Headquarters
Seattle, WAFounded
2021Employees
10000+Funding
PublicProducts
1 product listedAvg. AI Score
8.2/10Website
karpenter.sh/Profile updated
Karpenter is an open-source Kubernetes node autoscaler originally built at Amazon Web Services and announced in 2021. The project automatically launches and terminates compute capacity based on unscheduled pods, supporting cost optimization and performance tuning for Kubernetes clusters.
Karpenter graduated to general availability as part of Amazon EKS in 2022, and AWS contributed the vendor-neutral core to the Cloud Native Computing Foundation (CNCF) through Kubernetes SIG Autoscaling in 2023.
Karpenter is not a separate company; it is an open-source project stewarded primarily by Amazon Web Services and maintained by the Kubernetes community under Apache 2.0.
All products by Karpenter reviewed by our AI panel of experts.
Who Karpenter competes with, and how they differ.
The original Kubernetes-native autoscaler maintained by SIG-Autoscaling; scales existing node groups/ASGs rather than provisioning nodes directly, making it slower and less flexible in instance-type selection than Karpenter's just-in-time provisioning model.
Focuses on observability and visualization rather than compute provisioning; commonly deployed alongside Karpenter to monitor cluster and node-scaling behavior rather than compete directly for the same workload.
1 product reviewed on TopReviewedTerraform provides declarative infrastructure provisioning across clouds on a broader IaC layer, whereas Karpenter operates specifically at the Kubernetes node-autoscaling layer with real-time, workload-driven decisions rather than static infra definitions.
1 product reviewed on TopReviewedHarness is a commercial CI/CD and DevOps platform with paid tiers targeting enterprise delivery pipelines, contrasting with Karpenter's open-source, CNCF-governed focus purely on node autoscaling.
1 product reviewed on TopReviewedAWS-native compute scaling services that operate at the EC2 instance or serverless container level; unlike Karpenter, they are not Kubernetes-aware and lack pod-level bin-packing optimization for node selection.
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