Learn GITLAB-CI with Real Code Examples

Use caching to speed up repeated tasks

Split long-running jobs into parallel jobs

Use lightweight Docker images

Avoid unnecessary artifacts to reduce storage

Scale runners according to workload

Use protected branches for production deployments

Store secrets in GitLab CI/CD variables

Limit access to runners and pipelines

Scan code and dependencies for vulnerabilities

Avoid storing sensitive data in logs or artifacts

Pipeline dashboards in GitLab

Job execution logs

Runner status monitoring

Artifacts size and retention

Audit logs for compliance

Lint `.gitlab-ci.yml` files

Version control scripts and Dockerfiles

Use reusable templates

Document stages and job purposes

Validate pipeline with dry-run or manual testing