Amazon AWS boosts IoT clout with slew of new services, products

December 04, 2017 // By Rich Pell
Amazon Web Services (Seattle, WA) has announced six "significant" new services and capabilities for connected devices at the edge.

The new services offer a range of capabilities designed to make getting started with IoT easier, enable customers to rapidly onboard and easily manage large fleets of IoT devices, audit and enforce consistent security policies, and analyze IoT device data at scale. The new services and products include AWS IoT 1-Click, AWS IoT Device Management, AWS IoT Device Defender, AWS IoT Analytics, Amazon FreeRTOS (based on the most popular open source embedded operating system), and AWS Greengrass ML Inference.

“The explosive growth in the number and diversity of connected devices has led to equally explosive growth in the number and scale of IoT applications. Today, many of the world's largest IoT implementations run on AWS, and the next phase of IoT is all about scale as we'll see customers exponentially expand their fleet of connected devices," says Dirk Didascalou, VP IoT, AWS. "These new AWS IoT services will allow customers to simply and quickly operationalize, secure, and scale entire fleets of devices, and then act on the large volumes of data they generate with new analytics capabilities specifically designed for IoT."

The new products include Amazon FreeRTOS , an operating system that extends the functionality of AWS IoT to devices with very low computing power, such as lightbulbs, smoke detectors, and conveyor belts. AWS Greengrass ML Inference is a new capability for AWS Greengrass - software that enables local compute, messaging, data caching, sync, and machine learning (ML) inference capabilities for connected devices - that allows machine learning models to be deployed directly to devices, where they can run machine learning inference to make decisions quickly, even when devices are not connected to the cloud.

"With Amazon FreeRTOS, we're making it easy for customers to bring AWS IoT functionality to countless numbers of small, microcontroller-based devices," says Didascalou. "And, customers have also told us they want to execute machine learning models on the connected devices themselves, so we’re excited to