What are some effective scaling strategies in Kubernetes?
An example of an AI chatbot conversation about Kubernetes scaling strategies.
What are some effective scaling strategies in Kubernetes?
Kubernetes offers several scaling strategies, including horizontal pod autoscaling, vertical pod autoscaling, and cluster autoscaling. Would you like to know more about any specific strategy?
Can you explain horizontal pod autoscaling?
Horizontal pod autoscaling automatically adjusts the number of pod replicas based on CPU utilization or other select metrics. This helps maintain performance during varying loads.
What metrics can I use for autoscaling?
You can use metrics like CPU utilization, memory usage, or custom metrics defined by your application. Kubernetes allows you to set thresholds for these metrics.
How do I set up horizontal pod autoscaling?
To set it up, you need to define a HorizontalPodAutoscaler resource in your cluster, specifying the target deployment, metrics, and scaling limits.
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