Microsoft Power Automate

Learn when to use Power Apps, deterministic workflows, and AI agents—and how to combine them within a governed Power Platform architecture.

Learn how to govern Power Platform at scale with the right environment strategy, DLP, security, ALM, ownership, monitoring, and lifecycle controls.

See how Power Apps, Dataverse, and Power Automate fit together as one governed application platform instead of three isolated products.

Basic and Premium Planner plans may look similar to users, but their underlying data architectures create different integration models.

A practical engineering guide to running Power Automate reliably in production—from runtime and throttling to observability, ALM, ownership, and governance.

Understand Power Automate through its core model—trigger, actions, connectors, logic, and outcome—and learn when to use cloud flows, desktop flows, and business process flows.

Planner Premium changes more than the project interface. Learn what its Dataverse-backed architecture means for Microsoft 365 administrators.

Understand how Dataverse works beneath Power Platform applications—from metadata and security through APIs, storage, capacity, integration, governance, and ALM.

Understand why Dataverse is more than cloud storage, how it fits with Power Apps and Power Automate, and when it is the right home for business data.

A technical guide to Power Apps architecture—from Canvas and Model-Driven Apps through Dataverse, connectors, security, environments, performance, governance, and ALM.

Understand Power Apps beyond the screen: app models, data, logic, security, lifecycle, Dataverse, connectors, and the architecture behind real business applications.