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The IoT Architecture Guide aims to accelerate customers building IoT Solutions on Azure by providing a proven production ready architecture, with proven technology implementation choices, and with links to Solution Accelerator reference architecture implementations such as Remote Monitoring and Connected Factory. The document offers an overview of the IoT space, recommended subsystem factoring for scalable IoT solutions, prescriptive technology recommendations per subsystems, and detailed sections per subsystem that explore use cases and technology alternatives.
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Azure IoT Hub is a cloud service that acts as a central message hub for bi-directional communication between IoT cloud applications and the connected devices. Azure IoT Hub enables reliable and secure communications between millions of IoT devices and a cloud-hosted solution backend.
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Azure IoT Edge builds on top of IoT Hub. This service is used to analyze data on devices, at the edge, instead of in the cloud. IoT Edge enables devices to spend less time sending messages to the cloud so they can react more quickly to changes in status.
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Device SDKs enable you to build apps that run on your IoT devices. These apps send telemetry to your IoT hub, and optionally receive messages, job, method, or twin updates from your IoT hub. You can connect virtually any device to IoT Hub by leveraging different device SDKs.
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Azure IoT Central is a fully managed SaaS (software-as-a-service) solution that makes it easy to connect, monitor and manage your IoT assets at scale. Azure IoT Central simplifies the initial setup of your IoT solution and reduces the management burden, operational costs, and overhead of a typical IoT project. Learn how to create, customize, manage, and use an Azure IoT Central application with our quick starts and tutorials.
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The Azure IoT Solution Accelerators are a set of open source PaaS solutions that deploy into your subscription in minutes. They are implementations of common IoT solution patterns aligned with our IoT Reference Architecture. Each solution can be customized and extended to meet your specific requirements. Add new devices—and connect existing ones—using device SDKs for multiple platforms, including Linux, Windows, and real-time operating systems. Easily scale from just a few sensors to millions of simultaneously connected devices and rely on the global availability of Azure—no matter how large or small your project.
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The Windows AI Platform, together with Azure Machine Learning and Azure IoT Edge, will bring hardware-accelerated machine learning model evaluation on the edge. By using instruction set optimizations on modern CPUs, hardware acceleration on GPUs that support DirectX 12, and a driver model for purpose-built AI processors in the future, the Windows AI Platform will deliver performance and efficiency on the broadest range of devices.
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This service enables you to create comprehensive models of the physical environment. You can model the relationships and interactions between people, spaces, and devices. For example, you can predict maintenance needs for a factory, analyze real-time energy requirements for an electrical grid, or optimize the use of available space for an office.
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This service enables you to store, visualize, and query large amounts of time series data generated by IoT devices. You can use this service with IoT Hub.
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This service provides geographic information to web and mobile applications. There is a full set of REST APIs as well as a web-based JavaScript control that can be used to create flexible applications that work on desktop or mobile applications for both Apple and Windows devices.
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