Audience
Companies searching for an AI-based predictive autoscaler solution for Kubernetes to automate their process performance
About PredictKube
Make your Kubernetes autoscaling proactivе. From reactive scaling to proactive, with PredictKube, you’ll be able to finish autoscaling before the load rise thanks to predictions made by our AI model. Our AI model can start working with the data for 2 weeks to provide you with reliable prediction and autoscaling. The predictive Keda scaler named PredictKube helps you to minimize time-wasting on manual setup of autoscaling and gives you an automated performance. We made our KEDA scaler out of the top-notch technologies available for Kubernetes and AI. Input the data for 1+ week and get proactive autoscaling up to 6 hours horizon based on AI prediction. The right time for scaling is selected by our trained AI model that analyzes your historical data and can utilize the data of custom and public business metrics that can affect the traffic load. We’ll support free access to API in general with all basic features available to provide autoscaling possibilities.
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Telepresence
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Why Telepresence:
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Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging.
Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.
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Company Information
PredictKube
United States
predictkube.com
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