline, such as testing and approvals, to fully tailor your CI/CD process.
What Are the Pros and Cons of Using AWS CodePipeline?
Pros
Cons
Tips for Optimizing Your CodePipeline and Troubleshooting Problems
Conclusion
To conclude, if you are looking to automate the process of writing, testing, and deploying your code, AWS CodePipeline should be your go-to tool. It gives you the ability to monitor, configure, and automate the CI/CD workflow.
However, on the downside you may find it difficult to set up and operate since it has little third party engagement. Also, it’s a paid service. You can surely try it once if you are starting with automation.
