Kubernetes Autoscaling

Purpose

Design, implement, and optimize Kubernetes autoscaling strategies using HPA, VPA, Keda, and Cluster Autoscaler to achieve cost-efficient, responsive, and reliable workloads.

Agent Protocol

Trigger

Exact user phrases: "HPA", "VPA", "Keda", "Cluster Autoscaler", "autoscaling", "horizontal pod autoscaler", "vertical pod autoscaler", "Keda scaler", "pod scaling", "node scaling", "predictive scaling", "autoscaling strategy".

Input Context

Before activating, verify:

• Kubernetes version and available autoscaling APIs.
• Workload characteristics (stateless, stateful, batch, event-driven).
• Metric sources (Prometheus, custom metrics API, external metrics API).
• Node group configuration (instance types, min/max sizes, spot vs. on-demand).
• Cluster autoscaler version and configuration.