Architectural essays on data systems, infrastructure, and software abstractions. These pieces focus on structural questions, design tensions, and broader shifts in the modern technical stack.
Where Data System Abstractions Break: A Semiotic Reading
Many of the most surprising performance pathologies in modern data systems are semiotic failures — structural divergences between what an interface signifies and what the underlying system does.