terraform
karpenter
Our great sponsors
terraform | karpenter | |
---|---|---|
1 | 42 | |
3 | 4,866 | |
- | 4.7% | |
10.0 | 0.0 | |
5 months ago | 5 days ago | |
HCL | Go | |
MIT License | 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.
terraform
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Time-Slicing GPUs with Karpenter
tarrantrom
karpenter
- 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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Workload Operator. What do you think?
Also https://github.com/aws/karpenter/issues/331
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How to automate gitlab runner autoscaling on ec2 instances
We use the Kubernetes runner and Karpenter.
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How to Deploy and Scale Strapi on a Kubernetes Cluster 2/2
Karpenter, is a cluster autoscaling solution that, for the moment, only works with AWS infrastructure, but helps you increase the number of nodes automatically depending on your Pods requirements.
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Why can't I run Karpenter on a node that is managed by Karpenter?
I have a few EKS clusters that are running cluster-autoscaler, and I'd like to replace it with Karpenter. When reading through the documentation this stood out to me:
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Is fargate the right choice for my apps?
Karpenter: since we are talking about EKS maybe this kind of autoscaling is worth your time.
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Time-Slicing GPUs with Karpenter
Karpenter
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Run event-driven workflows with Amazon EKS Blueprints, Keda and Karpenter
This post demonstrates a proof-of-concept implementation that uses Kubernetes to execute code in response to an event here is API request. The workflow is powered by Keda (Kubernetes Event-driven Autoscaling) which scales out the kubernetes pods bases on incoming events such as SQS messages. After keda scaleout pods which are in pending state, Karpenter (Just-in-time Nodes for Any Kubernetes Cluster) bases on provisioners to decide scaleout more nodes
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Karpenter, an awesome autoscaling technology for EKS cluster
Here is the GitHub repo of the tool, and I wrote an article about it if you're interested.
What are some alternatives?
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
autoscaler - Autoscaling components for Kubernetes
bedrock - Automation for Production Kubernetes Clusters with a GitOps Workflow
karpenterwebsite
dapr - Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
camel-k - Apache Camel K is a lightweight integration platform, born on Kubernetes, with serverless superpowers
karpenterREADME.md
fast_check_once - Fast One Time Predicate Checker
kured - Kubernetes Reboot Daemon
openrasp - 🔥Open source RASP solution
arduino-cli - Arduino command line tool
buildpacks-jvm - Heroku's official Cloud Native Buildpacks for the JVM ecosystem.