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Real Time Investment Alerts Using Apache Kafka & Spring Kafka at ING Bank

Spring I/O via YouTube

Overview

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Explore real-time investment alerts using Apache Kafka and Spring Kafka at ING Bank in this 51-minute conference talk from Spring I/O 2019 in Barcelona. Discover how Tim van Baarsen and Marcos Maia tackle the challenge of processing massive streams of stock price updates and matching them against thousands of customer alerts. Learn how ING Bank leverages Apache Kafka and Spring Kafka features to deliver high-quality, real-time stream processing software that meets functional and non-functional requirements. Gain insights into implementing reliable, precise, and valuable solutions for customers in the financial sector. Understand how Spring Boot and Spring Kafka are utilized to create simple yet powerful software that fulfills business and regulatory requirements. Dive into topics such as producer/consumer patterns, advanced stream usage, mobile investment apps, customer and advisor alerts, performance optimization, monitoring, scaling, and Kafka configuration. Whether you're a developer seeking to enhance your stream processing skills or a business professional interested in Kafka's applications in finance, this talk offers valuable knowledge on delivering real-time interactions with investment products and services.

Syllabus

Introduction
Marcoss background
About ING
Agenda
Disclaimer
Regulation
Requirement
Mobile Investment App
Requirements
Why Kafka
Customer Alerts
Advisor Alerts
Running IntelliJ
Mobile Alerts
Apple Stock
Apple Stock Price
Apple Stock Symbol
Create Alert
Load Alerts
Create Alerts
Control Ticks
Stock Price
Spring Kafka
Notification
Kafka Broker
Docker Hub
Alerts
CPU cycles
Kafka performance
Docker
Monitoring
Monitoring Process
Scaling
Kafka Metrics
Kafka Interceptor
Kafka Matrix
Kafka Streams
Kafka Code
Kafka Configuration
Where do you start
Kafka
Before using Spring Kafka

Taught by

Spring I/O

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