Demo: Real-Time Cache Synchronization with Change Data Capture (CDC) PostgreSQL, Debezium, & Kafka

Headline:
A deep dive into building a reactive, event-driven microservices architecture using Change Data Capture (CDC) to maintain real-time cache consistency.

Project Overview:
In this video, I demonstrate a distributed e-commerce backend built with Spring Boot and orchestrated via Netflix Eureka. The core challenge addressed is real-time cache invalidation and state synchronization. Instead of traditional (and often brittle) dual-write patterns, I implement Change Data Capture (CDC) using Debezium to tail the PostgreSQL Write-Ahead Log (WAL).

Changes are streamed through Apache Kafka and consumed by a dedicated synchronization service to keep a Redis cache in lock-step with the primary database.

Key Technical Features:

Microservices Orchestration: Service discovery via Eureka and inter-service communication via Feign Clients.

CDC Pipeline: Debezium connector capturing row-level mutations from Postgres logical replication slots.

Message Broker: Apache Kafka (KRaft mode) handling immutable event streams.

Concurrency & Performance: Double-Checked Locking in the Product Service and multithreaded simulation of 100+ concurrent users.

Real-Time Telemetry: Active user tracking via ConcurrentHashMap and real-time UI updates via WebSockets.

The Tech Stack:

Backend: Java, Spring Boot, Spring Data JPA, Spring Cloud (Eureka, Feign).

Data & Messaging: PostgreSQL, Redis, Apache Kafka, Debezium.

DevOps: Docker (Containerized Kafka & Debezium Connect).

Frontend: React (Visualizer built with AI-assisted prototyping).

Timestamps:
00:00 - Architecture Diagram & System Overview
01:04 - Setting up Postgres WAL & Debezium Connect
01:38 - Initializing the Microservices Cluster
02:57 - Real-time Simulation & Concurrent User Load
03:31 - Deep Dive: The CDC Data Flow (Postgres - Kafka - Redis)
05:43 - Industry Use Cases: CQRS, Auditing, and ETL
06:16 - Final Summary & Conclusion

Email: kakade.abhishek2001@gmail.com
LinkedIn: https://www.linkedin.com/in/abhishekkakade/
GitHub: https://github.com/abhishk12

#Microservices #SystemDesign #Java #SpringBoot #Kafka #Debezium #PostgreSQL #Redis #ChangeDataCapture #BackendDevelopment #SoftwareEngineering

Видео Demo: Real-Time Cache Synchronization with Change Data Capture (CDC) PostgreSQL, Debezium, & Kafka канала Abhishek Kakade