Pipelines are the fundamental building blocks for CI/CD in GitLab. This page documents some of the important concepts related to them. You can structure your pipelines with different methods, each with their own advantages. These methods can be mixed and matched if needed:

When editing CI/CD configuration in GitLab, you should use the pipeline editor. You can also configure specific aspects of your pipelines through the GitLab UI: Pipeline settings for each project. Pipeline schedules. Custom CI/CD variables.

GitLab Runner is an application that works with GitLab CI/CD to run jobs in a pipeline. Self-managed runners are GitLab Runner instances that you install, configure, and manage in your own infrastructure. You can install and register self-managed runners on all GitLab installations.

This page describes the different data sources and the way we extract this data via data pipelines.

Nov 4, 2024 · In GitLab’s CI/CD architecture, two main components work together to automate the pipeline workflow: the GitLab Server and the GitLab Runner. Each has a unique role in managing and...

Apr 6, 2024 · My goal is to self-document my pipeline visually. When the pipeline runs, a job examines .gitlab-ci.yml, charts the yaml, and stashes the resulting [pdf, jpg] as an artifact.

Feb 4, 2021 · Hi Everyone: I encountered a problem about progress flow diagram of GitLab CI/CD Pipeline. I have a cross-platform C++ project is trying to integrate into GitLab CI/CD, but the progress flow diagram confuse me, it is cr…

Pipelines are the fundamental building blocks for CI/CD in GitLab. This page documents some of the important concepts related to them. You can structure your pipelines with different methods, each with their own advantages. These methods can be mixed and matched if needed:

Release notes New Trace Flow Chart that presents pipeline execution as a chart of execution times of each job in pipeline...

This MR introduces an additional section in the runner docs, providing an execution flow sequence diagram on the interaction between GitLab, GitLab Runner and the executors, including the usage of the individual relevant tokens (runner …