What is Autoscaling?

Study for the Kubernetes Cloud Native Associate (KCNA) Certification 1 Test. Master the core concepts of Kubernetes with multiple-choice questions and detailed explanations. Prepare and boost your confidence for the KCNA certification exam!

Multiple Choice

What is Autoscaling?

Explanation:
Autoscaling means automatically adjusting the number of running instances or the resources allocated to them based on observed demand, so the system scales up when traffic rises and scales down when it falls, without human intervention. In Kubernetes this is implemented by components like Horizontal Pod Autoscaler for pods, Vertical Pod Autoscaler for resource requests, and Cluster Autoscaler for nodes, which monitor metrics (such as CPU or custom metrics) and trigger scaling actions. This is different from manual scaling (done by a person), fixed resource allocation (which never changes), or just monitoring (which only observes but doesn’t automatically adjust).

Autoscaling means automatically adjusting the number of running instances or the resources allocated to them based on observed demand, so the system scales up when traffic rises and scales down when it falls, without human intervention. In Kubernetes this is implemented by components like Horizontal Pod Autoscaler for pods, Vertical Pod Autoscaler for resource requests, and Cluster Autoscaler for nodes, which monitor metrics (such as CPU or custom metrics) and trigger scaling actions. This is different from manual scaling (done by a person), fixed resource allocation (which never changes), or just monitoring (which only observes but doesn’t automatically adjust).

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