@hackproduct9: Most engineers know ChatGPT works. Very few can explain how it works at scale. Here's the full system design in one map. Six layers. Every one of them matters. Requirements & Capacity — 75K messages per second. 1.5TB of DB writes daily. You can't wing those numbers. You estimate them before you write a single line of code. Application Layer — your LLM doesn't talk directly to the internet. It sits behind an API gateway, a load balancer, and a set of microservices that handle auth, storage, moderation, and real-time streaming separately. Each one fails independently. That's the point. Communication Patterns — SSE for token streaming, gRPC for internal service calls, REST for the public API. Three protocols, three jobs. Mixing them up is how you get a slow, brittle system. Database Design — PostgreSQL for structure, Redis for speed, blob storage for the long tail. Schema matters: Users, Conversations, Messages. That's the whole data model, right there. Auth & Security — JWT tokens, OAuth2, RBAC, WAF, CORS, SQL injection guards. Not optional. AI products are high-value targets. Infrastructure & Cost — the GPU cluster is the biggest line item. Multi-region deployment is the one that keeps you awake at 2am. Next time an AI generates a "scalable chat architecture" for you — run it against this map. See what it skipped. What layer do you think gets underestimated most in real builds? #HackProduct #systemdesign #codevisuals #coding #softwareengineering

HackProduct

Open In TikTok:

Region: US

Monday 29 June 2026 23:39:07 GMT