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Affordable exam-prep software for Indian students — notes, adaptive practice, timed mocks, and daily current affairs in one study desk.

Operated by Anirudh Vaka, Hyderabad, Telangana, India.

PrepAtlas

Charting your lesson…

Fundamentals — System Design Basics, Placements — DSA & Coding · PrepAtlas

Fundamentals

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Sub-topics in this chapter

Scalability & Load Balancing

How systems grow with load — vertical vs horizontal scaling — and how load balancers spread traffic across servers.

Caching

Storing frequently used data in fast storage to cut latency and load — cache strategies, eviction, and invalidation.

SQL vs NoSQL Databases

Choosing between relational (SQL) and non-relational (NoSQL) databases based on schema, consistency, and scale needs.

Sharding & Replication

Splitting data across nodes (sharding) for scale and copying it (replication) for availability and read throughput.

CAP Theorem

In a network partition a distributed store must choose between consistency and availability — the CAP trade-off.

Consistent Hashing

A hashing scheme that minimizes key remapping when nodes are added or removed — key to distributed caches and shards.