GitLab Multi-Project Pipeline Example

GitLab's multi-project pipeline is a powerful feature that allows you to manage and visualize the workflow of multiple projects simultaneously. This can significantly enhance your productivity and collaboration, especially in complex environments. Let's explore an example of how to set up and use a multi-project pipeline in GitLab.

Using Git Submodules in GitLab CI/CD Pipelines
Using Git Submodules in GitLab CI/CD Pipelines

Before we dive in, ensure you have a GitLab instance with at least two projects. For this example, let's assume we have 'Project A' and 'Project B', both with their own pipelines. We'll create a multi-project pipeline to monitor and manage their workflows together.

a diagram showing the different types of cloud computing and what they are doing to them
a diagram showing the different types of cloud computing and what they are doing to them

Setting Up the Multi-Project Pipeline

To create a multi-project pipeline, you'll first need to access your GitLab instance's pipelines page. This can be found in the top menu under 'CI/CD' and then 'Pipelines'.

Client Challenge
Client Challenge

Once there, click on the 'New pipeline' button. This will open a dialog box where you can select the projects you want to include in your multi-project pipeline. For our example, select 'Project A' and 'Project B'.

Defining Pipeline Stages

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After selecting your projects, you'll be taken to the pipeline configuration page. Here, you can define the stages of your pipeline. Stages help you organize your pipeline into separate, sequential phases, such as 'Build', 'Test', and 'Deploy'.

For our example, let's define the following stages: 'Build', 'Test', and 'Deploy'. You can add stages by clicking on the 'Add stage' button and entering the stage name.

Configuring Pipeline Triggers

a screenshot of a project plan with pie chart and bar graph in the bottom left corner
a screenshot of a project plan with pie chart and bar graph in the bottom left corner

Next, you'll need to configure pipeline triggers. Triggers determine when your pipeline should run. GitLab offers several trigger options, such as running the pipeline on every push or only when a specific branch is pushed.

For our example, let's configure the pipeline to run on every push to the 'main' branch in both 'Project A' and 'Project B'. You can set this up in the 'Triggers' section of the pipeline configuration page.

Using the Multi-Project Pipeline

a flow diagram with several different types of items
a flow diagram with several different types of items

Now that your multi-project pipeline is set up, you can use it to monitor and manage the workflow of 'Project A' and 'Project B'. The pipeline will display the status of each project's pipeline stages, allowing you to see at a glance where each project is in its workflow.

For example, if 'Project A' is currently in the 'Test' stage and 'Project B' is in the 'Build' stage, you can see this clearly in your multi-project pipeline. This can help you identify bottlenecks and plan your work accordingly.

Planning
Planning
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Viewing Pipeline Logs

If you need more detailed information about a pipeline stage, you can view its logs. The pipeline logs provide a detailed record of what happened during each stage, including any errors that occurred.

To view the logs, click on the pipeline stage in your multi-project pipeline. This will open a panel displaying the logs for that stage. You can then scroll through the logs to find the information you need.

Managing Pipeline Jobs

Sometimes, you may need to manage pipeline jobs manually. For example, you might need to retry a failed job or cancel a running job. GitLab allows you to do this directly from the multi-project pipeline.

To manage a job, click on the job in your pipeline. This will open a panel displaying detailed information about the job, including its status and any logs. You can then use the buttons in this panel to manage the job as needed.

With your multi-project pipeline set up and configured, you're ready to start managing and monitoring the workflow of multiple projects simultaneously. This can significantly enhance your productivity and collaboration, helping you to keep your projects on track and on schedule.