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📄️ Get Started With Deploy

This topic provides information about Deploy, an agentless deployment automation solution, enabling software development organizations to deploy, upgrade, and rollback complex applications to target environments.

📄️ Digital.ai Deploy System Information

* The System Information dialog box is where you must go to understand your Digital.ai Deploy setup.

📄️ Deploy Concepts

This topic provides information about the Deploy concepts for using Deploy.

📄️ Glossary of Deploy Terms

This page defines the terms you will encounter in Deploy.

📄️ Deploy User Interface

This topic provides a brief introduction to some of the key features you will use in Deploy.

📄️ Deploy System Architecture

With Deploy modular architecture you can change and extend components while maintaining a consistent system.

📄️ Deploy Repository

This topic explains the Deploy repository in Digital.ai Deploy, detailing its role in storing and managing deployment packages, configurations, and artifacts essential for the deployment process.

📄️ Deployables and Deployeds

This topic provides information about Deployables and deployeds.

📄️ Deploy CLI

You can use the Deploy command-line interface (CLI) to control and manage multiple features, such as discovering middleware topology, setting up environments, importing packages, and performing deployments. The CLI connects to the Deploy server using the standard HTTP/HTTPS protocol, so it can be used remotely without firewall issues.

📄️ Deploy Explorer

Use the Deploy Explorer to view and manage the configuration items (CIs) in your repository, deploy and undeploy applications, connect to your infrastructures, and provision and deprovision environments.

📄️ Deployment Execution

Deploy is a model-driven deployment solution. Users declaratively define the artifacts and resources that they need to deploy in a package, which is a ZIP file with a deployit-manifest.xml file, and Deploy figures out how to install the components in a target environment using rules. Rules are used to teach the Deploy execution engine how to generate your deployment steps in a scalable, reusable, and maintainable way.