How Karpenter's groupless, pod-driven provisioning model solves the scaling limitations that plagued Kubernetes Cluster Autoscaler for years.

A hands-on walkthrough of installing Karpenter on EKS, configuring NodePools and EC2NodeClasses, and hardening the setup for production workloads.

How Karpenter automatically replaces drifted nodes, consolidates underutilized capacity, and respects disruption budgets to keep clusters lean and current.

Dedicated GPU NodePools, cold start fixes for 10GB+ AI images, disruption protection for training jobs, and gang scheduling for distributed workloads.

Spot-to-Spot consolidation, instance diversification, right-sizing pod requests, and the real-world strategies that cut Kubernetes compute costs by 20-40%.

Setting up Prometheus metrics scraping, building Grafana dashboards for node lifecycle events, and diagnosing common Karpenter issues in production.