Knowledge Base

Required reading and references I rely on for system optimization, architecture, and practical engineering decisions.

Clean Code

The practical guide I return to for discipline and patterns that make code readable, testable, and maintainable.

Designing Data-Intensive Applications

A foundational book on the principles and tradeoffs of building scalable, reliable data systems which is essential for designing real-world distributed applications.

KERNEL_OPS

Modern Operating Systems

By Andrew S. Tanenbaum

A comprehensive textbook covering OS concepts and design (that I used in my undergrad os course). Useful when reasoning about scheduling, memory, and system interactions.

KERNEL_OPS

Operating Systems: Three Easy Pieces

By Remzi & Andrea Arpaci-Dusseau

A clear, accessible exploration of virtualization, concurrency, and file systems that shaped my understanding even further of low-level systems behavior.

DATABASE_SYS

Database Internals

By Alex Petrov

An in-depth look at how databases function under the hood, from storage engines to replication and distributed consensus.

NEXT_UP

TCP/IP Illustrated, Vol. 1

By W. Richard Stevens

A visual and protocol-level guide to the core networking stacks that power the internet. This is a great reference for systems and network debugging. Excited to dive deep into network computing!