Kubernetes 1.37 HPA Scale-to-Zero Beta vs KEDA and Knative
Kubernetes 1.37 moves HPA scale-to-zero to beta. How it works, its limits, and when KEDA or Knative still win for event-driven workloads.
Kubernetes 1.37: Stable Metrics API and Rootless Kubelet in Beta
Kubernetes 1.37 Garhwal graduates the Metrics API to stable and moves the rootless kubelet to beta. What changes for autoscaling, security, and upgrades.
Karpenter vs Cluster Autoscaler for GPU Nodes: 2026 Cost Guide
Karpenter vs Cluster Autoscaler for GPU node scaling in 2026: bin-packing, spot, cold-start, consolidation and the real cost difference for ML clusters.
KEDA Event-Driven Autoscaling on Kubernetes: Architecture (2026)
KEDA event-driven autoscaling explained: how the scaler, metrics adapter and controller drive HPA from queue depth and event sources - scale-to-zero, cold starts, 60+ scalers and production tuning on Kubernetes in 2026.
Kubernetes In-Place Pod Resize: Rightsizing Without Restarts (2026)
Kubernetes in-place pod resize (v1.33 GA) changes CPU/memory without restarts. How it works, VPA integration, resize policies, cost impact, and production gotchas.
Karpenter Node Autoscaling for Kubernetes: Production Deep Dive
How Karpenter replaces cluster-autoscaler in production — NodePool design, consolidation, disruption budgets, spot-on-demand mixing, and real-world cost savings (2026).