AWS Architecture Blog

Category: AWS IoT Greengrass

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 […]

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 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 […]

Reference architecture for an IoT-enabled supply chain consisting of a retailer and a manufacturer

Audit Your Supply Chain with Amazon Managed Blockchain

For manufacturing companies, visibility into complex supply chain processes is critical to establishing resilient supply chain management. Being able to trace events within a supply chain is key to verifying the origins of parts for regulatory requirements, tracing parts back to suppliers if issues arise, and for contacting buyers if there is a product/part recall. […]

Data ingestion options from on-premises devices to AWS

Enhancing Existing Building Systems with AWS IoT Services

With the introduction of cloud technology and by extension the rapid emergence of Internet of Things (IoT), the barrier to entry for creating smart building solutions has never been lower. These solutions offer commercial real estate customers potential cost savings and the ability to enhance their tenants’ experience. You can differentiate your business from competitors […]

IoT Sitewise Architecture diagram

Field Notes: Connecting Industrial Assets and Machines to the AWS Cloud

One of the challenges faced by manufacturers who are building a smart factory, is how to securely connect to and ingest data from operational data sources. These include machines and industrial assets connecting into their industrial data platform. The ‘industrial edge’ is a foundational architectural building block that addresses this and enables OT/IT integration (operational […]

Olympus Tower - Grov Technologies

Building a Controlled Environment Agriculture Platform

This post was co-written by Michael Wirig, Software Engineering Manager at Grōv Technologies. A substantial percentage of the world’s habitable land is used for livestock farming for dairy and meat production. The dairy industry has leveraged technology to gain insights that have led to drastic improvements and are continuing to accelerate. A gallon of milk […]

Samba file share solution diagram

Field Notes: Ingest and Visualize Your Flat-file IoT Data with AWS IoT Services

Customers who maintain manufacturing facilities often find it challenging to ingest, centralize, and visualize IoT data that is emitted in flat-file format from their factory equipment. While modern IoT-enabled industrial devices can communicate over standard protocols like MQTT, there are still some legacy devices that generate useful data but are only capable of writing it […]