AWS Architecture Blog
Category: Architecture
Scaling Neuroscience Research on AWS
HHMI’s Janelia Research Campus in Ashburn, Virginia has an integrated team of lab scientists and tool-builders who pursue a small number of scientific questions with potential for transformative impact. To drive science forward, we share our methods, results, and tools with the scientific community. Introduction Our neuroscience research application involves image searches that are computationally […]
Zurich Spain: Managing Millions of Documents with AWS
This post was cowritten with Oscar Gali, Head of Technology and Architecture for GI in Zurich, Spain About Zurich Spain Zurich Spain is part of Zurich Insurance Group (Zurich), known for its financial soundness and solvency. With more than 135 years of history and over 2,000 employees, it is a leading company in the Spanish […]
Building Multi-partner integration on AWS using Event-Driven Architecture
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Summary Finserv MARKETS enables customers to buy financial services products such as credit cards, loans, insurance, and investments from various partners. Finserv MARKETS integrates with a large number of partners in real time to provide services to customers. Each partner […]
Top 15 Architecture Blog Posts of 2020
The goal of the AWS Architecture Blog is to highlight best practices and provide architectural guidance. We publish thought leadership pieces that encourage readers to discover other technical documentation, such as solutions and managed solutions, other AWS blogs, videos, reference architectures, whitepapers, and guides, Training & Certification, case studies, and the AWS Architecture Monthly Magazine. […]
Field Notes: Speed Up Redaction of Connected Car Data by Multiprocessing Video Footage with Amazon Rekognition
In the blog, Redacting Personal Data from Connected Cars Using Amazon Rekognition, we demonstrated how you can redact personal data such as human faces using Amazon Rekognition. Traversing the video, frame by frame, and identifying personal information in each frame takes time. This solution is great for small video clips, where you do not need […]
Field Notes: How FactSet Uses ‘microAccounts’ to Reduce Developer Friction and Maintain Security at Scale
This post was co-written by FactSet’s Cloud Infrastructure team, Gaurav Jain, Nathan Goodman, Geoff Wang, Daniel Cordes, Sunu Joseph and AWS Solution Architects, Amit Borulkar and Tarik Makota. FactSet considers developer self-service and DevOps essential for realizing cloud benefits. As part of their cloud adoption journey, they wanted developers to have a frictionless infrastructure provisioning […]
Using Route 53 Private Hosted Zones for Cross-account Multi-region Architectures
This post was co-written by Anandprasanna Gaitonde, AWS Solutions Architect and John Bickle, Senior Technical Account Manager, AWS Enterprise Support Introduction Many AWS customers have internal business applications spread over multiple AWS accounts and on-premises to support different business units. In such environments, you may find a consistent view of DNS records and domain names […]
Field Notes: Improving Call Center Experiences with Iterative Bot Training Using Amazon Connect and Amazon Lex
This post was co-written by Abdullah Sahin, senior technology architect at Accenture, and Muhammad Qasim, software engineer at Accenture. Organizations deploying call-center chat bots are interested in evolving their solutions continuously, in response to changing customer demands. When developing a smart chat bot, some requests can be predicted (for example following a new product launch […]
Automating Recommendation Engine Training with Amazon Personalize and AWS Glue
Customers from startups to enterprises observe increased revenue when personalizing customer interactions. Still, many companies are not yet leveraging the power of personalization, or, are relying solely on rule-based strategies. Those strategies are effort-intensive to maintain and not effective. Common reasons for not launching machine learning (ML) based personalization projects include: the complexity of aggregating […]
Field Notes: Applying Machine Learning to Vegetation Management using Amazon SageMaker
This post was co-written by Louis Lim, a manager in Accenture AWS Business Group, and Soheil Moosavi, a data scientist consultant in Accenture Applied Intelligence (AAI) team. Virtually every electric customer in the US and Canada has, at one time or another, experienced a sustained electric outage as a direct result of a tree and […]









