NimbusGuard applies deep reinforcement learning with LSTM forecasting to deliver proactive Kubernetes autoscaling that outperforms reactive controllers like HPA and KEDA on performance and cost.
An experimental evaluation of the kubernetes cluster autoscaler in the cloud,
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NimbusGuard: A Novel Framework for Proactive Kubernetes Autoscaling Using Deep Q-Networks
NimbusGuard applies deep reinforcement learning with LSTM forecasting to deliver proactive Kubernetes autoscaling that outperforms reactive controllers like HPA and KEDA on performance and cost.