cluster-proportional-autoscaler VS Overprovisioner

Compare cluster-proportional-autoscaler vs Overprovisioner and see what are their differences.

cluster-proportional-autoscaler

Kubernetes Cluster Proportional Autoscaler Container (by kubernetes-sigs)
k8s-sig-network
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Overprovisioner

By avedpathak
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cluster-proportional-autoscaler Overprovisioner
3 1
589 -
0.8% -
5.8 -
16 days ago -
Go
Apache License 2.0 -
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cluster-proportional-autoscaler

Posts with mentions or reviews of cluster-proportional-autoscaler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-06.
  • Practical Introduction to Kubernetes Autoscaling Tools with Linode Kubernetes Engine
    9 projects | dev.to | 6 Mar 2022
    The Cluster Proportional Autoscaler (CPA) is a horizontal pod autoscaler that scales replicas based on the number of nodes in the cluster. Unlike other autoscalers, it does not rely on the Metrics API and does not require the Metrics Server. Additionally, unlike other autoscalers we saw, a CPA is not scaled with a Kubernetes resource but instead uses flags to identify target workloads and a ConfigMap for scaling configuration. The following diagram illustrates the components of the CPA:
  • K8s ephemeral application environments
    2 projects | /r/devops | 17 Feb 2022
    Namespacing each environment would give you isolation, depending on how your service discovery works within the environment. You could consider the horizontal proportional autoscaler (or maybe KEDA) and hook it up to a metric for the queue depth. https://github.com/kubernetes-sigs/cluster-proportional-autoscaler
  • Kubernetes Cluster Over-Provisioning: Proactive App Scaling
    3 projects | dev.to | 2 Nov 2020
    If we want to configure dynamic overprovisioning of a cluster (e.g. 20% of resources in the cluster) then we need to use Horizontal Cluster Proportional Autoscaler.

Overprovisioner

Posts with mentions or reviews of Overprovisioner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-11-02.
  • Kubernetes Cluster Over-Provisioning: Proactive App Scaling
    3 projects | dev.to | 2 Nov 2020
    The helm chart uses the following configuration to overscale the cluster. 1 replica of placeholder-pod per node (with 2 core CPU and 2 Gi of memory request). For example, if the Kubernetes cluster is running with 15 nodes then 15 replicas of placeholder-pod will be there in the cluster.

What are some alternatives?

When comparing cluster-proportional-autoscaler and Overprovisioner you can also consider the following projects:

autoscaler - Autoscaling components for Kubernetes

k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus

metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.

vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.

dotnet-pressure-api - An API that can apply memory and CPU pressure to test autoscaling rules in Kubernetes

k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!

cluster-api - Home for Cluster API, a subproject of sig-cluster-lifecycle

cluster-proportional-autoscaler vs autoscaler Overprovisioner vs autoscaler cluster-proportional-autoscaler vs k8s-prometheus-adapter cluster-proportional-autoscaler vs metrics-server cluster-proportional-autoscaler vs vcluster cluster-proportional-autoscaler vs dotnet-pressure-api cluster-proportional-autoscaler vs k9s cluster-proportional-autoscaler vs cluster-api