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GitLab CI allows for automated build and testing processes, thus speeding up software development. It offers integrated features for deployment, monitoring, and managing DevOps workflows, allowing developers to significantly optimize their application development.
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Technical building block: can be automated, integrated, or operated.
Concrete cog in the system that works inside larger relationships.
GitLab CI automates checking, building, and delivering software through versioned pipeline configuration.
GitLab CI grew from GitLab’s goal of embedding continuous integration in its platform for source code and collaboration. The pipeline capability took shape from 2012 and evolved with GitLab into an integrated CI/CD platform.
A .gitlab-ci.yml defines stages, jobs, rules, and dependencies. Runners fetch code and execute jobs; artifacts, caches, environments, and variables carry results and configuration between steps.
YAML describes when jobs start and which steps they execute.
Runners provide the execution environment for individual jobs.
Artifacts, caches, and environments connect checks to delivery.
GitLab CI makes quality and delivery processes reproducible and visible. Unlimited runner privileges, long-lived secrets, and uncontrolled deployments increase risk; protected variables and approvals provide guardrails.
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