A finance company's cloud environment experiences a predictable spike in demand every weekday at 17:00 when hundreds of employees generate end-of-day reports. To guarantee capacity, the administrator configures the cloud platform to automatically add two additional virtual machines at 16:45 and remove them at 18:30, regardless of the current resource-usage metrics.
Which cloud-scaling approach is the administrator using?
The administrator pre-defines exact times for the scale-out and scale-in actions. This is scheduled scaling, which follows a fixed timetable.
Trending (predictive) scaling relies on historical usage patterns the system analyzes to forecast demand and react just before loads occur, but it does not use hard-coded clock times.
Load-based scaling triggers when real-time metrics (for example, CPU or memory) cross a threshold.
Event-based scaling reacts to a specific event, such as a message in a queue or an HTTP request.
Because the action is tied to a known schedule rather than dynamic trends, scheduled scaling is the correct choice.
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