High-Performance Real-time Distributed System RabbitMQ + Kafka + Redis Practical Project

This course is a practical course that integrates RabbitMQ, Kafka, and Redis, which are essential distributed system technologies in practice, and can be applied directly to actual projects . Built on Python Flask, this course covers the process of directly developing a high-volume traffic processing, real-time data streaming, high-performance caching, and notification system .

importance!

This course is for those who have a basic understanding of RabbitMQ, Kafka, and Redis, and want to integrate them specifically into actual services.

What will you learn?

Integrated set of Python, Flask, Kafka, Redis, rabbitmq

• Building an asynchronous order processing system using RabbitMQ:
  Implement a reliable asynchronous processing architecture through hands-on experience with messaging system design strategies, various exchange types, failure simulation, DLQ, and retry handling.

• Real-time event streaming and data analytics using Kafka:
  You will learn the entire process of event-driven architecture through hands-on practice of building real-time data pipelines, TPS aggregation and anomaly detection using Kafka Streams, Elastic Search integration, and 10,000 load tests.

• Developing an ultra-fast caching and real-time notification system using Redis:
  We will implement a real-time order status board using Cache-Aside and Write-Through strategies, Redis Pub/Sub, and WebSockets to improve API performance and achieve fast data response.

• Unified Architecture Final Project:
  By implementing a Stripe-level “real-time payment transaction & notification system,” an Airbnb-style “accommodation reservation & price prediction system,” and a fault propagation prevention system (e.g. Circuit Breaker, Fallback mechanism), you will master technical integration and operational strategies.

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Expected effects after taking the course

• Developing professional practical skills:
  You will gain the ability to design and operate large-scale systems that integrate RabbitMQ, Kafka, and Redis.

• Building a high-performance backend:
  You can implement high-performance transaction and real-time data analysis systems by leveraging cutting-edge technologies such as Flask, Celery, and Kafka Streams.

  
  

Who created this course

• 2024.05 ~ Present: Software Engineer, Artificial Intelligence Startup, Silicon Valley, USA

• 2023.08 ~ 2024.04: US Big Tech Engineer Fellowship Full Stack Software Engineer Fellow

• ~2022.10 @Employed at a domestic company (search portal/fintech, AI)

  
  

Things to note before taking the class