A pipeline is an event-driven automated workflow for executing a set of DevOps activities (CI, deployments, infrastructure provisioning, etc). It is composed of a sequence of interdependent steps which execute discrete functions. Steps act on resources, which hold the information needed to execute (files, key-value pairs, etc).
Developers can create pipelines easily with a simple declarative YAML-based language. While each step in a pipeline executes in a stateless runtime environment, Pipelines provides facilities to manage state and step outputs across the workflow so that all dependent steps can access the information they need from upstream steps in order to execute. This helps coordinate activities centrally across diverse DevOps tools and teams without custom DIY scripts.
Workflows can be configured for a variety of scenarios, including:
In this section, you will find information to get you started whether you are a new user or an existing user.
If you are a new user, get started with the onboarding videos for JFrog Pipelines.
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.
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.
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.
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.
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.
Fine-grained permissions and access control limit who can access workflows. Centralized, encrypted storage of credentials and keys help ensure secrets stay safe.
Manage multiple execution nodes using a single installation of Pipelines and automatically distribute Pipeline execution across them for scale and speed.
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