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GitLab CI Pipelines

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GitLab CI is GitLab's native pipeline system (similar to GitHub Actions). Features: built-in container registry, Kubernetes integration, artifact caching, protected environments. Popular in enterprises (on-premise GitLab) and security-conscious orgs. Mid-career: $110-155k. Senior architects optimize complex pipelines (100+ stages, multi-region). Mastery: 4-6 weeks.

GitLab CI Pipelines maali?

GitLab CI is GitLab's integrated continuous integration/deployment platform. Pipelines are defined in .gitlab-ci.yml (YAML) and trigger automatically on push, merge request, schedule. Key features: built-in container registry (push Docker images), Kubernetes integration, artifact caching, protected environments, runners (shared or self-hosted). Pipelines consist of stages (build, test, deploy) and jobs within each stage. Jobs can run in parallel or sequentially with dependencies. Output is artifacts (compiled binaries, reports) and deployment to environments (staging, production).

🔧 MEESHAALEE & SIRNA NAANNOO
GitLab CIPipelines (YAML)DockerKubernetesContainer RegistryArtifactsCachingProtected branchesRunnersDeployment environments

💰 Miindaa naannoodhaan

NaannooJalqabaaGiddu-galeessaAngafa
USA$85k$135k$195k
UK£52k£84k£125k
EU€58k€92k€140k
CANADAC$90kC$140kC$205k

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Github Actions Mastery

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What's the advantage of GitLab CI over GitHub Actions?
GitLab CI has built-in container registry (push images without Docker Hub). Kubernetes-native (deploy directly to cluster). Better for on-premise (self-hosted GitLab). GitHub Actions easier if already using GitHub.
How do I cache dependencies in GitLab?
Use `cache:` keyword with key and paths. Example: cache npm modules by Node version. Significantly speeds up pipelines.
Can I run pipelines on-premise?
Yes. Register self-hosted runners on your servers. GitLab CI can run on private infrastructure. Common in enterprises.
What are protected environments?
Deployments to production require approval. Protects against accidental deploys. Require manual approval or limit by IP/branch.
How do I handle multi-stage pipelines?
Define multiple stages (build, test, deploy). Jobs in each stage run in parallel; stages run sequentially. Use `needs:` for dependencies.

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