Category: AWS IoT Greengrass

Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team This post is the second in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In part 1 of this series, we walked through the training […]

Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team Running computer vision algorithms at the edge unlocks many industry use cases that has low or limited internet connectivity. Combining services from AWS in the Machine Learning (ML) and Internet of Things (IoT) space, training a custom computer vision model and running […]

This post demonstrates how to build a continuous integration and continuous deployment (CI/CD) pipeline for AWS IoT Greengrass projects. Readers should be familiar with AWS IoT Greengrass. This post focuses on streamlining the development process for AWS IoT Greengrass projects rather than explaining the technology itself. If you are not familiar with AWS IoT Greengrass, […]

Co-authored by Aniruddh Chitre, AWS Solutions Architect This post demonstrates how AWS IoT Greengrass can be integrated with a Trusted Platform Module (TPM) to provide hardware-based endpoint device security. This integration ensures the private key used to establish device identity can be securely stored in tamper-proof hardware devices to prevent it from being taken out […]

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 […]

Industrial customers are increasingly using the AWS Cloud to meet their targets for predictive quality, predictive maintenance, and asset condition monitoring. For more examples, see the Top Use Cases for Industrial IoT Applications ebook. The first of these, predictive quality, is often strongly correlated with the level of safety in an operating environment. In this […]

Update: The content in this blog references AWS IoT Greengrass v1. AWS recommends that customers who require IoT services at the edge deploy AWS IoT Greengrass v2. AWS IoT Greengrass v2 builds on the architectural pillars of AWS IoT Greengrass v1 with a robust, extensible gateway core and a completely new API supporting a wide variety of […]

Update: The content in this blog references AWS IoT Greengrass v1, which has been replaced AWS IoT Greengrass v2. AWS IoT Greengrass v2 builds on the powerful architectural pillars of Greengrass v1 with a robust, extensible gateway core that is supported on a wide set of devices. Moreover, AWS IoT Greengrass v2 has a new […]

Note: AWS IoT Greengrass is no longer providing maintenance for the AWS IoT Greengrass core software version 1.11.x Snap, that is published on snapcraft.io. We maintain this post for historical reference. For the most up-to-date information, including any recent developments or optimizations related to AWS IoT Greengrass, we recommend consulting the latest AWS IoT Greengrass […]

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 […]