By uniting edge processing efficiencies with the scalability of cloud computing, Edge Impulse and AWS can empower businesses with greater decision making processes, reduced costs and optimized perform...

A practical architecture for turning EEG signals into robotic commands with edge inference, AWS IoT Greengrass, IoT Core, and SageMaker AI—without putting safety, latency, or neural-data privacy at risk.

AWS announces the release of AWS IoT Greengrass v2.15, introducing significant updates to both nucleus and nucleus lite core components. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest release, version 2.15, strengthens core capabilities with enhanced secret and log management, advancing both security posture and troubleshooting efficiency for IoT applications running at the edge. The new release also offers updates for AWS IoT Greengrass nucleus lite, a lightweight, open-source edge runtime, specifically designed for resource-constrained devices with minimal footprint (5MB RAM). The new nucleus lite release introduces Docker containers management, expanding capabilities of lightweight IoT deployments and delivering containerized applications support in resource-constrained environments. AWS IoT Greengrass v2.15 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.15 and its new features, visit the AWS IoT Greengrass https://docs.aws.amazon.com/greengrass/v2/developerguide/greengrass-release-2025-07-03.html Follow the Getting Started https://docs.aws.amazon.com/greengrass/v2/developerguide/getting-started.html for a quick introduction to AWS IoT Greengrass.

We're excited to announce the launch of a new Greengrass component SDK for AWS IoT Greengrass applications. This new SDK addresses the challenge of deploying sophisticated applications on edge devices with limited resources, enabling industries such as automotive, industrial IoT, robotics, and smart buildings to run more complex AI and ML workloads at the edge. Moreover, the new SDK maintains full compatibility with both AWS IoT Greengrass nucleus and nucleus lite capabilities. The new Greengrass component SDK offers significant memory footprint reduction, with a footprint of less than 0.5MB compared to 30MB, enabling deployment on resource-constrained devices. It provides native C, C++, and Rust bindings, optimized for performance and cost-critical embedded applications. This SDK opens new possibilities for edge computing applications where memory constraints have previously been a limiting factor. The new Greengrass component SDK is available in all AWS Regions where AWS IoT Greengrass is available.

AWS announces the release of AWS IoT Greengrass v2.15, introducing significant updates to both nucleus and nucleus lite core components. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest release, version 2.15, strengthens core capabilities with enhanced secret and log management, advancing both security posture and troubleshooting efficiency for IoT applications running at the edge. The new release also offers updates for AWS IoT Greengrass nucleus lite, a lightweight, open-source edge runtime, specifically designed for resource-constrained devices with minimal footprint (5MB RAM). The new nucleus lite release introduces Docker containers management, expanding capabilities of lightweight IoT deployments and delivering containerized applications support in resource-constrained environments. AWS IoT Greengrass v2.15 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.15 and its new features, visit the AWS IoT Greengrass documentation. Follow the Getting Started guide for a quick introduction to AWS IoT Greengrass.

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AWS announces the release of https://docs.aws.amazon.com/greengrass/v2/developerguide/greengrass-release-2025-11-06.html, introducing new core components for nucleus and nucleus lite. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest version 2.16 release includes enhanced debugging capabilities through the system log forwarder component. This component uploads system log files to AWS Cloud Watch, making it easier for developers to troubleshoot IoT edge applications. The AWS IoT Greengrass v2.16 release also features a new nucleus lite version (v2.3) with TPM2.0 specification support, enabling developers to manage edge device security for their resource constrained devices using hardware-based root of trust modules. The implementation helps developers to scale their IoT deployments with confidence while providing secure storage for secrets and streamlined device authentication. AWS IoT Greengrass v2.16 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.16 and its new features, visit the AWS IoT Greengrass https://docs.aws.amazon.com/greengrass/v2/developerguide/what-is-iot-greengrass.html Follow the Getting Started https://docs.aws.amazon.com/greengrass/v2/developerguide/getting-started.html for a quick introduction to AWS IoT Greengrass.

AWS announces the release of a new AI agent context package for accelerating edge device application development using AWS IoT Greengrass. AWS IoT Greengrass is an IoT edge runtime and cloud service that helps developers build, deploy, and manage device software at the edge. The context package includes ready-to-use instructions, examples, and templates - enabling developers to leverage generative AI tools and agents for faster software creation, testing and deployment. Available as an open-source https://github.com/aws-greengrass/greengrass-agent-context-pack under the Creative Commons Attribution Share Alike 4.0 license, the AWS IoT Greengrass AI agent context package helps streamline development workflows. Developers can boost productivity by cloning the repository and integrating it with modern generative AI tools like Amazon Q to help accelerate cloud-connected edge application development while simplifying fleet-wide deployment and management. This new capability is available in all AWS Regions where AWS IoT Greengrass is supported. To learn more about AWS IoT Greengrass and its new AI agent context pack, visit the AWS IoT Greengrass https://docs.aws.amazon.com/greengrass/v2/developerguide/what-is-iot-greengrass.html Follow the getting started https://docs.aws.amazon.com/greengrass/v2/developerguide/getting-started.html for a quick introduction to AWS IoT Greengrass.

