azure-digital-twins

Model scalable twin graphs with DTDL by designing ontologies that accurately represent your physical environment. This guidance provides best practices for DTDL modeling, ensuring your twin graph structure supports complex querying and integration with IoT Hub.

Integrate Azure Digital Twins with IoT Hub and Azure Functions by using event routes to wire twin graphs. This guidance outlines integration patterns to route telemetry data into your twin graph for real-time state updates.

Troubleshoot Azure Digital Twins security configurations and data history by applying best practices for access control and endpoint management. This guidance resolves complex troubleshooting gaps in deployment scenarios and data history connections.

Azure Digital Twins deployment planning requires managing specific limits and quotas for twin graphs and routes. This guidance fetches official documentation to help you manage resource constraints and plan scalable architectures within service boundaries.

You need Azure Digital Twins architecture guidance for querying twin graphs when designing complex IoT solutions. This guidance provides best practices for querying relationships efficiently and troubleshooting typical architecture bottlenecks.