Scalability

Design a CQRS-based backend that scales read and write workloads independently using a transactional command model and asynchronously updated read models. Covers event/CDC pipelines, projection correctness, caching, and consistency trade-offs at high scale.

Design a horizontally scalable architecture by making compute stateless, partitioning stateful stores, and decoupling workloads with queues/streams. Focuses on hot partitions, fanout, caching, and consistency trade-offs while targeting low latency and 99.99% availability.

A complete study plan for system design interviews. Covers all 23 major design case studies from URL shorteners to distributed systems, with recommended study order and capacity estimation cheat sheets.

Explore key patterns like circuit breakers, bulkheads, and saga orchestration that make distributed systems resilient and scalable.

Learn how to design a scalable URL shortening service with high availability, low latency, and analytics capabilities.

Fully managed NoSQL database service designed for high performance at any scale

Distributed NoSQL database designed for high availability, linear scalability, and handling massive amounts of data across multiple data centers

Google's Distributed Storage System for Structured Data.

Separating read and write operations for scalable and maintainable distributed systems

Understanding epidemic-style information dissemination protocols for scalable and fault-tolerant distributed systems

Scaling strategy that increases system capacity by adding more machines or instances rather than upgrading existing hardware

Key range, hash, and composite partitioning approaches

Controlling the rate of requests to protect systems from overload and ensure fair usage