AWS Architecture Blog

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Let’s Architect! Migrating to the cloud with AWS

In today’s digital world, businesses are increasingly turning to the cloud for its scalability, agility, and cost-effectiveness. Migrating your data center to the cloud can be a daunting task, but with the right approach and tools, it can be a successful journey. This Let’s Architect! blog post will guide you through the process of migrating […]

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 […]

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Let’s Architect! Learn About Machine Learning on AWS

A data-driven approach empowers businesses to make informed decisions based on accurate predictions and forecasts, leading to improved operational efficiency and resource optimization. Machine learning (ML) systems have the remarkable ability to continuously learn and adapt, improving their performance over time as they are exposed to more data. This self-learning capability ensures that organizations can […]

Architecture for deploying stable diffusion on ComfyUI

Deploy Stable Diffusion ComfyUI on AWS elastically and efficiently

Introduction ComfyUI is an open-source node-based workflow solution for Stable Diffusion. It offers the following advantages: Significant performance optimization for SDXL model inference High customizability, allowing users granular control Portable workflows that can be shared easily Developer-friendly Due to these advantages, ComfyUI is increasingly being used by artistic creators. In this post, we will introduce […]

When the application experiences an impairment using S3 resources in the primary Region, it fails over to use an S3 bucket in the secondary Region.

Creating an organizational multi-Region failover strategy

AWS Regions provide fault isolation boundaries that prevent correlated failure and contain the impact from AWS service impairments to a single Region when they occur. You can use these fault boundaries to build multi-Region applications that consist of independent, fault-isolated replicas in each Region that limit shared fate scenarios. This allows you to build multi-Region […]

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Let’s Architect! Discovering Generative AI on AWS

Generative artificial intelligence (generative AI) is a type of AI used to generate content, including conversations, images, videos, and music. Generative AI can be used directly to build customer-facing features (a chatbot or an image generator), or it can serve as an underlying component in a more complex system. For example, it can generate embeddings […]

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, […]

Chaos engineering pattern for hybrid architecture (3-tier application)

London Stock Exchange Group uses chaos engineering on AWS to improve resilience

This post was co-written with Luke Sudgen, Lead DevOps Engineer Post Trade, and Padraig Murphy, Solutions Architect Post Trade, from London Stock Exchange Group. In this post, we’ll discuss some failure scenarios that were tested by London Stock Exchange Group (LSEG) Post Trade Technology teams during a chaos engineering event supported by AWS. Chaos engineering […]

Intelligent search bot for enterprise document management systems

Simplify document search at scale with intelligent search bot on AWS

Enterprise document management systems (EDMS) manage the lifecycle and distribution of documents. They often rely on keyword-based search functionality. However, it increasingly becomes hard to discover documents as such repositories grow to tens of thousands of items. In this blog, we discuss how Amazon Web Services (AWS) built an intelligent search bot on top of […]

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. […]