</> MAANG.io
system design · 201

Intermediate

Master system design interviews with scalable architecture patterns, distributed systems, and real-world design challenges.

0/124 solved 0% complete

RocksDB

maang.io System Design Series


RocksDB is an embeddable, high-performance LSM-tree key-value store (a LevelDB fork) that shows up as the storage engine inside other systems — Kafka Streams, Flink state, MyRocks, CockroachDB. Master its write path (memtable → WAL → SSTables), leveled compaction, and the write/read/space-amplification trade-offs, and you understand the engine under half the modern data infrastructure.

This deep dive comes in three parts:

  • Foundations & Core Concepts — the LSM model, column families, and where RocksDB is embedded.
  • Internals — compaction strategies, bloom filters, block cache, and amplification tuning, with worked numbers.
  • Interview — Staff/Principal Q&A: LSM vs B-tree and tuning for a workload.

Sign in to MAANG.io

Use your Google or Microsoft account — no password to remember.

Continue with Google Continue with Microsoft

Please accept the terms above to continue.