Real Time Investment Alerts using Apache Kafka at ING Bank

This presentation was recorded at GOTO Amsterdam 2019. #GOTOcon #GOTOams http://gotoams.nl

Marcos Maia - Full Stack Engineer at ING Tim van Baarsen - Full Stack Engineer at ING

ABSTRACT As ING is dedicated to staying a step ahead and always looking for solutions to better serve our customers. Nowadays our customers are expecting real time interactions with investments products and services we deliver at ING Bank especially because financial market fluctuations can have a direct impact on the investments performance of our customers. Learn how ING alerts their customers in real time about price fluctuations on stocks in their portfolio with the goal to give customers the opportunity to make decisions and act fast when stocks are dropping or increasing in price. In this talk, we present how we deal with the massive stream of price updates on stocks and how we leverage many features of Apache Kafka to improve and simplify our solutions. From simple producer / consumer up to advanced usage of streams we strongly rely on Kafka to solve our functional and non-functional requirements delivering high quality, real time stream processing software that is reliable, precise and extremely valuable to our customers. One of the main challenges of this project was to deal with a massive continuous stream of stock price updates and matching them against thousands of alerts created by our customers and still keep up with sending real time alerts to them. If you are on the business side you will be able to understand how we use Kafka to fulfil legal regulations while delivering extra value to our customers. If you are a Developer you will have a chance to understand how we use many of the Kafka features to deliver simple, quality and reliable software that fulfil the business […]

Download slides and read the full abstract here: https://gotoams.nl/2019/sessions/990

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