Providing efficient Functions as a Service (FaaS) is challenging due to the serverless programming model and highly heterogeneous and dynamic workloads. Great strides have been made in optimizing FaaS performance through scheduling, caching, virtualization, and other resource management techniques. The combination of these advances and growing FaaS workloads have pushed the performance bottleneck into the control plane itself. Current FaaS control planes like OpenWhisk introduce 100s of milliseconds of latency overhead, and are becoming unsuitable for high performance FaaS research and deployments.