Playbook / Cloud architecture
Cloud architecture
AI infra cloud, network, security
| # | Title | |
|---|---|---|
| 01 | Design a GPU capacity-planning and procurement system | Study → |
| 02 | Design a multi-region strategy for training vs. serving | Study → |
| 03 | Design disaster recovery for a model-serving platform | Study → |
| 04 | Design the network architecture for distributed training | Study → |
| 05 | Design the security and compliance architecture for an AI system | Study → |
| 06 | Design container orchestration and cost optimization for AI workloads | Study → |
| 07 | Design an enterprise LLM gateway with semantic cache — gateway vs sidecar; cache-in-process vs cache-as-service | Study → |
| 08 | Design a foundation-model pretraining cluster | Study → |
| 09 | Design an enterprise AI landing zone | Study → |
| 10 | Design GenAI FinOps, chargeback, and quotas | Study → |
| 11 | Design private connectivity and egress control for AI | Study → |
11 of 11 · total playbook 138