Category: AWS IoT Greengrass

Deploying Model Context Protocol (MCP) servers as AWS IoT Greengrass components brings autonomous, AI agent-driven network diagnostics to the edge, where connectivity is unreliable and expertise is hard to find. This first post in a series covers why edge diagnostics matter and how MCP maps expert troubleshooting workflows onto an autonomous agent.

Edge AI agents classify sensor anomalies locally on resource-constrained IoT devices and escalate only complex reasoning to the cloud. This post shows how to build a Rust-based AWS IoT Greengrass component that runs quantized ONNX inference on-device and escalates complex anomalies to an Amazon Bedrock AgentCore agent for root cause analysis.

In this post, you will learn how to deploy Strands Agents as AWS IoT Greengrass components on a Raspberry Pi 5 to build an edge AI system for smart agriculture. The solution combines camera-based plant analysis through Amazon Bedrock, real-time soil moisture sensing, device monitoring, and a local web dashboard, all orchestrated by an AI agent running on the device.

Organizations managing IoT at scale face a critical business challenge: every hour of equipment downtime costs thousands in lost revenue, while untapped sensor data represents missed opportunities for operational optimization. Research shows that digital maintenance and reliability transformations can increase asset availability by 5–15 percent and reduce maintenance costs by 18–25 percent (McKinsey), translating to […]

In this post, you will learn how Stratasys built an edge-to-cloud IoT platform using AWS IoT Core and AWS IoT Greengrass to address industrial 3D printing challenges, how the architecture delivers measurable OEE improvements, and what AI-powered capabilities this data foundation will support next.

In professional sports, the difference between winning and losing often comes down to fine margins. Teams across the globe are turning to data-driven insights to optimize athlete performance, mitigate injuries, and gain competitive advantages. Catapult Sports, is a sports technology company that empowers professional teams to make data-driven decisions. By using AWS IoT services, Catapult […]

December 2025 marks ten years since AWS for Internet of Things (AWS IoT) set out to connect the physical world to the digital world. Today, hundreds of millions of devices connect to AWS IoT services daily, enabling organizations to extract real-time insights, automate processes, and unlock entirely new business models across virtually every industry. This […]

Introduction In today’s digital world, Internet of Things (IoT) security and compliance continues to evolve. The European Union’s Cyber Resilience Act (CRA) is reshaping how IoT manufacturers, developers, and service providers approach their work. Let’s explore what this means for AWS IoT customers and manufacturers using connected devices. Understanding the CRA’s impact The CRA was enacted on […]

Introduction Modern manufacturers face an increasingly complex challenge: implementing intelligent decision-making systems that respond to real-time operational data while maintaining security and performance standards. The volume of sensor data and operational complexity demands AI-powered solutions that process information locally for immediate responses while leveraging cloud resources for complex tasks.The industry is at a critical juncture […]

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 […]