Kubernetes Causal Signal Erasure

This project investigates how cluster and region boundaries in Kubernetes systematically erase the causal signals (workload identity, trace context, and backpressure) that operators depend on to reason about distributed systems, and develops mechanisms to preserve those signals end-to-end.

Collaborator: Daniel Awodeyi