An online shop experiences unexpected spikes in processing demand during certain promotions. The team wants to ensure capacity adapts when usage metrics exceed a set limit. Which approach best addresses these fluctuations?
Expansions triggered by usage indicators allow environments to handle unplanned surges. Timed expansions do not respond well to rapid changes in demand. Adding memory modules alone does not solve the main issue if overall resource limits are exceeded. Changing the core platform does not inherently ensure capacity adjustments during peaks.
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