Section 1
Fundamentals
Core vocabulary — Regions, AZs, Primary/Replica, Sharding, Stateless vs Stateful, CAP Theorem, Consistent Hashing, Hot Keys.
Reach for it when: you want to confirm you're using terms correctly, or you're fuzzy on a foundational concept.
Section 2
Non-Functional Requirements
Scale, Latency, Availability, Consistency, Durability, Fault Tolerance, Security, Compliance, Monitoring. Includes NFR-to-architecture mapping and a quick reference table.
Reach for it when: you're starting a design and need to clarify what the system actually needs before drawing anything.
Section 4
Building Blocks
Deep reference on every component — Redis (cache, pub/sub, geo, locks), Kafka, CDN, SSE/WebSockets, geospatial, distributed coordination, CDC, payments, video streaming, and more.
Reach for it when: you know what type of component you need and want the full picture — limits, tradeoffs, real examples, when not to use it.
Section 5
Tech Selection
Decision trees for every category — SQL vs NoSQL, Kafka vs SQS vs RabbitMQ, Redis vs Memcached, ALB vs NLB, API Gateway, Object Storage, Search.
Reach for it when: you know you need a message queue (or cache, or database) but need to justify which specific technology and why.
Section 6
Capacity Estimation
Numbers to memorize, core formulas, and three fully worked examples — Twitter, YouTube, WhatsApp — showing QPS, storage, and bandwidth from first principles.
Reach for it when: you're brushing up on estimation before an interview. Work through the examples yourself without looking at the answers.
Section 7
What-If Scenarios
20 failure scenarios — Redis crashes, DB failover, traffic spike, hot keys, cache stampede, Kafka lag, CDC down, and more. Each includes cascade, peak-traffic variant, prevention, and recovery.
Reach for it when: an interviewer asks "what happens if X fails?" or "how would you handle 10× traffic?" Pick 5–6 scenarios relevant to your target role and read cold.
Section 8
Case Studies
End-to-end designs showing how building blocks compose into real systems. Each study identifies the NFRs, picks the right components, and walks through the tradeoffs.
Reach for it when: you want to see the pieces fit together for a specific problem. Read it, then try to reproduce the design from memory.
Section 9
Kafka Study Guide
Deep dive on Kafka internals — Topics & Partitions, Producer Partitioning, Consumer Groups & Assignment, Replication & Durability, Offset Management, Compacted Topics & CDC, Exactly-Once Semantics, and system design patterns with hot key solutions across 7 real systems.
Reach for it when: Kafka comes up in an interview or design — covers every layer from producer config to partition math, with Java code for every pattern.