Category: AWS IoT Core

Today, AWS announced the general availability of AWS IoT Device Defender Machine Learning Detect and Mitigation (ML Detect), a new feature that automatically detects IoT device-level operational and security anomalies based on learnings from past device data. Customers can already use AWS IoT Device Defender’s Rules Detect feature to manually set static alarms. ML Detect […]

This blog post introduces how the manufacturers of home appliances can use AWS Services to build and maintain their smart home solutions. These solutions are both the platforms that power their connected products as well as the applications consumers use to control those products. This blog post illustrates a real use case from a customer […]

Many IoT devices rely on Low-Power Wide-Area Networks (LPWAN) to connect their fleets. Wi-Fi, Bluetooth, or wired Ethernet serve an important role in providing connectivity, but these connections have limited range. Cellular connectivity may require expensive monthly service fees which can consume high power and limits the battery life of small, low-bandwidth sensors or devices. […]

At AWS, we build technology to help customers and partners like Bose, Vizio, LG, British Gas Centrica Connected Home, Ayla, NXP, and more solve real world problems and unlock possibilities to create better business outcomes and new consumer experiences. Yesterday, IoT World named AWS IoT the “Best Consumer IoT Solution” for 2020. We are grateful to […]

AWS continually evolves our edge computing offerings to provide customers with the technology they need to extend AWS services to edge devices, such as consumer products or manufacturing equipment, and enable them to act intelligently. This helps customers avoid unnecessary cost and latency, and empower customers with the ability to manage edge devices securely and […]

UPDATE: The original blog post written on August 18th 2016 has been updated to this current version with the help of the author Michael Garcia (Principal Solutions Architect at AWS) and Anish Yadav (Cloud Support Associate at AWS). Whether it is in the context of industrial IoT or in connected homes, gateways are present in […]

Customers use AWS IoT to analyze the data generated by their IoT devices to quickly gain meaningful insights about their business. This helps them solve a variety of problems, such as identifying required improvements to their manufacturing processes, predicting device failures, or quickly diagnosing and troubleshooting device issues for their customers.  However, before IoT devices […]

Enabling operational data connectivity to AWS IoT Greengrass seamlessly extends AWS to the edge to provide tools to act locally on the OT data, while still using the cloud for management, analytics, and durable storage. With AWS IoT Greengrass and the Cirrus Link MQTT Transmission module on the Ignition platform from Inductive Automation, industrial data […]

Organizations with large numbers of IoT devices need efficient solutions to track events occurring across multiple devices, in order to identify operational issues and act upon them. This post covers the use case of a fictitious organization AcmeTracker that offers services to track the geolocation of a wide suite of assets (such as vehicles), by […]

Industrial IoT (IIoT) bridges the gap between industrial equipment and automation networks (usually called OT, Operations Technology) and Information Technology (IT). In IT, use of new technologies such as machine learning, cloud, mobile, and edge computing are becoming commonplace. IIoT brings machines, cloud computing, analytics, and people together to improve performance, productivity, and efficiency of […]