Kafka in the Wild: Real-World Architectures for Food Delivery, CI/CD & AI-Powered Systems
Three full production architecture walkthroughs — a Swiggy-style food delivery platform, an enterprise CI/CD pipeline with Octopus Deploy, and a real-time AI inference broadcasting system.
Theory is useful. Production diagrams are better. In Part 1, we covered why Kafka exists and how its core building blocks — topics, partitions, offsets, and consumer groups — fit together. Now we apply all of that to three real production architectures that represent the most common Kafka use cases in modern engineering teams.
What this post covers:
Architecture 1: Hyper-local food delivery (Swiggy-style).
Architecture 2: Enterprise CI/CD deployment governance (Octopus Deploy).
Architecture 3: Real-time AI inference broadcasting. Full data flow walkthroughs for each.
Architecture 1: Hyper-Local Food Delivery at Scale (Swiggy / Zomato Pattern)
A food delivery platform is one of the most event-dense systems in existence. At peak, millions of GPS pings, order state changes, payment confirmations, and kitchen notifications all need...
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