Blog CI/CD

Browse articles that include the CI/CD tag

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Tutorial: How to set up your first GitLab CI/CD component Use Python scripts in your GitLab CI/CD pipelines to improve usability. In this step-by-step guide, you'll learn how to get started building your own CI/CD component. Authors: Noah Ing, Sophia Manicor Read Post
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3 GitLab features to level up DevSecOps workflows

Fix broken pipelines faster, better understand security vulnerabilities, and filter out false positives with our latest platform improvements.

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Use GitLab Duo to build and deploy a simple Quarkus-native project

This tutorial shows how a Java application is compiled to machine code and deployed to a Kubernetes cluster using a CI/CD pipeline. See how AI makes the process faster and more efficient.

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How to include file references in your CI/CD components

Learn how to include scripts and dependencies in your CI/CD components to minimize duplications and simplify maintenance. This tutorial takes you step-by-step through the process.

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Seamlessly migrate from Jira to GitLab with Jira2Lab at scale

Discover how Jira2GitLab simplifies large-scale Jira-to-GitLab migrations by handling complex data transfers, improving scalability, and ensuring efficient integration.

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Tutorial: Integrate GitLab Merge Request approvals with external systems

Learn how to improve GitLab extensibility and integration with external applications in this demo. The result: a seamless integration that provides more control over merge requests.

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Why GitLab is deprecating compliance pipelines in favor of security policies

Learn about our decision to deprecate compliance pipelines and how to migrate to pipeline execution policies. The process is detailed in this tutorial.

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Using child pipelines to continuously deploy to five environments

Learn how to manage continuous deployment to multiple environments, including temporary, on-the-fly sandboxes, with a minimalist GitLab workflow.

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GitLab Pages features review apps and multiple website deployment

GitLab Pages helps organizations reap the rewards of knowledge management, including better collaboration and accessibility. Learn how to use a new feature, Parallel Deployments.

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Build an ML app pipeline with GitLab Model Registry using MLflow

Learn how to manage your ML apps entirely through GitLab with this tutorial. Also discover the role machine learning operations, or MLOps, plays in automating the DevSecOps lifecycle.

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