Answer
Automatically increases or decreases service instances based on metrics.
Tools: Kubernetes HPA.
Tools: Kubernetes HPA.
Quick Answer
Autoscaling automatically adjusts service instances based on demand. Kubernetes HPA (Horizontal Pod Autoscaler) scales pods based on CPU, memory, or custom metrics (queue depth, requests per second). KEDA extends this to event-driven scaling (scale to zero, scale based on Kafka lag). VPA adjusts resource requests. Cluster Autoscaler adds/removes nodes as needed.
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SugharaIQ Editorial Team
Verified Answer
This answer has been peer-reviewed by industry experts holding senior engineering roles to ensure technical accuracy and relevance for modern interview standards.
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Source: SugharaIQ