Spiral: Self-tuning services via real-time machine learning

This post introduces Spiral, a system for self-tuning high-performance infrastructure services at Facebook scale using real-time machine learning. It addresses the challenge of rapidly changing codebases by replacing hand-tuned heuristics with machine learning models, allowing for optimization in minutes instead of weeks. Spiral enables engineers to define desired outcomes in code and provides a framework for continuous retraining and adaptation, exemplified by its application in automating reactive caching heuristics.