How does Horizontal Pod autoscaling work in Kubernetes?
A.
The Horizontal Pod Autoscaler controller adds more CPU or memory to the pods when the load is above the configured threshold, and reduces CPU or memory when the load is below.
B.
The Horizontal Pod Autoscaler controller adds more pods when the load is above the configured threshold, but does not reduce the number of pods when the load is below.
C.
The Horizontal Pod Autoscaler controller adds more pods to the specified DaemonSet when the load is above the configured threshold, and reduces the number of pods when the load is below.
D.
The Horizontal Pod Autoscaler controller adds more pods when the load is above the configured threshold, and reduces the number of pods when the load is below.
The Horizontal Pod Autoscaler (HPA) in Kubernetes automatically adjusts the number of Pods in a Deployment, ReplicaSet, or StatefulSet based on observed metrics such as CPU utilization, memory usage, or custom metrics. The HPA ensures that the number of running Pods matches the current demand, scaling up when the load is high and scaling down when the load is low.
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shahy0
1 week, 1 day ago