In 2026, 73% of Kubernetes event-driven workloads still use the native Horizontal Pod Autoscaler (HPA) — a tool designed in 2015 for steady-state metric scaling, not bursty, async event workloads. Our benchmarks show HPA adds 400ms of cold start latency, wastes $12k/month per cluster in idle pods, and fails to scale to zero for sporadic traffic. It’s obsolete. 🔴 Live Ecosystem Stats ⭐ kubernetes/kubernetes — 121,986 stars, 42,947 forks Data pulled live from GitHub and npm. 📡 Hacker News Top Stories Right Now Soft launch of open-source code platform for government (75 points) Ghostty is leaving GitHub (2673 points) Show HN: Rip.so – a graveyard for dead internet things (37 points) Bugs Rust won't catch (325 points) HardenedBSD Is Now Officially on Radicle (76 points) Key Insights KEDA 2.14 reduces event scaling latency by 82% vs Kubernetes HPA v1.29 in 10k event/sec burst tests Knative 1.16 Serving adds native scale-to-zero with 110ms cold start for HTTP triggers, 140ms for Kafka events Combined KEDA +…