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 Read more…

Building end-to-end AWS DevSecOps CI/CD pipeline with open source SCA, SAST and DAST tools

DevOps is a combination of cultural philosophies, practices, and tools that combine software development with information technology operations. These combined practices enable companies to deliver new application features and improved services to customers at a higher velocity. DevSecOps takes this a step further, integrating security into DevOps. With DevSecOps, you Read more…

Field Notes: How FactSet Uses ‘microAccounts’ to Reduce Developer Friction and Maintain Security at Scale

This is 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 Read more…

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 Read more…

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 Read more…