Karpenter Best Practices: 10 Tips for Production Clusters

Karpenter is a tool designed to optimize the scaling of EKS clusters, but deploying it in production environments requires careful configuration to avoid common pitfalls. The stable v1 API, released in mid-2024 and maintained under the kubernetes-sigs GitHub organization, introduces improvements such as NodePool and EC2NodeClass, disruption budgets, and an SQS interruption pipeline to manage node disruptions effectively. Best practices for using Karpenter include running it on dedicated nodes to avoid circular dependencies, designing mutually exclusive NodePools to prevent unpredictable workloads, and setting resource limits to avoid over-provisioning. Spot interruption handling should be managed via SQS for better response times, and AMIs should be pinned to prevent untested versions from disrupting operations. Additionally, maximizing instance-type diversity for Spot, configuring consolidation and disruption budgets, setting node expiry for AMI freshness, and using the do-not-disrupt annotation strategically can enhance Karpenter's effectiveness. Monitoring with Prometheus is essential for identifying bottlenecks and disruptions, and integrating Cast AI can further optimize resource requests and Spot utilization. These practices ensure that Karpenter scales clusters reliably and safely, offering a more predictable and efficient infrastructure.

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