AWS Architecture Blog

Category: Manufacturing

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 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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Field Notes: Building an Industrial Data Platform to Gather Insights from Operational Data

Co-authored with Russell de Pina, former Sr. Partner Solutions Architect at AWS Manufacturers looking to achieve greater operational efficiency need actionable insights from their operational data. Traditionally, operational technology (OT) and enterprise information technology (IT) existed in silos with various manual processes to clean and process data. Leveraging insights at a process level requires converging […]

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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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Figure 8. Architecture diagram of entire data collection and classification process

Serverless Architecture for a Structured Data Mining Solution

Many businesses have an essential need for structured data stored in their own database for business operations and offerings. For example, a company that produces electronics may want to store a structured dataset of parts. This requires the following properties: color, weight, connector type, and more. This data may already be available from external sources. […]

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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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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 […]

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Figure 1. Synchronous container applications diagram

Scaling Data Analytics Containers with Event-based Lambda Functions

The marketing industry collects and uses data from various stages of the customer journey. When they analyze this data, they establish metrics and develop actionable insights that are then used to invest in customers and generate revenue. If you’re a data scientist or developer in the marketing industry, you likely often use containers for services […]

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MDM Architecture Diagram

Digitally transform your factory with Machine Downtime Monitor on AWS

In manufacturing enterprises, digital transformation and Industry 4.0 are likely at the top of your mind. New technologies in the Industrial Internet of Things (IIoT) space are critical for monitoring your factory production environments for optimal performance and efficiency. Global events such as Covid-19 have increased interest in monitoring factory performance digitally, when access to […]

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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 […]

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