Business Rules in a Microservices Architecture

Business Rules and Machine Learning Model predictions generally drive decision-making in lot of use cases such as fraud detection, marketing, customer experience, etc. There is an increasing need to w …

Business Rules and Machine Learning Model predictions generally drive decision-making in lot of use cases such as fraud detection, marketing, customer experience, etc. There is an increasing need to write, test and deploy decision-making rules as quickly as possible with little-to-no engineer involvement in today’s quickly changing environment.This presentation will focus on providing an insight into the challenges involved and applied solutions around resiliency, availability, monitoring, etc. while developing the micro-services style design that takes advantages of real time data streams to help to reduce the time-to-market and simplify the construction of various decision-making applications.This talk will also provide insight into how we have leveraged Kubernetes features to support dynamically scalable and fault-tolerant decision-making based applications.