AWS Architecture Blog
Category: Messaging
The Technology Behind KFC’s Finger Lickin’ Good Success
This post was written by Jaime Hall of KFC At Kentucky Fried Chicken (KFC), our platform has constantly evolved over the past four years. Since the shift to bring all development in house, we’ve been making great progress. During this time, KFC has grown dramatically within the digital space. Underpinning it all, we aim to […]
NLX is Helping Travelers Amid Disruption with AI-Powered Automation
This post was co-written by Andrei Papancea and Vlad Papancea of NLX and Sekhar Mallipeddi Travel impacts brought by the global pandemic left several airlines experiencing frequent flight disruptions, which increased flight scheduling change notifications being made to affected travelers. Every month, tens of thousands of passengers and related flight crew have to be contacted […]
Journey to Adopt Cloud-Native Architecture Series: #3 – Improved Resilience and Standardized Observability
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. In the last blog, Maximizing System Throughput, we talked about design patterns you can adopt to address immediate scaling challenges to provide a better customer experience. In this blog, we talk about architecture patterns to improve system resiliency, why observability […]
Architecting Cross-channel Intelligent Customer Engagements
Recently, we have had customers express the desire to build “omni-channels.” These omni-channels provide a centralized overview of digital engagement channels that help you better understand your customers and offer a more personalized experience. Many companies have tried or are trying to implement an omni-channel strategy. However, because most existing channels are built on different platforms and […]
Architecting SWIFT Connectivity on Amazon Web Services (AWS)
The adoption of the ISO 20022 messaging standard by the financial industry will benefit all participants across the payments chain: banks, market infrastructures, corporate, and consumers. By moving the SWIFT messaging and communications infrastructure stack onto AWS, customers can speed their adoption of ISO 20022. At the same time, they can reduce costs, and improve […]
Design Pattern for Highly Parallel Compute: Recursive Scaling with Amazon SQS
Scaling based on Amazon Simple Queue Service (SQS) is a commonly used design pattern. At AWS Professional Services, we have recently used a variant of this pattern to achieve highly parallel computation for larger customers. In fact, any use case with a tree-like set of entities can use this pattern. It’s useful in a workflow […]
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 […]
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 […]
BBVA: Architecture for Large-Scale Macie Implementation
This post was co-written by Andrew Alaniz , Director of Technology Infrastructure, and Brady Pratt, Cloud Security Engineer, both at BBVA USA. Introduction Data Loss Prevention (DLP) is a common topic among companies that work with any type of sensitive data. One of the challenges is that many people either don’t fully understand what DLP […]
Building a Scalable Document Pre-Processing Pipeline
In a recent customer engagement, Quantiphi, Inc., a member of the Amazon Web Services Partner Network, built a solution capable of pre-processing tens of millions of PDF documents before sending them for inference by a machine learning (ML) model. While the customer’s use case—and hence the ML model—was very specific to their needs, the pipeline that does […]