What are the different autoscaling strategies in Kubernetes?
Kubernetes offers several autoscaling strategies, including Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and Cluster Autoscaler. Would you like to know more about any specific one?
Can you explain how the Horizontal Pod Autoscaler works?
The Horizontal Pod Autoscaler automatically adjusts the number of pods in a deployment based on observed CPU utilization or other select metrics. It scales up or down based on the defined thresholds.
What metrics can I use for scaling?
You can use CPU utilization, memory usage, or custom metrics defined by your application. Kubernetes allows you to specify these metrics in the HPA configuration.
How do I set up the Vertical Pod Autoscaler?
To set up the Vertical Pod Autoscaler, you need to install it in your cluster and then create a VPA object that specifies the target deployment. It will then recommend or automatically adjust resource requests and limits.
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