Cloud FunctionsThe NVCF Function Autoscaler is a distributed Rust service that monitors function utilization and uses it to determine the ideal instance count per function on the NVCF control plane. It runs as a horizontally scaled deployment on the same Kubernetes cluster as the rest of the control plane.
On an interval, the function autoscaler reads metrics from the timeseries database, decides how many instances each function should have, and calls the NVCF API to apply that decision.
The function autoscaler depends on a Prometheus-compatible timeseries database fed by the worker pods and invocation-plane services. Without it, the service reports not ready and makes no scaling decisions. See Timeseries database for the required metrics and endpoints.
Function autoscaling is distinct from Kubernetes horizontal pod autoscaling (HPA). HPA scales pods within a single cluster, so it cannot reach NVCF worker pods that are spread across multiple clusters. Function autoscaling orchestrates scaling across clusters using global load patterns.
See Architecture for the end-to-end sequence diagram and the bucket model.
