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 (or compressed representations) or any other artifact necessary to improve downstream machine learning (ML) models or back-end services. With the advent of generative AI, it’s fundamental to understand what it is, how it works under the hood ..read more

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, we build on the benchmarking concepts presented in Part 5. You will learn how to train machine learning (ML) models on historical data to predict the cost of future runs. While we focus on genomics, the design pattern is broadly applicable to any compute-intensive ..read more

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 allows LSEG to simulate real-world failures in their cloud systems as part of controlled experiments. This methodology improves resilience and observability, which reduces risk and helps achieve compliance with regulators before deploy ..read more

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 the document repository of a global life sciences company. Before this enhancement, the native repository search function relied solely on keywords and document names, leading to a trial-and-error process. Now, scientists can effortl ..read more

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. As wind energy adoption grows, issues like gearbox fatigue and leading-edge erosion need to be resolved to ensure a predictable supply of energy. For example, in the United States, wind turbines underperform by as much as 10 ..read more

2023 was a rollercoaster year in tech, and we at the AWS Architecture Blog feel so fortunate to have shared in the excitement. As we move into 2024 and all of the new technologies we could see, we want to take a moment to highlight the brightest stars from 2023. As always, thanks to our readers and to the many talented and hardworking Solutions Architects and other contributors to our blog. I give you our 2023 cream of the crop! #10: Build a serverless retail solution for endless aisle on AWS In this post, Sandeep and Shashank help retailers and their customers alike in this guided approach to ..read more

A common challenge organizations face is how to gain confidence in and provide evidence for the continuous resilience of their workloads. Using modern chaos engineering principles can help in meeting this challenge, but the practice of chaos engineering can become complex. As a result, both the definition of the inputs and comprehension of the outputs of the process can become inaccessible to non-technical stakeholders. In this post, we will explore a working example of how you can build chaos experiments using human readable language, AWS Fault Injection Simulator (FIS), and a framework famil ..read more

Introduction Zurich Insurance Group is a leading multi-line global insurer operating in more than 200 territories. Headquartered in Zurich, Switzerland, their main business is life and property and casualty (P&C) insurance. In 2022, Zurich began a multi-year program to accelerate their digital transformation and innovation through migration of 1,000 workloads to AWS, including core insurance and SAP workloads. During 2022, Zurich built out their Global Cloud Foundation – a set of foundational global AWS capabilities required to begin migrating workloads to the AWS Cloud, including the Scal ..read more

SonarCloud, a software-as-a-service (SaaS) product developed by Sonar, seamlessly integrates into developers’ CI/CD workflows to increase code quality and identify vulnerabilities. Over the last few months, Sonar’s cloud engineers have worked on modernizing SonarCloud to increase the lead time to production. Following Domain Driven Design principles, Sonar split the application into multiple business domains, each owned by independent teams. They also built a unified API to expose these domains publicly. This blog post will explore Sonar’s design for SonarCloud’s unified API, utilizing Elastic ..read more

Designing a system to be either stateful or stateless is an important choice with tradeoffs regarding its performance and scalability. In a stateful system, data from one session is carried over to the next. A stateless system doesn’t preserve data between sessions and depends on external entities such as databases or cache to manage state. Stateful and stateless architectures are both widely adopted. Stateful applications are typically simple to deploy. Stateful applications save client session data on the server, allowing for faster processing and improved performance. Stateful applications ..read more