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  1. Pipelines are the top-level component of continuous integration, delivery, and deployment. Pipelines comprise: Jobs, which define what to do. For example, jobs that compile or test code. Stages, which define when to run the jobs. For example, stages that run tests after stages that compile the code. Jobs are executed by runners.

  2. Automated pipelines can help prevent errors that result from manual processes, allow for rapid product iterations, and provide consistent feedback during the development process. Each step of a CI/CD pipeline is a subset of tasks grouped into pipeline stages, which we discuss in detail further down in this article.

  3. A CI/CD pipeline is an automated process utilized by software development teams to streamline the creation, testing and deployment of applications.

  4. GitLab with Git Essentials - Hands-On Lab Overview. GitLab with Git Essentials - Hands-on Lab: Auto DevOps With a Predefined Project Template. GitLab with Git Essentials - Hands-on Lab: Build a .gitlab-ci.yml file. GitLab with Git Essentials - Hands-On Lab: Create a project and issue.

  5. Jul 12, 2019 · A GitLab pipeline executes several jobs, stage by stage, with the help of automated code. A continuous integration pipeline involves building something from the scratch and testing the same in a development environment.

  6. Pipelines are the top-level component of continuous integration, delivery, and deployment. Pipelines comprise: Jobs, which define what to do. For example, jobs that compile or test code. Stages, which define when to run the jobs. For example, stages that run tests after stages that compile the code. Jobs are executed by runners.

  7. To create and run your first pipeline: Ensure you have runners available to run your jobs. If you’re using GitLab.com, you can skip this step. GitLab.com provides instance runners for you. Create a .gitlab-ci.yml file at the root of your repository. This file is where you define the CI/CD jobs.