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AWS brings in a set of CI/CD engineer pipelines to quicken program advancement and development cycles. AWS CodePipeline automates the build, test, and deploy each time a code is altered.
AWS CodePipeline can also leverage the following things:
- Compiling, building, and testing code with AWS CodeBuild
- Continuous deployment of container-based applications to the cloud
- Pre-deployment approval of artifacts
- Easily interactive GUI with quick drag-and-drop options
AWS CodeCommit vs. GitHub
Storage Limit: AWS CodeCommit does not limit the file size and the number of files. Subsequently, you’ll be able to store many numbers of files. Whereas GitHub puts a restriction on the number of files. It permits you to store files of measure less than 100MB. If you surpass the maximum record capacity restrain, it pushes back to the repository.
Security: AWS CodeCommit uses AWS Identity and Access Management (IAM), making it highly secure. Because using IAM roles allow you to share the repositories with just a specific person and enable you to give access control to the repository, hence some users can make edits or push changes, few people can view the existing repository, etc. It also features multi-step authentication using MFA. On the other hand, GitHub is good for publishing free, open-source libraries and allows easy integration with many third-party tools with the ease of pull and merge requests. When we think about security, it is not as future-proof as the AWS CodeCommit service.
Pricing: Both Jenkins and AWS CodeCommit offer a free tier, but developers with higher specifications may better subscribe to its paid plans. GitHub offers three plans: the Team, Enterprise, and Free packages. The initial plan includes 50GB monthly storage and unlimited repositories. Apart from the existing five, additional active users will have to pay $1 monthly to use the service, avail of an extra 10GB monthly storage, and another 2,000 GIT requests. Compared to this, AWS CodeCommit again wins here with cheaper price options
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AWS CodeBuild vs. Jenkins
Management and Installation: When it comes to management and installation, AWS CodeBuild wins hands-down. Since it’s Software as a Service (SaaS), zero establishments or fixing is required. Onboarding to AWS CodeBuild requires onboarding your whole project, not standing up extra CI/CD framework. Jenkins is the inverse. At least, to get started with Jenkins, you would like to introduce and keep up a controller. For best execution, you’ll likely need to set up two or more build agents to get the best performance. And if you would like Jenkins to be profoundly accessible and continuously running? That’s entirely another set of work to go through. It also means regular patching and keeping up with the updates
Ease of use(GUI): Jenkins has its old-fashioned UI, which is less flexible and user-friendly, with the fewest options available. AWS Codebuild has a very user-friendly UI. The GUI is very simple, even for a beginner, and also can easily be synced with the source code(Code Commit)
Comparison of top companies using GitHub vs. AWS CodeBuild
When using AWS CodeCommit and AWS CodeBuild, users also get the advantage of in-house AWS services like AWS CodeDeploy, and AWS Beanstalk, which makes the CI/CD projects to be developed most efficiently and easily.
AWS CodeDeploy: AWS CodeDeploy is a fully managed deployment service that automates software deployments/integrations to various compute services, such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), AWS Lambda, and your on-premises servers. AWS CodeDeploy also helps to automate software deployments and integrations, eliminating the need for error-prone manual operations.
AWS Beanstalk: With AWS Elastic Beanstalk, you can quickly deploy and manage applications in the AWS Cloud without learning or managing the infrastructure that runs those applications in the background. Elastic Beanstalk decreases management complexity without putting restrictions on choice or control. You upload your software application, and Elastic Beanstalk automatically handles the details of load balancing, scaling, and application health monitoring capacity provisioning.
AWS CodePipeline: The whole process can be orchestrated using AWS CodePipeline. It is a continuous delivery service to model, visualize, and automate the steps required to release your software in a CI/CD environment. You can easily model and configure a software release process’s different stages. CodePipeline automates the stages required to release your software changes continuously once the code is pushed in AWS CodeCommit.
By comparing the above points, AWS CICD is faster, easier, and cheaper when compared to 3rd party applications when building and deploying projects in the CI/CD environment.
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Drop a query if you have any questions regarding AWS CI/CD and I will get back to you quickly.
1. What is AWS CI/CD?
ANS: – AWS CI/CD (Continuous Integration and Continuous Deployment) is a DevOps methodology that focuses on automating the software delivery process to improve the speed, reliability, and quality of software releases on the AWS platform.
2. What are the benefits of AWS CI/CD?
ANS: – The benefits of AWS CI/CD include faster release cycles, increased software quality, reduced deployment errors, improved collaboration between development and operations teams, and improved visibility and control over the software delivery process.
3. What are the components of AWS CI/CD?
ANS: – The components of AWS CI/CD include source code management, continuous integration, automated testing, artifact management, and continuous deployment.
WRITTEN BY Vinayak Kalyanshetti