What is Git Pipeline and How to Use it With Bitbucket and Gitlab In 2026

Nov 2, 2017 25875 Updated: July 8, 2026
What is Git Pipeline and How to Use it With Bitbucket and Gitlab In 2026

Git Pipeline provides an extensible set of tools for modeling build, testing, and deploying code. All jobs in a stage are executed simultaneously, and if it succeeds, the pipeline moves on to the next stage. If one of the jobs fails, the next stage is usually not executed.

Stages

The following pipeline job steps in Magento 2.2 projects:

1. Build – compilation and packaging of the project.
2. Testing – automated testing with default data.
3. Staging – manual testing and decision on going live.
4. Production – manual.

pipelines

Modern Magento projects usually use CI/CD pipelines with Docker-based environments and supported PHP versions. The pipeline configuration should include dependency installation, automated tests, static content deployment, and build artifacts. Environment variables and secret management should be used for database credentials, API keys, and deployment settings. Before deploying to production, teams commonly add approval steps and automated checks to reduce deployment risks.

How is it used with Bitbucket and GitLab?

Typically, the definition of a Git Pipeline is written into a text file, which is checked into a project’s source control repository.

Bitbucket:
bitbucket-pipelines.yml
GitLab:
.gitlab-ci.yml

Bitbucket features

– Custom params
– SSH Keys
– Integration with third-party services
– Free instances (4GB of RAM; 2 hours execution time; 5GB of disk space)

Bitbucket Pipeline Structure

In order to describe the pipeline, we use yml.

What is Git Pipline

Bitbucket example

bitbucket-pipelines.yml

Limitations of Bitbucket Pipelines

The free Bitbucket plan comes with a set number of builds and is available for only 50 minutes each month.

Features that are not available for Pipelines yet:
1. Building Windows applications
2. Accessing services like artifact repositories or container registries behind a firewall

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GitLab features

– Multi-platform
– Custom params
– SSH Keys
– Integration with third-party services
– Free instances
– Support local machine and private services
– Triggers

GitLab Pipeline Structure

The GitLab structure of the pipeline is similar to the Bitbucket structure, with some minor differences:

Limitations of GitLab Pipelines

You are limited to using only the CI predefined variables in the environment: name. If you try to reuse variables defined inside a script as part of the environment name, it will not work.

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FAQs for Git Pipeline

What is a Git pipeline?

A Git Pipeline is an automated workflow that provides an extensible set of tools for modeling, building, testing, and deploying code. All jobs in a stage are executed simultaneously, and if they succeed, the pipeline moves on to the next stage. If one of the jobs fails, as a rule, the next stage is not executed.

Why should I use a Git pipeline for my development workflow?

Using a pipeline in Git helps automate key tasks such as testing, building, and deploying your code. It reduces manual work, catches errors early in the process, and maintains consistent code quality. A Git pipeline also makes it easier for teams to work together by following a clear and repeatable workflow.

How do I create a Git pipeline in GitLab or Bitbucket?

To create Git pipelines in GitLab, start by adding a `.gitlab-ci.yml` file to your repository. This file defines the stages and jobs, such as build, test, and deploy, that the pipeline will run. Once the file is committed, GitLab automatically triggers the pipeline on each push or merge. In Bitbucket, you can set up Git pipelines by adding a `bitbucket-pipelines.yml` file at the root of your project. Inside this file, define the steps your code should go through. After enabling Pipelines in your repository settings, Bitbucket will run the pipeline whenever changes are pushed to the repository.

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