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IoT Edge, Open Source Edge - AWS IoT Greengrass - AWS
AWS IoT Greengrass is an open-source edge runtime and cloud service that helps you build, deploy, and manage intelligent device software.
What is AWS IoT Greengrass? - AWS IoT Greengrass
AWS IoT Greengrass is an open source Internet of Things (IoT) edge runtime and cloud service that helps you build, deploy and manage IoT applications on your devices. You can use AWS …
AWS IoT Greengrass Documentation
AWS IoT Greengrass ensures your devices can respond quickly to local events and operate with intermittent connectivity. AWS IoT Greengrass minimizes the cost of transmitting data to the …
AWS IoT Greengrass Features - Amazon Web Services
AWS IoT Greengrass provides prebuilt components for common use cases so you can discover and import, configure, and deploy applications and services at the edge without the need to …
AWS IoT Greengrass FAQs - Amazon Web Services
AWS IoT Greengrass is an Internet of Things (IoT) open source edge runtime and cloud service that helps you build, deploy, and manage device software. Customers use AWS IoT …
How AWS IoT Greengrass works
AWS IoT Greengrass enables local execution of AWS Lambda functions, Docker containers, native OS processes, or custom runtimes of your choice. AWS IoT Greengrass provides pre …
Tutorial: Getting started with AWS IoT Greengrass V2
You can complete this getting started tutorial to learn the basic features of AWS IoT Greengrass V2. In this tutorial, you do the following: Install and configure the AWS IoT Greengrass Core …
AWS IoT Greengrass V2 tutorials
AWS IoT Greengrass is a service that enables you to run AWS Lambda functions, machine learning models, and other code on edge devices. This allows you to process data locally, …
AWS IoT Greengrass
AWS IoT Greengrass includes two pieces of client software: AWS IoT Greengrass Core, the runtime that provides local AWS Lambda, messaging, device shadows, and security, and the …
Welcome - AWS IoT Greengrass
2025年2月21日 · AWS IoT Greengrass brings local compute, messaging, data management, sync, and ML inference capabilities to edge devices. This enables devices to collect and …