Quantitative Finance on Amazon Web Services
Architecture and Cloud Design Principles
10 Lessons from 10 Years of Amazon Web Services
Extending C++ Quant Libraries to AWS
AWS Case Study: NASDAQ OMX
Crunching Numbers in the Cloud with Spot Instances
Swap Valuation Demo
Extending C++ Quant Libraries to AWS2016/01/06
Unbundling C++ Quant Libraries on Amazon Web Services2015/07/17
AWS Cloud Adoption Framework
AWS Cloud Adoption Framework Security Perspective
Security at Scale: Governance in AWS
Backup and Recovery Approaches Using AWS
Big Data Analytics Options on AWS
Enterprise Data Warehousing on AWS
How do we acquire and manage Financial Market Data in the Cloud?
- Data acquisition via APIs
- Direct Connect and Market Data feeds on AWS
- Create and buffer custom data streams from “firehose” data feeds
- How do we ingest and process and aggregate real-time on-premises data streams?
This example runs as an AWS Node.js Lambda function, Python function, or as native C++ code. Our work enables these function to run on any device in any architecture.