It is essential for the modern applications to be fast, efficient, scalable and have the ability to react to changes quickly. In this talk I'll discuss the usage of a reactive programming paradigm we have developed in Capital One and how we leverage reactive and microservice frameworks like Akka and Docker with a focus to score language agnostic ML models in real time.
Quantum Real Time (QRT) is an inner-sourced framework built on Scala/Akka, enabling advanced and reusable capabilities for dynamic workflow orchestration, microservice development with easy creation of API endpoints, and language agnostic machine learning model execution through the use of open source technologies. It provides out of the box orchestration functionality that is configuration driven for rapid reuse during development while ensuring a high performance, fault tolerant and distributed microservice.
This reactive architecture has transformed the way we approach design and development of scalable and efficient applications, integrated with machine learning models that provide real time model scoring capabilities to deliver enhanced customer experience. Thus enhancing the machine learning capabilities to use big data technologies to run computationally intense models that satisfy real time latency requirements.