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Kas saaksite selgitada skaleerimise kontseptsiooni Kubernetesis ja kuidas see rakendub?
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Vastus AI-lt
Scaling in Kubernetes is the process of increasing or decreasing the number of pods (application deployment units) to ensure the necessary performance and availability.
Main types of scaling:
- Manual scaling: an administrator manually changes the number of replicas using the
kubectl scalecommand. - Automatic scaling (Horizontal Pod Autoscaler, HPA): Kubernetes automatically increases or decreases the number of pods based on metrics (e.g., CPU load or custom metrics).
Example command for manual scaling:
kubectl scale deployment my-app --replicas=5
HPA is configured via a manifest, where the target metric and the minimum/maximum number of replicas are specified. The Kubernetes controller monitors the metrics and adjusts the number of pods.
Thus, scaling allows flexible adaptation of resources to load, ensuring the stability and efficiency of the application.