AWS Architecture Blog

Category: Internet of Things

AWS architecture for sustainable IoT devices

Optimizing Your IoT Devices for Environmental Sustainability

To become more environmentally sustainable, customers commonly introduce Internet of Things (IoT) devices. These connected devices collect and analyze data from commercial buildings, factories, homes, cars, and other locations to measure, understand, and improve operational efficiency. (There will be an estimated 24.1 billion active IoT devices by 2030 according to Transforma Insights.) IoT devices offer […]

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HighByte Intelligence Hub

Connecting an Industrial Universal Namespace to AWS IoT SiteWise using HighByte Intelligence Hub

This post was co-authored with Michael Brown, Sr. Manufacturing Specialist Architect, AWS; Dr. Rajesh Gomatam, Sr. Partner Solutions Architect, Industrial Software Specialist, AWS; Scott Robertson, Sr. Partner Solutions Architect, Manufacturing, AWS; John Harrington, Chief Business Officer, HighByte; and Aron Semie, Chief Technology Officer, HighByte Merging industrial and enterprise data across multiple on-premises deployments and industrial […]

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Figure 1: High-level ingestion and analytics architecture

Detect Real-Time Anomalies and Failures in Industrial Processes Using Apache Flink

For a long time, industrial control systems were the heart of the manufacturing process which allows collecting, processing, and acting on data from the shop floor. Process manufacturers used a distributed control system (DCS) to do the automated control and operation of an industrial process or plant. With the convergence of operational technology and information […]

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Figure 2. Technical workflow for Meshify IoT architecture

How Meshify Built an Insurance-focused IoT Solution on AWS

The ability to analyze your Internet of Things (IoT) data can help you prevent loss, improve safety, boost productivity, and even develop an entirely new business model. This data is even more valuable, with the ever-increasing number of connected devices. Companies use Amazon Web Services (AWS) IoT services to build innovative solutions, including secure edge […]

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Figure 3. FL prototype deployed on Amazon ECS Fargate containers and AWS IoT Greengrass cores.

Applying Federated Learning for ML at the Edge

Federated Learning (FL) is an emerging approach to machine learning (ML) where model training data is not stored in a central location. During ML training, we typically need to access the entire training dataset on a single machine. For purposes of performance scaling, we divide the training data between multiple CPUs, multiple GPUs, or a […]

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Figure 6. IoT Device Simulator architecture

Optimize your IoT Services for Scale with IoT Device Simulator

The IoT (Internet of Things) has accelerated digital transformation for many industries. Companies can now offer smarter home devices, remote patient monitoring, connected and autonomous vehicles, smart consumer devices, and many more products. The enormous volume of data emitted from IoT devices can be used to improve performance, efficiency, and develop new service and business […]

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Figure 1. PI Connector architecture

Ingesting PI Historian data to AWS Cloud using AWS IoT Greengrass and PI Web Services

In process manufacturing, it’s important to fetch real-time data from data historians to support decisions-based analytics. Most manufacturing use cases require real-time data for early identification and mitigation of manufacturing issues. A limited set of commercial off-the-shelf (COTS) tools integrate with OSIsoft’s PI Historian for real-time data. However, each integration requires months of development effort, […]

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Figure 3. AVA 3.0 architecture

New Amazon Virtual Andon 3.0 – Automate Issue Resolution via APIs and Predictive Services

Developing a modern manufacturing enterprise requires careful thought and attention to several priorities. Predictive maintenance and issue resolution automation are likely high on your list. Maximizing your operational efficiency and optimizing output are critical in this competitive global market. As demand grows, manufacturers are under pressure to fulfill increased production needs. A recent report from […]

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Architecture Monthly Magazine: IoT for the Edge

Internet of Things (IoT) for the Edge encompasses so many devices and industries, that we couldn’t pick just one photo for our cover. We include IoT use cases from manufacturing, fitness, ocean research, and agriculture. And these represent only a fraction of what is possible. By moving certain workloads to the edge, your devices communicate […]

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Field Notes: Tracking Overall Equipment Effectiveness with AWS IoT Analytics and Amazon QuickSight

This post was co-authored with Michael Brown, Senior Solutions Architect, Manufacturing at AWS. Overall equipment effectiveness (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run. Measuring OEE provides a way to obtain actionable insights […]

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