The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better karpenter-provider-aws alternative or higher similarity.
karpenter-provider-aws reviews and mentions
Posts with mentions or reviews of karpenter-provider-aws.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-02.
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Stress testing Karpenter with EKS and Qovery
If you’re not familiar with Karpenter — watch my quick intro. But in a nutshell, Karpenter is a better node autoscaler for Kubernetes (say goodbye to wasted compute resources). It is open-source and built by the AWS team. Qovery is an Internal Developer Platform I’m a co-founder) that we’ll use to spin up our EKS cluster with Karpenter.
- Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling
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Five tools to add to your K8s cluster
Karpenter
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Architecting for Resilience: Crafting Opinionated EKS Clusters with Karpenter & Cilium Cluster Mesh — Part 1
Here are a few reference links about the previous services and tools: What is Amazon EKS? Cluster Mesh 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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Help required
Kubernetes has its own learning curve, but when tools like Karpenter exist it's kinda hard to beat for "auto-scaled compute" that is vendor agnostic. We leverage Karpenter for burst in our vSphere environment as well as our EC2 environment. Karpenter is invoking roughly the same Terraform code in both cases, just using different modules for the particular virtualization. Say we want to go to Azure and GCP -- we add an Azure and GCP module to the same Terraform codebase, and not much else needs to change from the "scale up / scale down" perspective.
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Workload Operator. What do you think?
Also https://github.com/aws/karpenter/issues/331
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Running Airflow task intensive Dags on Fargate.
Why don't you stick to the KubernetesPodOperator though? I fail to see a benefit in using the ECS operator considering you're already running Airflow in EKS. You can look into something like karpenter to manage your nodes.
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How to automate gitlab runner autoscaling on ec2 instances
We use the Kubernetes runner and Karpenter.
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Stats
Basic karpenter-provider-aws repo stats
46
5,854
9.9
5 days ago
aws/karpenter-provider-aws is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of karpenter-provider-aws is Go.
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