AWS Architecture Blog

Category: Compute

Figure 1. Automated form data extraction architecture

Automate your Data Extraction for Oil Well Data with Amazon Textract

Traditionally, many businesses archive physical formats of their business documents. These can be invoices, sales memos, purchase orders, vendor-related documents, and inventory documents. As more and more businesses are moving towards digitizing their business processes, it is becoming challenging to effectively manage these documents and perform business analytics on them. For example, in the Oil […]

Figure 1. MGN service architecture

Multi-Region Migration using AWS Application Migration Service

AWS customers are in various stages of their cloud journey. Frequently, enterprises begin that journey by rehosting (lift-and-shift migrating) their on-premises workloads into AWS, and running Amazon Elastic Compute Cloud (Amazon EC2) instances. You can rehost using AWS Application Migration Service (MGN), a cloud-native migration tool. You may need to relocate instances and workloads to […]

Figure 1. User interface communicating with API Gateway to upload a file to a S3 bucket using a presigned URL

Deploying Sample UI Forms using React, Formik, and AWS CDK

Companies in many industries use UI forms to collect customer data for account registrations, online shopping, and surveys. It can be tedious to create form fields. Proper use of input validation can help users easily find and fix mistakes. Best practice is that users should not see a form filled with “this field is required” […]

Figure 1. IBM MQ with Amazon FSx NetApp ONTAP

Running IBM MQ on AWS using High-performance Amazon FSx for NetApp ONTAP

Many Amazon Web Services (AWS) customers use IBM MQ on-premises and are looking to migrate it to the AWS Cloud. For persistent storage requirements with IBM MQ on AWS, Amazon Elastic File System (Amazon EFS) can be used for distributed storage and to provide high availability. The AWS QuickStart to deploy IBM MQ with Amazon […]

Figure 1. Architecture diagram for autonomous driving simulation

How to Run Massively Scalable ADAS Simulation Workloads on CAEdge

This post was co-written by Hendrik Schoeneberg, Sr. Global Big Data Architect, The An Binh Nguyen, Product Owner for Cloud Simulation at Continental, Autonomous Mobility – Engineering Platform, Rumeshkrishnan Mohan, Global Big Data Architect, and Junjie Tang, Principal Consultant at AWS Professional Services. AV/ADAS simulations processing large-scale field sensor data such as radar, lidar, and […]

Figure 1. Architecture diagram of an anomaly detection solution for ecommerce traffic

Automating Anomaly Detection in Ecommerce Traffic Patterns

Many organizations with large ecommerce presences have procedures to detect major anomalies in their user traffic. Often, these processes use static alerts or manual monitoring. However, the ability to detect minor anomalies in traffic patterns near real-time can be challenging. Early detection of these minor anomalies in ecommerce traffic (such as website page visits and […]

Figure 1. Connect data streaming automation workflow

Automate Amazon Connect Data Streaming using AWS CDK

Many customers want to provision Amazon Web Services (AWS) cloud resources quickly and consistently with lifecycle management, by treating infrastructure as code (IaC). Commonly used services are AWS CloudFormation and HashiCorp Terraform. Currently, customers set up Amazon Connect data streaming manually, as the service is not available under CloudFormation resource types. Customers may want to […]

Figure 2. Architecture diagram for financial crime discovery

Financial Crime Discovery using Amazon EKS and Graph Databases

Discovering and solving financial crimes has become a challenge due to an increasing amount of financial data. While storing transactional payment data in a structured table format is useful for searching, filtering, and calculations, it is not always an ideal way to represent transactional data. For example, determining if there is a suspicious financial relationship […]

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 […]

Figure 1. Pulse ingestion module architecture

Codacy Measures Developer Productivity using AWS Serverless

Codacy is a DevOps insights company based in Lisbon, Portugal. Since its launch in 2012, Codacy has helped software development and engineering teams reduce defects, keep technical debt in check, and ship better code, faster. Codacy’s latest product, Pulse, is a service that helps understand and improve the performance of software engineering teams. This includes […]