Which term is used to describe scaling based on well-defined, predictable patterns of resource usage?

The term that best describes scaling based on well-defined, predictable patterns of resource usage is predictive scaling. This approach involves using historical data to anticipate future resource requirements and automatically adjusting the cloud resources accordingly. It helps ensure that resources are available when needed, without manual intervention.

Predictive scaling leverages algorithms and machine learning to analyze usage trends over time, allowing organizations to optimize their resource allocation precisely. This proactive approach can lead to better performance and cost management, as resources are allocated only when necessary based on the expected patterns of demand.

Dynamic scaling refers to adjusting resources in real-time in response to varying workloads, which may not be based on a predictable pattern. Vertical scaling refers to adding more resources to an existing server rather than adjusting the number of instances based on usage patterns. Scheduled scaling involves setting specific times to scale resources up or down, which is not the same as predicting based on usage patterns.