AWS Architecture Blog

Figure 6. Architecture overview

Build a Virtual Waiting Room with Amazon DynamoDB and AWS Lambda at SeatGeek

As retail sales, products, and customers continue to expand online, we’ve seen a trend towards releasing products in limited quantities to larger audiences. Demand of these products can be high, due to limited production capacity, venue capacity limits, or product exclusivity. Providers can then experience spikes in transaction volume, especially when multiple event sales occur […]

Figure 1. Architectural diagram for a highly available (HA) deployment of OMERO on AWS including data ingestion options

Manage your Digital Microscopy Data using OMERO on AWS

The Open Microscopy Environment (OME) consortium develops open-source software and format standards for microscopy data. OME Remote Objects (OMERO) is an open source, image data management platform designed to support digital pathology and cellular biology studies. You can access, share, and work with various biological data. This can include histopathology, high content screening, electron microscopy, […]

Architecture showing how to build a Scalable Real-Time Newsfeed Watchlist Using Amazon Comprehend

Field Notes: Building a Scalable Real-Time Newsfeed Watchlist Using Amazon Comprehend

One of the challenges businesses have is to constantly monitor information via media outlets and be alerted when a key interest is picked up, such as individual, product, or company information. One way to do this is to scan media and news feeds against a company watchlist. The list may contain personal names, organizations or […]

Figure 3 - IVR flow leveraging dynamically generated menu options.

Field Notes: Build Dynamic IVR Menus with Amazon Connect and AWS Lambda

This post was co-written by Marius Cealera, Senior Partner Solutions Architect at AWS, and Zdenko Estok, Cloud Architect and DevOps Engineer at Accenture.  Modern interactive voice response (IVR) systems help customers find answers to their questions through a series of menus, usually relying on the customer to filter and select the right options. Adding more […]

DR implementation architecture on multi-Region active-passive workloads

Implementing Multi-Region Disaster Recovery Using Event-Driven Architecture

In this blog post, we share a reference architecture that uses a multi-Region active/passive strategy to implement a hot standby strategy for disaster recovery (DR). We highlight the benefits of performing DR failover using event-driven, serverless architecture, which provides high reliability, one of the pillars of AWS Well Architected Framework. With the multi-Region active/passive strategy, your workloads […]

Figure 1. Notional architecture for improving forecasting accuracy solution and SAP integration

Improving Retail Forecast Accuracy with Machine Learning

The global retail market continues to grow larger and the influx of consumer data increases daily. The rise in volume, variety, and velocity of data poses challenges with demand forecasting and inventory planning. Outdated systems generate inaccurate demand forecasts. This results in multiple challenges for retailers. They are faced with over-stocking and lost sales, and […]

How to redact confidential information in your ML pipeline

Integrating Redaction of FinServ Data into a Machine Learning Pipeline

Financial companies process hundreds of thousands of documents every day. These include loan and mortgage statements that contain large amounts of confidential customer information. Data privacy requires that sensitive data be redacted to protect the customer and the institution. Redacting digital and physical documents is time-consuming and labor-intensive. The accidental or inadvertent release of personal information […]

Figure 2. Fraud detection using machine learning architecture on AWS

Analyze Fraud Transactions using Amazon Fraud Detector and Amazon Athena

Organizations with online businesses have to be on guard constantly for fraudulent activity, such as fake accounts or payments made with stolen credit cards. One way they try to identify fraudsters is by using fraud detection applications. Some of these applications use machine learning (ML). A common challenge with ML is the need for a […]

Figure 3. Multi-VPC centralized architecture

Choosing Your VPC Endpoint Strategy for Amazon S3

This post was co-written with Anusha Dharmalingam, former AWS Solutions Architect. Must your Amazon Web Services (AWS) application connect to Amazon Simple Storage Service (Amazon S3) buckets? Must the connection scale to accommodate bandwidth demands? AWS offers a mechanism called VPC endpoint to meet these requirements. This blog post provides guidance for selecting the right […]

Architecture diagram

CohnReznick Automates Claim Validation Workflow Using AWS AI Services

This post was co-written by Winn Oo and Brendan Byam of CohnReznick and Rajeswari Malladi and Shanthan Kesharaju CohnReznick is a leading advisory, assurance, and tax firm serving clients around the world. CohnReznick’s government and public sector practice provides claims audit and verification services for state agencies. This process begins with recipients submitting documentation as […]