System Design for AI Day 3: a visual guide to core building blocks and scaling tradeoffs
Roger_M_Taylor · x · 2026-10-21
Day 3 of the 'System Design for AI' series maps out AI system building blocks: API gateway, load balancer, inference service, model store, vector DB, cache, queue and monitoring, plus request flow.
- Compares stateless vs stateful, sync vs async, horizontal vs vertical scaling, and build vs buy tradeoffs
- Includes a toolkit list: Kubernetes, Nginx, Redis, Kafka, Prometheus, Grafana
- The prior Day 2 issue covered requirements clarification, back-of-envelope capacity estimation, SLO/SLA and cost framing
More from coding & agent
- Solo dev runs 6,000+ unattended news episodes in 19 months — eval loops, not models — jwdNyc · 2026-10-21
- Free AI Search course covers Late Interaction, MUVERA scaling and Wormhole vectors — CShorten30 · 2026-10-21
- Reddit idea: a skills-equipped desktop client for ChinaAPI/SiliconFlow with 10-50% margins — Struggle_Wise · 2026-10-21
- Jac team rewrites compiler errors to link language docs, helping coding agents fix bugs — JaseciLabs · 2026-10-21
- NVIDIA's NOOA paper: agents as plain Python objects, combining six model-facing ideas in one surface — omarsar0 · 2026-10-21
- Google's OO-Harness uses object-oriented design for self-evolving agents, lifting AutomationBench from 61.6% to 77.4% — dair_ai · 2026-10-21