AWS Architecture Blog

Category: AWS IoT Core

Building event-driven architectures with IoT sensor data

The Internet of Things (IoT) brings sensors, cloud computing, analytics, and people together to improve productivity and efficiency. It empowers customers with the intelligence they need to build new services and business models, improve products and services over time, understand their customers’ needs to provide better services, and improve customer experiences. Business operations become more […]

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 […]

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 […]

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 […]

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 […]

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 […]

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, […]

Figure 4. Machine to Cloud Connectivity (M2C2) Framework architecture

Securely Ingest Industrial Data to AWS via Machine to Cloud Solution

As a manufacturing enterprise, maximizing your operational efficiency and optimizing output are critical factors in this competitive global market. However, many manufacturers are unable to frequently collect data, link data together, and generate insights to help them optimize performance. Furthermore, decades of competing standards for connectivity have resulted in the lack of universal protocols to […]