microsoft-foundry

Deploy agents and models across regions with capacity awareness, quota checks, and automated rollback or fallback. This cross-region deployment approach ensures resource availability while maintaining governance through automated capacity planning and quota validation.

Set up evaluation pipelines by configuring datasets, evaluators, and trace-to-dataset workflows to support eval-driven optimization. Maintain reproducibility through versioned datasets, test cases, and lineage tracking throughout the evaluation process.

Configure RBAC and quota management during Foundry project onboarding and resource provisioning. The deployment enforces governance through role-based access control, capacity planning, and quota checks across all agent and model deployments.

Manage the Foundry deployment lifecycle by automating project onboarding, resource provisioning, agent and model deployment, RBAC configuration, quota planning, and observability integration. This end-to-end approach enforces governance and reproducibility across all operations.

Foundry deployment supports cross-region capacity awareness with automated rollback and fallback for agent and model deployments. Capacity planning and quota checks are enforced before deployment to ensure resource availability across regions.