Category: Advanced (300)

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.

Build an AI agent that autonomously orchestrates IoT firmware deployments. It plans risk-based waves, monitors rollout health, and makes proceed, pause, or rollback decisions through AWS IoT Jobs and Amazon Bedrock.

Learn how to use the AWS IoT Core connectivity management suite, spanning Fleet Indexing, real-time status and connection introspection APIs, subscription auditing, programmatic disconnect, lifecycle events, and CloudWatch dashboards, to gain complete visibility and control over your IoT device fleet’s connectivity without building custom infrastructure.

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 […]

AWS IoT Core now supports direct messaging for point-to-point communication. Previously, sending a message to a single IoT device required publishing to an MQTT topic the device subscribed to, with no built-in delivery confirmation from the device. With the new direct messaging capability, you can send a message to any device connected to AWS IoT […]

AWS IoT Core is a managed service that helps you to securely connect billions of Internet of Things (IoT) devices to the AWS cloud. The AWS IoT rules engine is a component of AWS IoT Core and provides SQL-like capabilities to filter, transform, and decode your IoT device data. You can use AWS IoT rules […]

Artificial Intelligence (AI) at the edge is popular among smart video devices. For example, Smart Home cameras and video doorbells revolutionized home monitoring. What began as simple recording and remote viewing tools has evolved into intelligent observers. With AI infusion, today’s cameras can actively analyze scenes, alert users to motion events, recognize familiar faces, spot […]

In today’s digital enterprise landscape, organizations increasingly rely on asset management solutions to streamline their operations. Companies often find themselves managing the same physical assets across multiple IT and operational technology (OT) systems. One of the services that help IT teams track and manage enterprise IT assets is ServiceNow. This service handles everything from hardware […]