Category: Technical How-to

Today AWS announced 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. Today, customers can use AWS IoT Device Defender’s Rules Detect feature to manually set static alarms. ML Detect makes this easier by […]

From assembling automobiles to producing pharmaceuticals, successful industrial operations are fruits of continuous efforts to minimize equipment downtime, maximize product quality, and ensure personnel safety. Industrial IoT promises capabilities that can help manufacturers unlock insights quickly from a growing volume of sensor data from their equipment. Armed with these insights, operators can respond to equipment […]

Introduction IoT product development crosses several domains of expertise from embedded design to communication protocols and cloud computing. Because of this complexity “end-to-end” or “edge-to-cloud” IoT security is becoming a challenging concept in the industry. Edge in many cases refers to the device as a single element in the edge-to-cloud chain. But the device must […]

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 […]

Introduction Solutions architects, developers, and system designers building IoT solutions need ways to properly secure data and functions that operate on data across the entire solution landscape. In this post, we describe a few design options for scaling authorization policies focused on multi-user and multi-device use cases with AWS IoT Core. We cover several scenarios, […]

Across numerous types of implementations, a large portion of IoT applications collect large volumes of telemetry data. From industrial use cases to healthcare, and from consumer goods to logistics, IoT telemetry data points are highly time-dependent. In most IoT solutions, when the data is collected and reported matters for several reasons. For instance, in attribution […]