AWS Architecture Blog

Category: Internet of Things

AWS Partner DXC Luxsoft to create an end-to-end system architecture

Software-defined edge architecture for connected vehicles

To remain competitive in a marketplace that increasingly views transportation as a service emphasizing customer experience, vehicle capabilities and mobility applications need to improve and increase value over time, much like the internet of things and smart phones have done. Vehicle manufacturers and fleet operators are responding to this change by using data to inform […]

AWS IoT Greengrass stream manager sending data directly to Kinesis

Creating scalable architectures with AWS IoT Greengrass stream manager

Designing a scalable, global, real-time, distributed system to process millions of messages from a variety of critical devices can complicate architectures. Collecting large data streams or image recognition from the edge also requires scalable solutions. AWS IoT Core is designed to handle large numbers of Internet of things (IoT) devices sending a few messages per […]

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 […]

Let's Architect

Let’s Architect! Architecting for the edge

Edge computing comprises elements of geography and networking and brings computing closer to the end users of the application. For example, using a content delivery network (CDN) such as AWS CloudFront can help video streaming providers reduce latency for distributing their material by taking advantage of caching at the edge. Another example might look like […]

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 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 […]

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 […]