The shift from traditional cluster autoscaling to Karpenter yielded significant improvements in efficiency and cost for Kubernetes workloads. The original cluster autoscaler resulted in idle nodes, leading to budget overruns and latency during scaling. By adopting Karpenter, compute costs were reduced by 70%, and pod scheduling latency decreased from 3 minutes to 20 seconds. A multi-architecture EKS cluster supporting both AMD64 and ARM64 was established, underpinned by a complete Terraform and CI/CD pipeline, facilitating streamlined operations and cost savings.
Karpenter differentiates itself by not using fixed node groups; it analyzes pending pods to find the cheapest spot instance that meets their requirements.
After implementing Karpenter, node provisioning times decreased substantially, from over 3 minutes to nearly 20 seconds, increasing operational efficiency.
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