This document presents an approach to automated application tuning. It discusses the challenges of manual tuning and proposes constructing a model to understand interactions and define success criteria. Key tunables are identified. The approach is illustrated through a story of improving resiliency to downstream failures by modeling service dependencies and interactions. Automation is presented as an ideal but challenges in data and assumptions are acknowledged.