Real Time Investment Alerts using Apache Kafka & Spring Kafka at ING Bank by Tim and Marcos
Spring I/O 2019 - Barcelona, 16-17 May
Speakers: Tim van Baarsen & Marcos Maia
Slides: https://www.slideshare.net/TimvanBaar...
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.
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 and Spring 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.
Main challenges of our project 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.
Why should i attend this talk as a developer?
If you are a developer you will have a chance to understand how we are relying on Spring Boot and Spring Kafka to leverage many of the Kafka features to deliver simple, quality and reliable software that fulfil the business and regulations requirements while learning and having fun doing it!
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.
Watch video Real Time Investment Alerts using Apache Kafka & Spring Kafka at ING Bank by Tim and Marcos online, duration hours minute second in high quality that is uploaded to the channel Spring I/O 11 June 2019. Share the link to the video on social media so that your subscribers and friends will also watch this video. This video clip has been viewed 8,472 times and liked it 146 visitors.
