draino
autoscaler
| draino | autoscaler | |
|---|---|---|
| 1 | 89 | |
| 28 | 7,680 | |
| - | 1.4% | |
| 10.0 | 9.7 | |
| 9 months ago | 5 days ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
draino
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Examples of how to automatically handle EKS managed node upgrade?
For those running regular cluster autoscaler it seems there is ideas to be found in this issue https://github.com/kubernetes/autoscaler/issues/4754. Which basically point to two projects that might give some inspiration or could be just plug and play https://github.com/DataDog/draino and https://github.com/XenitAB/node-ttl.
autoscaler
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Upgrading Hundreds of Kubernetes Clusters
We use Cluster Autoscaler to automatically adjust the number of nodes (cluster size) based on your actual usage to ensure efficiency. Additionally, we deploy Vertical and Horizontal Pod Autoscalers to scale your applications' resources as their needs change automatically.
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Not Everything Is Google's Fault (Just Most Things)
> * Hetzner: cheap, good service, the finest pets in the world, no cattle
You can absolutely do cattle with Hetzner. They support imaging and immutable infrastructure. They don't have a native auto scaling equivalent, but if you're using Kubernetes, they have a cluster autoscaler: https://github.com/kubernetes/autoscaler/blob/master/cluster...
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Kubernetes(K8s) Autoscaler — a detailed look at the design and implementation of VPA
Here we take the VPA as a starting point to analyze the design and implementation principles of the VPA in Autoscaler. The source code for this article is based on Autoscaler HEAD fbe25e1.
- Scaling with Karpenter and Empty Pod(A.k.a Overprovisioning)
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Reducing Cloud Costs on Kubernetes Dev Envs
Autoscaling over EKS can be accomplished using either the cluster-autoscaler project or Karpenter. If you want to use Spot instances, consider using Karpenter, as it has better integrations with AWS for optimizing spot pricing and availability, minimizing interruptions, and falling back to on-demand nodes if no spot instances are available.
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☸️ Managed Kubernetes : Our dev is on AWS, our prod is on OVH
Autoscaling is already provided on OVH, but we don't use it for now. Autoscaler has to be manually installed on the AWS/EKS cluster.
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relevant way of scaling pods
do you mean this: https://github.com/kubernetes/autoscaler/blob/master/vertical-pod-autoscaler/pkg/recommender/README.md
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Kubernetes Cluster Maintenance
Read more about this scaler in detail here!
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Anyone running Windows nodes in your clusters?
We have a default node group of Linux hosts, but there's a secondary nodegroup of Windows hosts that is typically scaled down to 0. When a team's build runs, a pod is scheduled based on their definition. Cluster-autoscaler will check the nodeSelector and automatically spin up a node from that nodegroup if necessary.
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How to make sure Kubernetes autoscaler not deleting the nodes which runs specific pod
I am running a Kubernetes cluster(AWS EKS one) with Autoscaler pod So that Cluster will autoscale according to the resource request within the cluster.
What are some alternatives?
node-ttl - Enforces a time to live (TTL) on Kubernetes nodes and evicts nodes which have expired.
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
kured - Kubernetes Reboot Daemon
cluster-proportional-autoscaler - Kubernetes Cluster Proportional Autoscaler Container
aws-ebs-csi-driver - CSI driver for Amazon EBS https://aws.amazon.com/ebs/
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
descheduler - Descheduler for Kubernetes
k3s-aws-terraform-cluster - Deploy an high available K3s cluster on Amazon AWS
aws-node-termination-handler - Gracefully handle EC2 instance shutdown within Kubernetes
microk8s - MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
kops - Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management