Kubernetes Capacity and Resource Management: It's Not What You Think It Is

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • autoscaler

    Autoscaling components for Kubernetes

    One way Kubernetes allows to automate this process is via VerticalPodAutoscalers (VPA). VPAs, in its default mode, provide you with recommendations on how to set your resources. Those recommendations are based on historical usage, as found in the metrics server. You should configure VPA to use Prometheus as the metrics storage — otherwise VPA relies only on real-time metrics.

  • keda

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

    I am oversimplifying here a lot, of course. The focus of this article is primarily on CPU and RAM, but you can configure HPA to scale your pods based on any custom metrics. There are also projects like KEDA that introduce even-driven auto-scaling for the pods.

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  • karpenter

    Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

    There are tools that you can deploy on your cluster to simplify this process a bit. One of them, Karpenter, aims to automate provisioning the right nodes depending on your pod needs. This way, you just trust Karpeneter to create a node that can fit a pod requesting 10Gb of RAM if such node appears in the cluster. It’s similar to how Google Cloud GKE Autopilot is working, to which we will come back at the end of the article.

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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