A new predictive autoscaler for Node.js on Kubernetes uses invariant cluster-wide metrics and a five-stage pipeline to forecast load and keep latency low during ramps and spikes, outperforming HPA and KEDA in benchmarks.
Configuring the Autoscaler,
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Predictive Autoscaling for Node.js on Kubernetes: Lower Latency, Right-Sized Capacity
A new predictive autoscaler for Node.js on Kubernetes uses invariant cluster-wide metrics and a five-stage pipeline to forecast load and keep latency low during ramps and spikes, outperforming HPA and KEDA in benchmarks.