Spite-Driven Engineering: A New Blueprint for Cloud Security in the AI Native Era
Cloud security AI native development Linux kernel security Multi Tenant infrastructure GPU computing Container security LLM engineering System architecture Spite Driven engineering AI infrastructure
In this InfoQ interview, Alex Zenla discusses "spite-driven engineering" as a philosophy for building solutions to real technical problems rather than accepting flawed abstractions. She covers security vulnerabilities in multi-tenant Linux kernels, the challenges of using consumer GPUs for AI workloads, and presents a framework for treating LLMs as symbiotic deep learning assistants. Targeted at senior engineers, architects, and technical leaders interested in cloud security and AI infrastructure.
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