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AWS CI/CD Explained for Beginners: CodeCommit, CodePipeline & More

Understand automated software delivery on AWS and how CodeCommit fits into the modern developer tools ecosystem.

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01 Aug 2026Source: Dev.to3 min read (0 views)Last updated 04 Aug 2026
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AWS CI/CD Explained for Beginners: CodeCommit, CodePipeline & More

Stock photo for illustration only, not from the actual event

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  • CI/CD automates software delivery to reduce manual errors and speed up releases.
  • AWS provides four main developer services: CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
  • AWS CodeCommit is a fully managed Git repository service hosted directly inside your AWS account.
  • Many organizations still prefer GitHub or GitLab for source control while leveraging AWS for building and deployment.

After learning how to provision AWS infrastructure manually in previous articles, the next logical question arises: how do we automatically deploy application updates whenever developers make changes? If an operations engineer had to handle every release manually, the process would become repetitive and highly prone to human error.

This is precisely where CI/CD steps in. Think of it like an assembly line in a factory where a product automatically moves to the next station as soon as the previous step is completed. Imagine developing an online shopping platform where every single update requires someone to:

  • Prepare application binaries and configuration files
  • Manually copy and deploy files onto production servers
  • Verify service health and troubleshoot issues
Doing this every day introduces unnecessary friction. AWS designed its developer tools ecosystem specifically to automate these repetitive workflows.

Before AWS introduced native developer services, companies relied on third-party CI/CD platforms that operated across various cloud providers. AWS wanted to offer a fully managed solution that eliminates the operational overhead of installing, patching, and maintaining standalone automation servers. The AWS CI/CD ecosystem centers around four core services: AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline.

software deployment pipeline diagram

Stock photo for illustration only, not from the actual event

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Adopting managed cloud CI/CD pipelines eliminates the heavy lifting of maintaining self-hosted automation servers like Jenkins. However, teams must weigh the convenience of tight cloud integration against the flexibility of multi-cloud or platform-agnostic tooling architectures.

Among these services, AWS CodeCommit acts as a fully managed Git repository service inside your AWS environment. It provides secure source code storage comparable to GitHub or GitLab, allowing teams to keep their repositories within their AWS infrastructure without managing underlying Git servers.

Despite its secure integration benefits, CodeCommit does have feature limitations. Consequently, many modern engineering teams still choose GitHub or GitLab for source code hosting while utilizing AWS CodeBuild, CodeDeploy, and CodePipeline to automate building, testing, and deploying workloads onto targets like EC2, ECS, and Lambda.

Source: Dev.to

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