GitLab vs. Bitbucket: Which DevOps Tool Is Right for Your Organisation?
GitLab and Bitbucket are among the leading platforms for repository management, CI/CD, and the automation of development workflows. This comparison...
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GitLab CI/CD is an integrated system that allows development teams to automate the process of building, testing, and deploying their code. Unlike separate CI servers and deployment tools, GitLab provides a unified platform where version control and delivery pipelines coexist in one place.
This article explains how GitLab CI/CD works, which components you need to know, and why it has become a popular solution for automating software delivery workflows.
GitLab CI/CD combines Continuous Integration (CI) and Continuous Delivery (CD) in a single toolset.
CI automates the process of validating code changes. Every time you commit code, GitLab automatically runs tests and builds your project to catch errors early.
CD extends this by automating deployments to staging or production environments.
All pipeline logic is defined in a single YAML file (.gitlab-ci.yml), making CI/CD processes transparent and version-controlled.
To use GitLab CI/CD effectively, you should be familiar with the following building blocks:
One of the most impactful features in modern GitLab CI/CD is the introduction of CI Components – a major step forward in standardising and reusing pipeline logic.
Components are reusable, versioned pipeline modules that can be included via the GitLab CI/CD Catalog. Unlike traditional YAML includes or templates, components are fully composable and documented through the GitLab interface.
Write once, use everywhere – Create reusable logic for security scans, test frameworks, or deployment routines
Version-controlled & semantic – Each component is tagged and maintained like a regular package
Less boilerplate – Teams no longer need to duplicate similar logic across .gitlab-ci.yml files
CI/CD Catalog visibility – Components are discoverable across your organisation via the GitLab interface
include: - component: 'gitlab.com/gruppe/ci-components/docker-build@1.0.0' inputs: IMAGE_NAME: mein-service DOCKERFILE_PATH: ./Dockerfile |
This makes pipelines modular, consistent, and faster to maintain, especially across large project portfolios.
More info: Introducing GitLab CI Components
GitLab CI/CD offers a rich set of capabilities beyond basic automation:
Here’s what a typical GitLab CI/CD workflow looks like:
This automation significantly reduces human error and speeds up delivery cycles.
Keep pipelines fast: Use caching and parallel execution to reduce wait times
Start small: Introduce CI first, then gradually add CD and components
Leverage the component catalog: Avoid reinventing common steps
Use environment variables: Manage secrets and configs securely
Document your logic: Help teams understand and maintain shared pipelines
GitLab CI/CD is more than a pipeline engine – it's a full DevSecOps platform. With the addition of CI Components, organisations can now scale and standardise automation faster than ever.
Whether you're a small team looking to introduce automation or an enterprise aiming to unify delivery pipelines across departments – GitLab CI/CD offers the flexibility and power to support your goals.
Contact us today to learn how we can help implement GitLab CI/CD – including component libraries tailored to your architecture.
Discover how GitLab helps you streamline your toolchain, automate your workflows and boost Developer Experience – with one unified platform.
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