5 ways GitLab pipeline logic solves real engineering problems
Learn how to scale CI/CD with composable patterns for monorepos, microservices, environments, and governance.
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AI/ML
Secure and fast deployments to Google Agent Engine with GitLab
Follow this step-by-step guide to build an AI agent with Google's Agent Development Kit and deploy to Agent Engine using GitLab.
Product
New GitLab metrics and registry features help reduce CI/CD bottlenecks
See how CI/CD Job Performance Metrics and Container Virtual Registry, currently in beta, help platform teams quickly spot slow jobs and simplify multi-registry container pulls.
Product
GitLab 18.7: Advancing AI automation, governance, and developer experience
GitLab 18.7 adds new automation, pipeline controls, and policy updates to help teams reduce manual work, simplify processes, and deliver safer releases.
Engineering
Guide: Migrate from Azure DevOps to GitLab
Learn how to carry out the full migration from Azure DevOps to GitLab using GitLab Professional Services migration tools — from planning and execution to post-migration follow-up tasks.
Security
Migrate from pipeline variables to pipeline inputs for better security
Follow this guide to learn about stronger controls around pipeline customization, including how to implement explicit declarations, type safety, and validation.
Engineering
Variable and artifact sharing in GitLab parent-child pipelines
Learn how to simplify complex CI/CD pipelines with these best practices for sharing data in more modular pipeline setups.
Product
How we supercharged GitLab CI statuses with WebSockets
Learn how we reduced API calls on GitLab's CI job status updates from 45 million to 3.4 million calls per day. Users now see job status changes instantly instead of waiting up to 30 seconds.
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