This course focuses on teaching how to implement real-time investment alerts using Apache Kafka and Spring Kafka at ING Bank. The learning outcomes include understanding how to leverage Kafka features to deliver reliable and valuable real-time stream processing software. The course covers skills such as using Spring Boot, Spring Kafka, creating alerts, monitoring Kafka performance, and scaling. The teaching method involves a presentation on dealing with massive streams of stock price updates and matching them against customer alerts. The intended audience for this course includes developers looking to learn how to build quality software using Kafka and business professionals interested in understanding how Kafka can add value to customer services while meeting legal regulations.
Overview
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
