The Internet of Things on AWS – Official Blog

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.

AWS IoT Core and AWS IoT Device Management offer several mechanisms to send commands, apply configuration, and control your devices. This post introduces five of them, using a smart bulb as an example, and provides a comparison matrix to help you select the right mechanism for your command, control, and configuration use case.

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.

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 […]

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 […]