Track · Architecture
System Design
Designing systems that scale and survive: the patterns, the trade-offs behind them, and how to reason about both clearly in a design review or an interview.
- Guides
- 4
- Sub-topics
- 4
- Diagrams
- 41
Sub-topic
Patterns & building blocks
The reusable patterns behind resilient, scalable systems.
Open sub-topic-
System Design
Distributed Systems & Backend Patterns
60+ patterns that keep production systems alive under failure, load, and scale — resilience, load management, caching, messaging, databases, distributed coordination, traffic routing, reliability, scalability, security, and observability.
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Backend
Backend Under Load: Eight Failure Modes
A system design interview field guide to how backends actually degrade — connection pool saturation, cache stampedes, lock contention, hot partitions, slow queries, network bottlenecks, and GC pauses — plus how they cascade into each other in a real incident.
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Distributed Systems
Concurrency Control in Distributed Systems
Why local locks stop working the moment you scale past one instance, and how optimistic and pessimistic concurrency control pick up the slack — with isolation levels, lock types, and working Spring/JPA code.
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Java
The Java LLD Rulebook
A complete, step-by-step guide on how to tackle Low-Level Design and machine coding interview rounds. Learn how to confidently apply Object-Oriented Design principles, leverage common design patterns, and structure scalable Java applications from scratch.