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We’ve built a working application—now it’s time to design a scalable system. 🧠 In Day 58, we hit the pause button on coding to tackle a massive architectural shift: introducing Apache Kafka to our Flight Booking Engine. Up until now, our FastAPI backend has handled tasks with simple background processes. But what happens when 1,000 users book flights at the exact same second? 📉 💡 In this System Design session: Async: Why direct API calls fail at scale. The Message Broker: Understanding Producers, Consumers, and Topics. Event-Driven Architecture: How to decouple our Booking, Payment, and Notification services. Why Kafka? Why we chose Kafka over RabbitMQ or simple DB queues for this project. This session lays the theoretical foundation. In the next stream (Day 59), we will configure this in Docker and start writing code. Today, we learn how it works. 📘 Watch the full playlist: 👉 https://www.youtube.com/playlist?list=PLdtwawCR2QjmdfhM-7SzDOVGop373bbgW 📂 GitHub Repo : 👉 https://github.com/KNehe/aero_bound_ventures-public.git 🔥 Subscribe for real fullstack engineering—from code to architecture. #FastAPI #ApacheKafka #SystemDesign #EventDriven
