AWS

  • 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 […]