Databases & Distributed Systems

How data is stored, queried, replicated, and kept consistent across machines.

Storage engines, query planners, transactions, consensus, replication, and the systems that make durable state reliable.

Start here

You should be able to explain how a relational database stores and retrieves data, and build a small storage engine from scratch.

Test your understanding — adaptive checks that estimate what you actually know, question by question.

Write path, sorted runs, compaction, and read amplification in log-structured merge-tree storage engines.

Node layout, fanout, splits, and why sorted leaves beat hashes for ranges.

Leader election, log replication, terms, and the safety argument behind majority commit.

Can write amplification be decoupled from read amplification in tiered LSM compaction?
EXPLORINGsparking: 4
What should an Africa-first operating system decide for its users?
EXPLORING

Crapht OS: strong defaults for hard conditions
Curation plus doctrine plus community, standing on Arch. Strong defaults for hard conditions: offline-capable installs, potato PCs as a primary target, power-resilient updates, a local model as the default agent, and every part open to inspection and change. Nobody writes a kernel. Full vision: docs/vision/crapht-os.md in the Crapht repo.

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