A cloud administrator is tasked with ensuring an e-commerce platform can handle future traffic growth. After reviewing CPU and memory utilization metrics from the past year, the administrator observes a consistent 20% increase in resource consumption during holiday seasons. To prepare for the upcoming holiday, they decide to proactively increase capacity. Which scaling approach is being used?
The correct approach is trending, which involves analyzing historical data to forecast future resource needs and proactively adjust capacity. In the scenario, the administrator uses past holiday usage patterns to plan for the future. Load-based scaling is reactive and triggered by current metrics, while event-based scaling is triggered by specific, non-cyclical occurrences. Scheduled scaling is time-based but does not necessarily rely on analyzing past trends to make the decision; it simply scales at a fixed time.
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What metrics are commonly examined for historical resource usage patterns?
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How is historical data gathered for planning resource needs?
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Why is examining historical usage data better than static capacity planning?