Advanced Artifact Management

For more advanced artifact management, GitLab CI/CD provides additional options:

Expire Artifacts

You can set an expiration time for artifacts, after which they will be automatically deleted. This helps manage storage usage.

To incorporate advanced artifact management features into your .gitlab-ci.yml file for the calculator project, you can implement expiration times for artifacts and expose artifacts to all jobs. Here’s how to do it:

Updated .gitlab-ci.yml for the Calculator Project with Advanced Artifact Management

build_job:
  stage: build
  script:
    - echo "Building the application..."     
    - pip install -r requirements.txt     
    - echo "Build complete"
  artifacts:
    paths:
      - build/
    expire_in: 1 week

Restrict Artifact Downloads

Use artifacts:access to control who can download artifacts from the GitLab UI or API. This setting does not change which CI/CD jobs receive the artifacts.

build_job:
  stage: build
  script:
    - echo "Building the application..."     
    - pip install -r requirements.txt     
    - python setup.py build --build-base build
    - echo "Build complete"
  artifacts:
    paths:
      - build/
    access: developer
    expire_in: 1 week

Explanation of Advanced Artifact Management

1. Expiration Time (expire_in):

The expire_in field specifies how long GitLab should keep the artifacts before automatically deleting them. In the examples above, artifacts are set to expire after one week, which helps manage storage and keep your project tidy.

2. Restrict Downloads (access: developer):

• Only users with at least the Developer role can download these artifacts through the GitLab UI or API. Artifact transfer between CI/CD jobs is controlled separately through stages, dependencies, or needs:artifacts.

Practical Steps for Implementation

1. Update your .gitlab-ci.yml file: Modify your existing .gitlab-ci.yml file in your Data Analysis Project repository with the new configurations provided above.

2. Test the Pipeline: Commit and push the changes to trigger the pipeline in GitLab. Ensure that the pipeline runs correctly, with artifacts being stored, accessed, and expiring as expected.

3. Access Artifacts: After the pipeline runs, check the GitLab interface to verify that artifacts are stored, accessible, and subject to the expiration rules you’ve defined.