The Internet of Things on AWS – Official Blog

Tag: edge computing

How to implement zero trust IoT solutions with AWS IoT

Introduction Zero trust is often misunderstood. It’s not a product but a security model and associated set of architectural principles and patterns. One of the main challenges customers face is determining how zero-trust principles can be applied to Internet of Things (IoT) and how to get started with incorporating zero trust with Amazon Web Services […]

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AWS IoT Greengrass now supports the Windows operating system

Introduction Microsoft Windows is a common operating system for devices used in industrial automation. Customers using AWS IoT Greengrass have been restricted to Linux based devices until now. Today we are excited to announce native Windows support for AWS IoT Greengrass v2. This will allow customers to leverage AWS IoT Greengrass on their Windows based […]

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Decoupled process diagram

How a major manufacturer manages and monitors industrial devices and vehicles with AWS IoT

Learn about a decoupled approach that unlocks device distribution, and see how an AWS customer who manufactures industrial devices and vehicles uses the decoupled approach to more effectively manage and monitor vehicles with AWS IoT.

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This image displays the architecture of the integration between AWS IoT Greengrass V2 and NVIDIA Jetson modules.

Using AWS IoT Greengrass Version 2 with Amazon SageMaker Neo and NVIDIA DeepStream Applications

AWS IoT Greengrass Version 2 was released for general availability during re:Invent 2020. 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 Greengrass for their IoT applications on millions of devices in homes, factories, vehicles, […]

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This image shows how the customer leverages AWS IoT Device Management to securely manage their fleet of connected refrigerators

Connecting home appliances with a smart home solution built on AWS in the AWS China Region

This blog post introduces how the manufacturers of home appliances can use AWS Services to build and maintain their smart home solutions. These solutions are both the platforms that power their connected products as well as the applications consumers use to control those products. This blog post illustrates a real use case from a customer […]

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The following diagram presents the architecture of the solution demonstrated in this post.

How to integrate NVIDIA DeepStream on Jetson Modules with AWS IoT Core and AWS IoT Greengrass

AWS continually evolves our edge computing offerings to provide customers with the technology they need to extend AWS services to edge devices, such as consumer products or manufacturing equipment, and enable them to act intelligently. This helps customers avoid unnecessary cost and latency, and empower customers with the ability to manage edge devices securely and […]

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Perform Protocol Conversion at the Edge with AWS Lambda and AWS Greengrass

In industrial automation, you will find dozens of protocols used by devices and PLC vendors: OPC-UA, Modbus TCP, serial, and more. In fact, often in just one facility, it is common to find two similar processes performing the same function with different equipment. AWS Greengrass reduces the operational overhead for businesses to change protocols as […]

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Using Chainer Neural Network Framework with AWS Greengrass ML Inference

Starting today, Greengrass ML inference includes a pre-built Chainer package for all devices powered by Intel Atom, NVIDIA Jetson TX2, and Raspberry Pi. So, you don’t have to build and configure the ML framework for your devices from scratch. With this launch, we now provide pre-built packages for three popular machine learning frameworks including TensorFlow, […]

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