Category: AWS Greengrass

Gaining access to sensor data or telemetry of industrial machines is a key requirement for implementing high-value use cases around smart manufacturing or Industry 4.0. For instance, predictive maintenance or automated quality control is not possible without having such data at a high temporal resolution. Given the heterogeneous environment of modern industrial production lines with […]

AWS IoT Greengrass extends AWS managed services to edge device systems, providing security, message routing, and local state processing. It also provides a central hub for connectivity with other AWS services using AWS Lambda functions. Some edge systems with multiple devices produce high-frequency updates, such as device shadow updates. It can be difficult to determine […]

Hardware and operating systems for edge devices are built and delivered to customers in a wide range of form factors, such as consumer gateways, industrial controllers, and in-vehicle infotainment systems. Original design manufacturers (ODMs) and original equipment manufacturers (OEMs) building commercial off-the-shelf products decide which hardware and software combinations to use. System integrators (SIs) developing […]

Editor Note: This post is co-authored by Gong Xinyue, one of Global Accounts Solution Architects. You might already know how to use AWS IoT Core and AWS IoT Greengrass for remote device communication and control. With AWS IoT Greengrass Machine Learning (ML) Inference, you can run machine learning models on your local devices without any […]

Canonical and AWS have collaborated to offer AWS IoT Greengrass as snap, a containerized software package that can run on a variety of Linux distributions. The combination of AWS IoT Greengrass and Ubuntu Core provides IoT developers with a fast path from development to production for their secure device. The AWS IoT Greengrass snap, available […]

In this blog post, I will show you how you can use AWS CloudFormation to set up AWS IoT Greengrass quickly and in a repeatable manner. I will discuss the AWS IoT Greengrass resource types and how they are related to a Greengrass group deployment. I will also demonstrate a deployment that uses an AWS […]

The Industrial Internet of Things (IIoT) presents an unparalleled opportunity for every industry to address core business challenges, such as reducing downtime, improving safety, increasing system output, reducing operating costs, and creating innovative services and business models. In this blog post, I will show how you can use AWS IoT services to build an asset […]

In part 1 of this blog post, we created an image classification model for a recycling facility’s sorter to identify four beverage containers. We deployed it to our AWS IoT Greengrass Core device using the new AWS IoT Greengrass Image Classification connector. AWS IoT Greengrass connectors, announced at this year’s re:Invent, make it possible for […]

With the introduction of the AWS IoT Greengrass Image Classification connector at this year’s re:Invent, it has become easier than ever to use image classification at the edge through AWS IoT Greengrass. Because it is software that lives on a local device, AWS IoT Greengrass makes it possible to analyze data closer to the source […]

AWS IoT Greengrass allows you to bring local compute, messaging, data caching, sync, and ML inference capabilities to edge devices. Our newest release introduces features that simplify the deployment of Lambda functions to Greengrass, provide more flexibility so you can deploy Greengrass to new environments, and add easy-to-use security capabilities. Starting today, you can use […]