JFrog Pipelines

JFrog Pipelines Documentation

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JFrog Pipelines offers JFrog Platform customers three vital capabilities: end-to-end automation (CI/CD), workflow and tool orchestration, and the optimization of the JFrog toolset functionality in use. Consistent with JFrog’s customer-centric product philosophy, Pipelines is enterprise-ready and universal.

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Features

  • Pipelines as Code: Define your automated workflow through code, using a domain specific language in a YAML file of key-value pairs that you can create and maintain with your favorite text editor.

  • Real-Time Visibility: JFrog Pipelines renders your pipeline definition as an interactive diagram, helping you to see the flow of tasks and their inter-dependencies, as well as view the success record of any runs that were performed.

  • Universal: Connect your pipeline automation to your source code repositories in a version control system (such as GitHub or BitBucket) to automatically trigger execution on any new submission (commit) of a code change. Connect to other popular tools through your credentials for storage, issue-tracking, notification, orchestration and more through a library of integrations.

  • Native Integration with Artifactory: JFrog Pipelines is designed to be used with Artifactory, with built-in directives for pushing artifacts, performing builds, pushing build information, image scanning, and build promotion.

  • Integration with JFrog Platform: JFrog Pipelines is designed as an integral part of the JFrog platform, including scanning artifacts/builds through Xray, the creation and delivery of release bundles through JFrog Distribution, for a complete end-to-end SDLC pipeline from commit to production runtime.

  • Security First: Fine-grained permissions and access control limit who can access workflows. Centralized, encrypted storage of credentials and keys help ensure secrets stay safe.

  • Enterprise-Ready: Manage multiple execution nodes using a single installation of Pipelines and automatically distribute Pipeline execution across them for scale and speed.

Get up and Running with JFrog Pipelines

In this section, you will find information to get you started whether you are a new user or an existing user.

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