DevOps and pipeline engineers use Digital.ai Release to connect the CI/CD toolchain into release orchestration. This guide covers configuring connections to external tools, setting up automated tasks in release pipelines, deploying Release Runner for container-based task execution, triggering releases from external events, and building self-service workflows.
Engineering managers use Digital.ai Release to monitor delivery health, track release status across teams and portfolios, and measure software delivery performance. This guide covers the dashboards, reports, and metrics available for this role and explains what each one measures.
Plugin and integration developers extend Digital.ai Release by building custom plugins, calling the REST API, automating Release configuration as code, and integrating Release with AI agents via the MCP Server. This guide covers the available development approaches, SDKs, API references, and automation tools.
Release Administrators configure and maintain Digital.ai Release at the application level. This guide covers setting up users, roles, and permissions, configuring system settings, managing plugins and licenses, and maintaining the release archive.
Release engineers design and maintain the release templates that Release Managers use to run releases in Digital.ai Release. This guide covers building templates, configuring automated tasks, organizing templates in folders, version-controlling templates with GitOps, and setting up release triggers.
Release Managers use Digital.ai Release to plan, coordinate, and track software releases. This guide covers the Release features most relevant to this role such as creating and starting releases, monitoring task progress, handling issues, coordinating multi-team delivery, and reviewing reports.
System administrators deploy, configure, secure, and operate Digital.ai Release. This guide covers all supported installation methods, high-availability setup, user authentication, server security hardening, security and compliance integrations, Release Runner deployment, and day-to-day server operations.