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Optimized for: Gemini / ChatGPT / Claude

#Kubernetes

Advanced AI Prompt for Cluster Proportional Autoscaler on EKS

Customize the variables below to instantly engineer your prompt.

Required Variables

✦ TARGET DEPLOYMENT

✦ CORES PER REPLICA

✦ NODES PER REPLICA

✦ MIN REPLICAS

cluster-proportional-autoscaler-eks.txt

Act as a Scaling Specialist. Configure the Cluster Proportional Autoscaler (CPA) on EKS to scale critical system services like CoreDNS or an Ingress Controller based on cluster size. Provide the CPA deployment manifest and the ConfigMap that defines the scaling linear gradient: 1 replica per [CORES_PER_REPLICA] CPU cores or 1 replica per [NODES_PER_REPLICA] nodes, whichever is higher, with a minimum of [MIN_REPLICAS]. The target deployment for scaling is [TARGET_DEPLOYMENT]. Explain why proportional scaling is superior to horizontal pod autoscaling for core infrastructure components in a growing cluster.

Launch In:ChatGPT Claude Gemini

Example Text Output

"A Kubernetes CPA manifest including the scaling algorithm configuration and a deployment for the CPA controller."

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Frequently Asked Questions

What is the "Advanced AI Prompt for Cluster Proportional Autoscaler on EKS" prompt used for?▾

A Kubernetes CPA manifest including the scaling algorithm configuration and a deployment for the CPA controller.

Which AI tools work with this prompt?▾

This prompt is optimized for Gemini / ChatGPT / Claude, but works great with ChatGPT, Claude, Gemini, and other large language models. Simply copy it and paste it into your preferred AI tool.

How do I customize this prompt?▾

Use the variable fields above to fill in your specific details. The prompt will auto-update as you type, ready to copy instantly.

Is this prompt free?▾

Yes! All prompts on Blenra are free to copy and use immediately. No account required.