Cost-Aware Kubernetes Cluster Autoscaling With CAST AI

Cost-Aware Kubernetes Cluster Autoscaling With CAST AI

Source: YouTube · DevOps & AI Toolkit · published Mar 7, 2022 · 21:32

Cloud Security
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Description

Cast AI is a third-party solution that provides cost-aware Kubernetes cluster autoscaling, addressing the limitation that built-in cloud provider autoscalers don't optimize for cost-effectiveness when scaling clusters 1:14 2:06.

Key Takeaways:
• Cast AI connects to existing Kubernetes clusters across AWS, GCP, and Azure to optimize scaling based on both workload needs and cost efficiency 3:15
• It offers configuration options including cost-efficient vs. least-interrupted scaling, spot instance fallback, and automatic removal of underutilized nodes 5:01 6:56
• Applications can be configured to run on spot instances using Kubernetes node selectors and tolerations, with Cast AI automatically handling the mix of spot and on-demand instances 11:19
• Unlike traditional autoscalers that often create oversized or undersized nodes, Cast AI creates precisely sized nodes to accommodate the exact workload requirements 13:00
• The tool includes rebalancing capabilities to redistribute pods across nodes, potentially resulting in empty nodes that can be removed to reduce costs 17:21

Cast AI provides a simpler, more efficient alternative to tools like AWS Carpenter, with the added advantage of working across multiple cloud providers 15:00.

Sources:

  • 1:14 Explanation that built-in cloud autoscalers aren't cost-aware
  • 2:06 Introduction to Cast AI as a solution for cost-aware scaling
  • 3:15(h

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when working with clouds one of the first things you discover is how to create servers and from there on you discover how to create clusters like kks cluster or gk cluster or aks cluster and from there on you progress to auto scaling you learn how to scale the nodes of your clusters so they can manage the workload in an optimum way at one moment you might need more servers and then at another you might need less so your cluster is expanding and contracting and when using kubernetes we do that through cluster auto scalers [Music] if we're using eks or aks or gk cluster you're likely using the auto scaler that is baked in with the exception of eks which i believe still does not come with the cluster auto scale and unless you use fargate but that would be a different story those cluster auto …