Learn GITLAB-CI with Real Code Examples

GitLab - hosts repository and manages pipelines

GitLab Runner - executes jobs (can be shared, group, or specific)

Pipeline - sequence of stages and jobs

Artifacts/Cache - stored outputs for job sharing

Triggers and Schedules - initiate pipelines automatically

.gitlab-ci.yml -> GitLab -> Runner -> Job execution -> Artifacts/Deployments -> Pipeline status

Stages and jobs for sequential/parallel execution

Runner abstraction for execution flexibility

Artifacts and caching for inter-job data transfer

Triggers and schedules for automation

Environment deployment and review apps

Microservices CI/CD pipeline

Kubernetes deployment pipeline

Automated test pipeline for multiple branches

Docker image build and registry push pipeline

Multi-project trigger pipeline

Pipeline-as-code

Declarative job configuration

Parallelism and efficiency

Integration with version control

Extensibility via runners, scripts, and templates

Use multiple runners for parallel jobs

Split pipelines into stages for efficiency

Use caching to reduce build times

Scale jobs across shared or dedicated runners

Optimize Docker images and job scripts

Convert manual build scripts to GitLab CI jobs

Replace external CI/CD tools with GitLab pipelines

Automate deployments with stages

Use runners and executors for consistent environments

Integrate Docker/Kubernetes for containerized deployment