Bookshelf

Books on my shelf

The technical books I keep coming back to — the foundations of databases, distributed systems, concurrency, and the algorithms behind data at scale.

Designing Data-Intensive Applications cover Distributed Data

Designing Data-Intensive Applications

Martin Kleppmann

The bible of modern data systems — replication, partitioning, consistency, and the trade-offs behind every storage engine.

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Database Internals cover Databases

Database Internals

Alex Petrov

A deep dive into how databases work under the hood — storage engines, B-trees, LSM-trees, and distributed coordination.

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Rust Atomics and Locks cover Concurrency

Rust Atomics and Locks

Mara Bos

Low-level concurrency in Rust — memory ordering, atomics, and building your own locks from scratch.

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Algorithms and Data Structures for Massive Datasets cover Algorithms

Algorithms and Data Structures for Massive Datasets

Medjedović, Tahirović

Probabilistic structures and streaming algorithms — Bloom filters, sketches, and sampling for data that does not fit in memory.

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Understanding Distributed Systems cover Distributed Systems

Understanding Distributed Systems

Roberto Vitillo

A practical tour of large-scale systems — communication, coordination, scalability, and resiliency woven into one story.

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Always reading something.

Notes and write-ups from what I read live on my blog and papershelf.

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