Smart ScalerSlash cloud costs by 20-70% using Generative AI for predictive autoscaling in Kubernetes
Smart Scaler, powered by Generative AI, accurately predicts demand in advance, thus precisely autoscaling infrastructure and application resources.
Extracts performance data from Prometheus
Pod capacity estimator predicts number of pods needed for a given load.
Traffic pattern predictor predicts traffic based on learned patterns
Reinforcement Learning Engine accurately estimates K8s resources
Avesha Reinforcement Learning Model - Results
Hyperscalar Autoscaling Performance - Results
Companies are raking up huge costs due to lack of predictive capabilities in current autoscaling solutions. Smart Scaler is the only “intelligent” HPA (Horizontal Pod Autoscaling) Solution in the market
Reduces cloud costs
Reduces carbon footprint
Eliminates Over Provisioning
Uses AI and Reinforcement Learning
Multi-cluster and Multi Cloud “Intelligent” HPA
Setting up Smart Scaler RL autoscaling to reduce Kubernetes cloud costs.
Principal Analyst at Intellyx
Avesha KubeSlice consists of other products that enable automation, easy interconnectivity across a wide area network, and adaptive & autonomous configuration of the network based on the application's needs.