Build a Real Airline Booking System | Spring Boot Microservices, Kafka & Docker (Full Course)
This Spring Boot Microservices Project Will Make You a Senior Dev
full course : https://superprofile.bio/course/6d159...
Most Java developers build CRUD apps and call it a day. In this video, I'll show you a production-grade Airline Global Distribution System (GDS) — 11 Spring Boot microservices, Kafka event streaming, Redis caching, dual payment gateways, and a full React frontend. This is the kind of system that powers real airline booking platforms like Amadeus and Sabre.
Let's break down how it all works. 👇
📌 What This Project Is
A full-stack Airline Booking Platform built as a microservices architecture. It covers everything from airline registration, flight scheduling, and seat map management — to real-time flight search, passenger booking, Razorpay payments, and automated email confirmations.
This is not a tutorial project. This is a portfolio-grade system designed to demonstrate senior Java backend skills.
🧠 What You'll Learn From This
How to design and build 11 Spring Boot microservices with clear domain boundaries
How to build a Kafka Choreography Saga for the booking → payment → seat reservation → notification flow
How to implement multi-layer Redis caching with smart TTL strategies (2 min for fares, 6 hours for airports)
How to build a Spring Cloud API Gateway with JWT authentication, role-based routing, and circuit breaker protection
How to integrate Razorpay and Stripe with cryptographic signature verification
How to send Thymeleaf HTML emails and Twilio SMS notifications via Kafka events
How to build a React 19 + Redux Toolkit frontend with Radix UI, Framer Motion, and Recharts
How to containerize everything with Docker Compose (11 services + 9 databases + Redis + Kafka — all running locally)
How to build Docker images from Maven with Google Jib (no Dockerfile needed)
⚙️ Tech Stack
Backend
Java 17 + Spring Boot 4 + Spring Cloud 2025.1.0
Apache Kafka 4.1.1 (KRaft — no Zookeeper)
Redis 7.2 (Spring Cache + JWT Blacklist)
Spring Cloud Gateway, Eureka, Config Server
OpenFeign + Resilience4j (Circuit Breaker)
Spring Security + JWT (JJWT 0.12.6)
JPA / Hibernate + MySQL
Payments & Notifications
Razorpay Java SDK
Spring Mail + Thymeleaf (HTML emails)
Frontend
React 19.1.1 + Vite
Redux Toolkit + React Redux
Tailwind CSS 4 + Radix UI + Framer Motion
Recharts + React PDF Renderer
DevOps
Docker + Docker Compose
Google Jib (Maven Docker builds)
Spring Actuator + Eureka Dashboard
🎯 Who Should Watch This
Java developers who know Spring Boot basics and want to learn real microservices
Backend engineers preparing for interviews at product companies
Full-stack devs who want to understand enterprise-grade backend architecture
Students who've finished a Spring Boot course and are wondering "what next?"
Anyone building a travel-tech, fintech, or booking platform
📚 Key Topics Covered
Microservices architecture & domain-driven design (11 services, 9 databases)
Kafka event streaming — producers, consumers, consumer groups, event schemas
Booking Saga using Kafka choreography (no orchestrator needed)
Compensation events for failed payments (PaymentFailedEvent)
Redis caching — @Cacheable, @CacheEvict, custom key generators, TTL per cache type
JWT security — issuance, validation, token blacklisting with Redis
OpenFeign declarative clients with Resilience4j circuit breaker fallbacks
Flight search using JPA Criteria API / Specification pattern
Seat inventory management — SeatInstance with availability state machine
Razorpay order creation + HMAC-SHA256 signature verification
Stripe PaymentIntent creation + confirmation
HTML email templates with Thymeleaf (booking confirmation with full details)
PDF e-ticket generation in React (React PDF Renderer)
Docker Compose for full local environment with health checks and restart policies
Google Jib for Maven-native Docker image builds
🔥 Why This Project Matters
The airline booking industry processes billions of transactions daily. The systems behind it — GDS platforms, airline reservation systems, OTA backends — are among the most technically demanding distributed systems in the world.
Building a simplified version of this teaches you more about real-world distributed systems design than any generic microservices tutorial can. Every pattern used here — event-driven sagas, per-service databases, circuit breakers, distributed caching — is directly applicable to fintech, e-commerce, logistics, and any other domain that requires scale and reliability.
If you can explain how this system handles a booking failure while 200 other passengers are searching for the same seat, you can answer any distributed systems question in an interview.
Built with Spring Boot 4.0.2 · Spring Cloud 2025.1.0 · Apache Kafka 4.1.1 · Redis 7.2 · React 19 · Docker