Blogtutorial

Browse articles that include the tutorial tag

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.
Authors: Evgeny Rudinsky, Michael LeopardRead Post

Recent posts

Product

Automate embedded systems compliance with GitLab and CodeSonar

Continuous compliance verification for ISO 26262, DO-178C, MISRA, and other code quality and functional safety standards.

AI/ML

Secure AI agent deployment to GKE

This guide explains how to deploy an ADK-based AI agent to Google Kubernetes Engine using GitLab's AI-powered DevSecOps platform, with ease and security.

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.

AI/ML

Modernize Java applications quickly with GitLab Duo with Amazon Q

Transform legacy Java 8 applications to Java 17 in minutes instead of weeks using AI-powered automation.

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.

Engineering

How we built a structured Streamlit Application Framework in Snowflake

Want to transform development from chaos to compliance? Learn how we implemented governance early on rather than retrofitting when maintenance costs climb exponentially.

Product

Optimize GitLab object storage for scale and performance

Configure GitLab object storage for maximum performance and cost savings. Learn consolidated forms, direct downloads, and identity-based authentication.

AI/ML

Agentic AI guides and resources

Learn everything you need to know about agentic AI, including what it is, how it works, why it levels up your DevSecOps environment, and best practices for implementation.

AI/ML

GitLab Duo Agent Platform adds support for Model Context Protocol

GitLab's MCP support enhances AI-powered dev workflows, connecting Duo Agent Platform as an MCP client and serving as an MCP server for external AI assistants.

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