CAST AI Core Workflow: Autoscaler & Policies Overview Primary workflow for CAST AI: configure autoscaler policies to optimize cluster costs. Covers enabling spot instances, configuring the node downscaler and evictor, setting cluster CPU/memory limits, and creating node templates for workload-specific requirements. Prerequisites - Completed with Phase 2 (cluster controller + evictor) - and set - Cluster in "ready" status Instructions Step 1: Read Current Policies Step 2: Enable Cost-Optimized Autoscaling Step 3: Configure Node Templates via Terraform Step 4: Verify Autoscaler is Working Error…