AWS announces the release of AWS IoT Greengrass v2.16, introducing new core components for nucleus and nucleus lite. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. The latest version 2.16 release includes enhanced debugging capabilities through the system log forwarder component. This component uploads system log files to AWS Cloud Watch, making it easier for developers to troubleshoot IoT edge applications. The AWS IoT Greengrass v2.16 release also features a new nucleus lite version (v2.3) with TPM2.0 specification support, enabling developers to manage edge device security for their resource constrained devices using hardware-based root of trust modules. The implementation helps developers to scale their IoT deployments with confidence while providing secure storage for secrets and streamlined device authentication. AWS IoT Greengrass v2.16 is available in all AWS Regions where AWS IoT Greengrass is offered. To learn more about AWS IoT Greengrass v2.16 and its new features, visit the AWS IoT Greengrass documentation. Follow the Getting Started guide for a quick introduction to AWS IoT Greengrass.

AWS IoT Core, AWS IoT Device Management, AWS IoT Device Defender and AWS IoT Greengrass are now available in Europe (Spain) and Asia Pacific (Malaysia) Regions. This comprehensive suite of IoT services help customers securely connect, monitor, troubleshoot, and manage IoT devices at scale. With the region expansion update, organizations operating in these regions can better serve their local customers and unlock multiple benefits, including faster response times, stronger data residency controls, and reduced data transfer expenses. AWS IoT Core helps connect, manage, and secure billions of IoT devices. It routes trillions of messages to other IoT devices and AWS endpoints, through bi-directional industry standard protocols, such as MQTT, HTTPS, and LoRaWAN. AWS IoT Device Management provides the flexibility to remotely monitor, manage, and update IoT device fleet at scale while AWS IoT Device Defender empowers you to monitor security posture and detect anomalies. AWS IoT Greengrass is an open-source edge runtime and cloud service for building, deploying, and managing device software. With AWS IoT Greengrass, you can perform machine learning (ML) inferences locally on your edge devices using models that are developed and trained in the cloud. Please see https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ for complete regional availability information. To learn more, please visit the AWS https://docs.aws.amazon.com/iot/, https://docs.aws.amazon.com/iot-device-management/, https://docs.aws.amazon.com/iot-device-defender/ and https://docs.aws.amazon.com/greengrass/ product pages.

Edge computing downtime in industrial IoT environments can be both inconvenient and costly. Systems at the edge require continuous operation to maintain business continuity. While AWS IoT Greengrass delivers powerful edge computing capabilities, achieving true enterprise-grade high availability requires additional orchestration. This post shows how to use Pacemaker, a cluster resource manager, to build resilient [...]

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

AWS IoT Core, AWS IoT Device Management, AWS IoT Device Defender and AWS IoT Greengrass are now available in Europe (Spain) and Asia Pacific (Malaysia) Regions. This comprehensive suite of IoT services help customers securely connect, monitor, troubleshoot, and manage IoT devices at scale. With the region expansion update, organizations operating in these regions can better serve their local customers and unlock multiple benefits, including faster response times, stronger data residency controls, and reduced data transfer expenses. AWS IoT Core helps connect, manage, and secure billions of IoT devices. It routes trillions of messages to other IoT devices and AWS endpoints, through bi-directional industry standard protocols, such as MQTT, HTTPS, and LoRaWAN. AWS IoT Device Management provides the flexibility to remotely monitor, manage, and update IoT device fleet at scale while AWS IoT Device Defender empowers you to monitor security posture and detect anomalies. AWS IoT Greengrass is an open-source edge runtime and cloud service for building, deploying, and managing device software. With AWS IoT Greengrass, you can perform machine learning (ML) inferences locally on your edge devices using models that are developed and trained in the cloud. Please see AWS Region services list for complete regional availability information. To learn more, please visit the AWS IoT Core, Device Management, Device Defender and Greengrass product pages.

In the past few years, Generative AI has captured the imagination of the tech world, enabling...

1. はじめにこんにちは。私は非IT系の会社（いわゆるJTC）にて部署内のDX推進を行っており、現場の手元業務を改善するためのPoCやツール導入をメインに行っております。PoCの中でよくあるのがRaspberry Piを使ったIoTですが、管理できていない野良デバイスがはびこる状況に頭を悩ませております。本記事はそんな課題解決に向けた学習の記録です。 2. 対象読者RaspberryPiを使った

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Learn how to design and operate local generative AI inference architectures from Kohei "Max" Matsushita (AWS Community Hero), featuring live demos with robotic arms, VLA models, and practical approaches...

AWS announces the release of a new AI agent context package for accelerating edge device application development using AWS IoT Greengrass. AWS IoT Greengrass is an IoT edge runtime and cloud service that helps developers build, deploy, and manage device software at the edge. The context package includes ready-to-use instructions, examples, and templates - enabling developers to leverage generative AI tools and agents for faster software creation, testing and deployment. Available as an open-source GitHub repository under the Creative Commons Attribution Share Alike 4.0 license, the AWS IoT Greengrass AI agent context package helps streamline development workflows. Developers can boost productivity by cloning the repository and integrating it with modern generative AI tools like Amazon Q to help accelerate cloud-connected edge application development while simplifying fleet-wide deployment and management. This new capability is available in all AWS Regions where AWS IoT Greengrass is supported. To learn more about AWS IoT Greengrass and its new AI agent context pack, visit the AWS IoT Greengrass documentation. Follow the getting started guide for a quick introduction to AWS IoT Greengrass.