System Design

Complete guide to consistency models covering strong consistency, eventual consistency, CAP theorem, linearizability, and trade-offs in distributed systems.

Complete guide to database resiliency covering replication (master-slave, multi-master), backup strategies, and disaster recovery for system design interviews.

Complete guide to system availability covering uptime calculations, SLA requirements, five nines availability, redundancy strategies, and high availability architecture.

Complete guide to failure models covering crash failures, omission failures, Byzantine failures, network partitions, and fallacies of distributed systems.

Complete guide to database scalability covering sharding strategies, partitioning, consistent hashing, and horizontal vs vertical scaling for system design.

Complete guide to approximate calculations covering capacity estimation, bandwidth calculations, QPS estimation, storage planning, and latency numbers every engineer should know.

Complete guide to system reliability covering MTBF (Mean Time Between Failures), MTTR (Mean Time To Recovery), fault tolerance, and building dependable distributed systems.

Introduction to system design fundamentals covering core concepts, design principles, thinking patterns, and the philosophy behind building large-scale systems.

Complete guide to understanding DNS (Domain Name System), how it works as the internet’s phonebook, DNS architecture, and resource record types for system design interviews.

Complete guide to scalability covering horizontal and vertical scaling strategies, stateless architecture, caching, database sharding, and handling massive traffic.