Digital.ai Release is a release orchestration platform for software delivery teams. It models release processes as a sequence of tasks grouped into phases, coordinates manual and automated work across teams and tools, and provides reporting and auditing on delivery and performance.
Navigate Digital.ai Release as a DevOps and pipeline engineer and learn about integrating tools, automating tasks, configuring runners, triggering releases, and building self-service workflows.
Navigate Digital.ai Release as an Engineering Manager and learn about monitoring delivery progress through dashboards, reports, and portfolio views.
Navigate Digital.ai Release as an integration developer and learn about automating Release with the REST API, Python API Client, XL CLI, webhook tasks, and MCP Server.
Navigate Digital.ai Release as a Release Administrator and learn about configuring application settings, users, teams, permissions, and connections.
Navigate Digital.ai Release as a Release Engineer and learn about building templates, configuring tasks and variables, and organizing release automation.
Navigate Digital.ai Release as a Release Manager and learn about creating, monitoring, and coordinating releases across teams.
Navigate Digital.ai Release as a System Administrator and learn about setting up Digital.ai Platform authentication, deploying Release Runners, and integrating secrets management and security tools.
This section provides reference and orientation material for Digital.ai Release SaaS. It covers what is new in the current version, how the product is architected, and the terminology used throughout the documentation.