Azure Edge
Azure Edge refers to a set of services and solutions offered by Microsoft Azure to enable edge computing, a computing paradigm that brings computation and data storage closer to the location where it is needed. Edge computing is used to process data locally, at or near the data source, rather than transmitting it to a centralized cloud data center. Azure Edge services help organizations build, deploy, and manage edge solutions for various use cases.
Here are some key aspects of Azure Edge:
Azure IoT Edge: Azure IoT Edge is a service that extends Azure’s IoT capabilities to the edge. It enables you to deploy and run Azure services, custom code, and machine learning models on edge devices, such as IoT devices, gateways, and edge servers. This allows for real-time data processing, reducing latency and bandwidth usage.
Azure Stack Edge: Azure Stack Edge is an on-premises appliance that combines edge computing, storage, and network capabilities with Azure services. It provides a consistent Azure experience for deploying and managing applications at the edge. Azure Stack Edge can be used for AI inferencing, data aggregation, and local processing.
Azure Edge Zones: Azure Edge Zones are infrastructure locations that bring Azure services closer to end-users and IoT devices. They are strategically positioned in close proximity to major population centers and provide ultra-low-latency access to Azure services. Edge Zones are used for applications that require real-time responsiveness.
Azure Edge Devices: These are physical devices, such as IoT devices and gateways, that run Azure IoT Edge runtime. These devices enable local processing, data aggregation, and the execution of AI models without relying on cloud connectivity.
Azure Edge Modules: Azure IoT Edge modules are units of execution that run on IoT Edge devices. They can be used to deploy code, containers, and machine learning models to perform tasks such as data filtering, analytics, and predictions at the edge.
Azure Edge Tools: Azure provides a set of development and management tools to simplify the creation and management of edge solutions. This includes tools for developing IoT Edge modules, monitoring edge deployments, and managing edge devices.
Use Cases: Azure Edge is used in various industries and scenarios, including industrial IoT, retail, healthcare, autonomous vehicles, and smart cities. It enables real-time decision-making and enhances the performance and reliability of edge applications.
Integration: Azure Edge seamlessly integrates with other Azure services and tools, such as Azure IoT Hub, Azure Stream Analytics, and Azure Functions, to build comprehensive edge solutions.
Azure Training Demo Day 1 Video
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