Predictive Autoscaling for Kubernetes-based Projects

This page summarizes the projects mentioned and recommended in the original post on /r/Cloud
Kubernetes Serverless Autoscaling event-driven keda

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  • keda

    KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

    • With PredictKube Scaler, you’ll be able to predict the load rises or drops in your projects and use resources more efficiently without overprovisioning. Our AI model will need at least 2 weeks of historical data to provide you with reliable prediction and autoscaling. PredictKube has an open-source agent and it submitted to the official repo KEDA: https://github.com/kedacore/keda/pull/2418

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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