How does Kubernetes cluster autoscaling work?
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How does Kubernetes cluster autoscaling work?
Kubernetes cluster autoscaling automatically adjusts the number of nodes in your cluster based on resource demands. It ensures optimal resource utilization.
What triggers the autoscaling process?
The autoscaling process is triggered by metrics like CPU and memory usage. If the demand exceeds a certain threshold, new nodes are added.
Can I set custom metrics for autoscaling?
Yes, you can use the Horizontal Pod Autoscaler (HPA) to set custom metrics for scaling based on application-specific needs.
What are the benefits of using cluster autoscaling?
Cluster autoscaling helps optimize costs by scaling down unused resources, improves application performance, and enhances availability.
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