What is a Horizontal Pod Autoscaler?
An example of an AI chatbot conversation about Horizontal Pod Autoscaler in Kubernetes.
What is a Horizontal Pod Autoscaler?
A Horizontal Pod Autoscaler (HPA) automatically adjusts the number of pods in a deployment based on CPU utilization or other select metrics.
How does it determine when to scale up or down?
HPA monitors the specified metrics, like CPU usage, and compares them to the target values. If the metrics exceed the target, it scales up; if they fall below, it scales down.
Can I use custom metrics with HPA?
Yes, you can use custom metrics by integrating them with the Kubernetes Metrics API, allowing HPA to scale based on your defined metrics.
What are the benefits of using HPA?
HPA helps optimize resource usage, improves application performance, and ensures that your application can handle varying loads efficiently.
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