AWS Architecture Blog

Category: Analytics

Figure 2. Simulated RLN architecture in the AWS Cloud

Scaling DLT to 1M TPS on AWS: Optimizing a Regulated Liabilities Network

SETL is an open source, distributed ledger technology (DLT) company that enables tokenisation, digital custody, and DLT for securities markets and payments. In mid-2021, they developed a blueprint for a Regulated Liabilities Network (RLN) that enables holding and managing a variety of tokenized value irrespective of its form. In a December 2021 collaboration with Amazon […]

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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 2. Control plane architecture

How Ribbon Built a Scalable, Resilient Robocall Mitigation Platform

Ribbon provides communications software, and IP and optical networking end-to-end solutions that deliver innovation, unparalleled scale, performance, and agility to service providers and enterprise. Ribbon is helping customers modernize their networks. In today’s data-hungry, 24/7 world, this equates to improved competitive positioning and business outcomes. Companies are migrating from on-premises equipment for telephony services and looking […]

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Figure 2. Credit application – technical solution using Amazon SageMaker and Experian CaaS ML models

How Experian uses Amazon SageMaker to Deliver Affordability Verification 

Financial Service (FS) providers must identify patterns and signals in a customer’s financial behavior to provide deeper, up-to-the-minute, insight into their affordability and credit risk. FS providers use these insights to improve decision making and customer management capabilities. Machine learning (ML) models and algorithms play a significant role in automating, categorising, and deriving insights from […]

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Building an application with AWS multi-Region services using services covered in Part 1

Creating a Multi-Region Application with AWS Services – Part 2, Data and Replication

Data is at the center of stateful applications. Data consistency models will vary when choosing in-Region vs. multi-Region. In this post, part 2 of 3, we continue to filter through AWS services to focus on data-centric services with native features to help get your data where it needs to be in support of a multi-Region […]

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Figure 1. Heimdall Proxy architecture

Using Amazon Aurora Global Database for Low Latency without Application Changes

Deploying global applications has many challenges, especially when accessing a database to build custom pages for end users. One example is an application using AWS Lambda@Edge. Two main challenges include performance and availability. This blog explains how you can optimally deploy a global application with fast response times and without application changes. The Amazon Aurora […]

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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 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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