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A Kubernetes controller automatically adds another pod replica to the resource pool in response to increased application load Which scalability option is the controller implementing?
Correct Answer: A
Kubernetes offers several scalability options to handle varying application loads. The scenario described involves adding another pod replica in response to increased load, which is a form of horizontal scaling. Here's a detailed explanation: * Horizontal Scaling: * Definition: Horizontal scaling, also known as scaling out, involves adding more instances (pods) to distribute the load and increase capacity. * Implementation in Kubernetes: Kubernetes uses controllers like the Horizontal Pod Autoscaler (HPA) to automatically adjust the number of pod replicas based on observed CPU utilization or other select metrics. * Benefits: * Load Distribution: By adding more pod replicas, the load is evenly distributed, reducing the risk of any single pod being overwhelmed. * Fault Tolerance: Horizontal scaling enhances fault tolerance and availability, as multiple pod replicas can handle requests if one fails. * Automatic Scaling: * Kubernetes Controller: The HPA continuously monitors the application load and adjusts the number of pod replicas accordingly, ensuring optimal performance. References * Kubernetes Documentation: Horizontal Pod Autoscaling * Kubernetes Scalability: Understanding Kubernetes Scaling
