In Kubernetes 1.32, the Horizontal Pod Autoscaler (HPA) processes over 12 million metric queries per second in large-scale clusters, yet 68% of engineering teams misconfigure its integration with Prometheus 2.50, leading to over-provisioning costs averaging $42k per year. 🔴 Live Ecosystem Stats ⭐ kubernetes/kubernetes — 122,001 stars, 42,955 forks Data pulled live from GitHub and npm. 📡 Hacker News Top Stories Right Now The Whistleblower Who Uncovered the NSA's 'Big Brother Machine' (124 points) Shai-Hulud Themed Malware Found in the PyTorch Lightning AI Training Library (118 points) Belgium stops decommissioning nuclear power plants (571 points) I built a Game Boy emulator in F# (38 points) Claude Code refuses requests or charges extra if your commits mention "OpenClaw" (423 points) Key Insights Kubernetes 1.32 HPA reduces metric polling latency by 37% compared to 1.31 when using Prometheus 2.50 as a metrics source Prometheus 2.50's remote write improvements cut metric staleness errors by 62% for HPA…