Chapter 3 — AI Observability

System Design

Principal/Staff-level system design reference collection for MAANG interview preparation — observability pipelines, distributed systems, reliability engineering, and beyond.

Chapter 2 — AI Infrastructure

GPU scheduling, inference serving, and model-serving architecture as the infrastructure layer underneath every AI product design.

Chapter 1 — Designing AI Systems: RAG & Vector Databases

Retrieval-augmented generation, vector databases, embeddings, and agent architectures as the components of an LLM-backed system design.

Chapter 4 — Alerting Systems

Multi-window burn-rate alerts, recording rules, routing, and deduplication as the difference between an actionable page and noise.

Chapter 3 — Monitoring at Scale

Prometheus, Mimir, Cortex, and Thanos as the horizontally-scaled answer to a single Prometheus instance running out of room.