AWS Architecture Blog

Category: Industries

Enterprise-level AWS architecture diagram showing secured API gateway with multi-account EKS service distribution

Transforming Maya’s API management with Amazon API Gateway

In this post, you will learn how Amazon Web Services (AWS) customer, Maya, the Philippines’ leading fintech company and digital bank, built an API management platform to address the growing complexities of managing multiple APIs hosted on Amazon API Gateway.

Revolutionizing agricultural knowledge management using a multi-modal LLM: A reference architecture

In this blog post, we introduce a reference architecture that offers an intelligent document digitization solution that converts handwritten notes, scanned documents, and images into editable, searchable, and accessible formats. Powered by Anthropic’s Claude 3 on Amazon Bedrock, the solution uses the sophisticated vision capabilities of LLMs to process a wide range of visual formats, preserving the original formatting while extracting text, tables, and images.

How Banfico built an Open Banking and Payment Services Directive (PSD2) compliance solution on AWS

This post was co-written with Paulo Barbosa, the COO of Banfico.  Introduction Banfico is a London-based FinTech company, providing market-leading Open Banking regulatory compliance solutions. Over 185 leading Financial Institutions and FinTech companies use Banfico to streamline their compliance process and deliver the future of banking. Under the EU’s revised PSD2, banks can use application […]

Genomics workflows, Part 7: analyze public RNA sequencing data using AWS HealthOmics

Genomics workflows process petabyte-scale datasets on large pools of compute resources. In this blog post, we discuss how life science organizations can use Amazon Web Services (AWS) to run transcriptomic sequencing data analysis using public datasets. This allows users to quickly test research hypotheses against larger datasets in support of clinical diagnostics. We use AWS […]

This visual summarizes the cost prediction and model training processes. Users request cost predictions for future workflow runs on a web frontend hosted in AWS Amplify. The frontend passes the requests to an Amazon API Gateway endpoint with Lambda integration. The Lambda function retrieves the suitable model endpoint from the DynamoDB table and invokes the model via the Amazon SageMaker API. Model training runs on a schedule and is orchestrated by an AWS Step Functions state machine. The state machine queries training datasets from the DynamoDB table. If the new model performs better, it is registered in the SageMaker model registry. Otherwise, the state machine sends a notification to an Amazon Simple Notification Service topic stating that there are no updates.

Genomics workflows, Part 6: cost prediction

Genomics workflows run on large pools of compute resources and take petabyte-scale datasets as inputs. Workflow runs can cost as much as hundreds of thousands of US dollars. Given this large scale, scientists want to estimate the projected cost of their genomics workflow runs before deciding to launch them. In Part 6 of this series, […]

Architecture for wind turbine digital twin solution

Physics on AWS: Optimizing wind turbine performance using OpenFAST in a digital twin

Wind energy plays a crucial role in global decarbonization efforts by generating emission-free power from an abundant resource. In 2022, wind energy produced 2100 terawatt-hours (TWh) globally, or over 7% of global electricity, with expectations to reach 7400 TWh by 2030. Despite its potential, several challenges must be addressed to help meet grid decarbonization targets. […]

AWS Partner DXC Luxsoft to create an end-to-end system architecture

Software-defined edge architecture for connected vehicles

To remain competitive in a marketplace that increasingly views transportation as a service emphasizing customer experience, vehicle capabilities and mobility applications need to improve and increase value over time, much like the internet of things and smart phones have done. Vehicle manufacturers and fleet operators are responding to this change by using data to inform […]

Marketing CDP reference on AWS

A modern approach to implementing the serverless Customer Data Platform

When building a Customer Data Platform (CDP), advertising and marketing Independent Software Vendors (ISVs) face a unique set of challenges. The ISV can help organizations with the heavy lifting required to build, secure, and maintain near real-time, high volume CDPs. However, architecting CDPs using traditional on-premises technologies can introduce multiple complexities and can limit deployment […]