Hosting

AWS CodeCommit Integration Guide

AWS CodeCommit is a fully-managed Git repository service by AWS. This guide covers setup, authentication, CI/CD integration, and comparisons with other platforms.

Who This Is For
  • Team leads or developers choosing a Git hosting solution
Prerequisites
  • Basic Git remote operation knowledge
  • Understanding of code hosting requirements
Common Risks
  • Comparing only feature lists while ignoring operational costs
  • Choosing a self-hosted solution without sufficient maintenance capacity

What you will learn

  • Understand the core purpose of AWS CodeCommit Integration Guide
  • Master the basic usage and common options of AWS CodeCommit Integration Guide
  • AWS CodeCommit is a fully-managed Git repository service by AWS. This guide covers setup, authentication, CI/CD integration, and comparisons with other platforms.
  • Understand key concepts: Repository Setup
  • Know when to use this feature and when to avoid it

Start with a problem

You're choosing or configuring a Git hosting solution — whether self-hosting Gitea or comparing GitHub, GitLab, and Gitee features. You're not sure which option best fits your team's needs.

One-Sentence Understanding

AWS CodeCommit is a fully-managed, AWS-native Git service — its biggest difference from GitHub/GitLab is the lack of a web-based PR interface, with all interaction happening through the AWS ecosystem and CLI.

Repository Setup

Create a Repository

aws codecommit create-repository --repository-name my-repo --repository-description "My project"

Clone an empty repository:

git clone codecommit::ap-northeast-1://my-repo
cd my-repo && git add . && git commit -m "Initial commit" && git push

IAM Authentication vs SSH

MethodProsCons
IAM User + HTTPSFine-grained access controlRequires IAM policy setup
SSH KeysFamiliar workflowKey management overhead
Git Credentials (HTTPS)Temporary credentials, no IAM userCredentials expire hourly

Example IAM policy:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "codecommit:GitPull",
        "codecommit:GitPush"
      ],
      "Resource": "arn:aws:codecommit:ap-northeast-1:123456789012:my-repo"
    }
  ]
}

HTTPS Git Credentials

Generate Git credentials in the IAM console, then configure:

git config --global credential.helper '!aws codecommit credential-helper $@'
git config --global credential.UseHttpPath true

HTTPS URLs will now authenticate automatically via the credential helper.

CodePipeline Integration

Use CodeCommit as the source stage in CodePipeline:

# buildspec.yml
version: 0.2
phases:
  install:
    commands:
      - npm install
  build:
    commands:
      - npm run build
artifacts:
  files:
    - 'dist/**/*'

Pipeline stages:

  1. Source: CodeCommit repository + branch
  2. Build: CodeBuild (via buildspec.yml)
  3. Deploy: ECS / Lambda / S3

Triggers & Notifications

aws codecommit create-trigger \
  --repository-name my-repo \
  --trigger-configuration name=my-trigger,events=all,destinationArn=arn:aws:sns:ap-northeast-1:123456789012:my-topic

Cross-Account Access

Share repositories across AWS accounts via AWS RAM:

Account A (Owner) → Create repo → Share with Account B
Account B (Collaborator) → Accept share → git clone cross-account

Alternatively, use IAM roles with AssumeRole to pull code across accounts.

Repository Mirroring & Migration

Mirror from GitHub to CodeCommit

git clone --mirror https://github.com/user/repo.git
cd repo.git
git remote add codecommit codecommit::ap-northeast-1://my-repo
git push --mirror codecommit

Use CodeBuild + EventBridge for periodic sync automation.

Migrate from Other Platforms

git clone --mirror <source-url>
cd repo.git
git remote add target <codecommit-url>
git push --mirror target
git lfs fetch --all && git lfs push --all target

Git LFS Support & Limitations

CodeCommit supports Git LFS with the following constraints:

FeatureLimit
Max file size5 GB (LFS files)
Repository sizeRecommended < 10 GB
LFS storageAdditional charge (per GB/month)
Concurrent pushesMax 30

CodeCommit's LFS is backed by S3, with higher latency than GitHub. Use it primarily for build artifacts and large binaries.

Comparison with GitHub/GitLab

DimensionCodeCommitGitHubGitLab
Web UI (PR/MR)NoYesYes
CI/CD integrationCodePipelineActionsGitLab CI
Permission modelIAM policyOrg/TeamRole/Group
Self-hosted optionNoNoCommunity Edition
PricingPay-per-usePer-seat + planPer-seat + plan

Try it yourself

  1. Practice the aws-codecommit command in a test repository and observe state changes before and after
  2. Experiment with different options and compare the output differences
  3. Simulate a real scenario where you would need to use this, and walk through the full process

Continue Learning

  1. hosting/platform-comparison — Platform comparison
  2. hosting/gerrit-code-review — Gerrit code review system
  3. github/github-flow-basics — GitHub Flow basics