Category: Learning Levels

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 […]

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 […]

Introduction Amazon Kinesis Video Streams provides powerful solutions for cloud-based video management in physical security and surveillance organizations. While organizations need continuous recording capabilities, traditional storage approaches often lead to increased costs. Kinesis Video Streams excels at real-time video management and short-term storage, serving enterprise deployments with extensive camera networks. Now, the innovative Kinesis Video […]

Technical and marketing teams working on internet of things (IoT) programs, sooner or later, manage a project that requires data flow between a fleet of devices and the cloud. This data is critical because marketing wants to provide more features to the users, business teams require data driven decisions, and technical teams work to optimize […]

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 […]

Seamlessly transferring data between cloud and edge devices is crucial for IoT applications across various industries, such as healthcare, manufacturing, autonomous vehicles, and aerospace. For example, it enables aircraft operators to seamlessly transfer software updates to aircraft fleets, eliminating the operational burden of manual updates with physical storage devices. By leveraging AWS IoT and Amazon […]