GitLab CI/CD Advanced

Understands .gitlab-ci.yml structure: stages, jobs, scripts, artifacts. Runs pipelines, reads logs and understands job statuses. Knows basic concepts: variables, cache, execution rules (rules/only/except).

Creates .gitlab-ci.yml with basic stages: build, test, deploy. Configures GitLab SAST and Dependency Scanning in pipeline. Uses GitLab Container Registry for image storage. Applies protected branches and merge request approvals. Understands GitLab runners and pipeline triggers.

Understands GitLab CI/CD pipeline structure (stages, jobs, artifacts). Applies basic practices for triggering ML training pipelines via .gitlab-ci.yml. Follows team conventions for model artifact storage and pipeline variable usage.

Develops CI/CD pipelines in GitLab: multi-stage pipelines, parent-child and downstream pipelines, include templates. Configures GitLab Runners (Docker, Kubernetes executors), manages variables, environments and review apps.

Develops multi-stage GitLab CI pipelines with security scanning: SAST, DAST, Container Scanning, License Compliance. Configures GitLab Auto DevOps with review apps. Introduces parent-child pipelines for complex deployments. Manages GitLab runners with Docker executor and security isolation.

Independently creates multi-stage GitLab pipelines for ML workflows (data validation, training, evaluation, registry push). Configures GPU runners, DVC integration, and model registry artifacts. Automates experiment tracking and model promotion with pipeline triggers and API calls.

Designs CI/CD platform on GitLab: shared pipeline templates for the organization, dynamic child pipelines, DAG optimization. Configures GitLab Runner autoscaling on Kubernetes, integrates with Vault for secrets, implements compliance pipelines.

Designs GitLab CI/CD platform for the organization: shared runners, custom executors, pipeline efficiency. Introduces GitLab Security Dashboard for centralized vulnerability view. Configures compliance pipelines for enforced security checks. Creates CI/CD component library for reuse.

Architects CI/CD with GitLab CI/CD Advanced. Optimizes pipeline speed and reliability. Implements progressive delivery.

Defines GitLab CI/CD standards for the organization: include template library, compliance framework, runner infrastructure standards. Designs multi-project pipeline architecture, DORA metrics for delivery effectiveness evaluation.

Defines CI/CD strategy on GitLab for the organization. Manages GitLab Premium/Ultimate with SAML SSO and audit events. Builds GitOps workflow with GitLab Agent for Kubernetes. Introduces compliance framework with mandatory pipeline stages. Optimizes pipeline performance and runner fleet management.

Defines the DevOps strategy with GitLab CI/CD Advanced. Establishes CI/CD standards. Implements platform engineering approaches.

Develops DevOps platform strategy based on GitLab: end-to-end from SCM to production, Security integration, Package Registry, Infrastructure. Defines enterprise GitLab instance architecture with HA, geo-replication and DR plan.

Architecturally defines DevSecOps platform based on GitLab. Designs multi-tenant CI/CD architecture. Defines GitLab migration strategy or integration with existing tools. Develops enterprise-wide CI/CD standards. Influences GitLab roadmap through customer advisory board.

Shapes the GitLab CI/CD strategy for the organization-level MLOps platform: unified include templates for ML pipelines, standards for model training and deployment stages. Designs GitLab Runners architecture with GPU support, MLflow integration for automatic experiment tracking from pipelines, and model promotion policies through environments.