A retail analytics team notices that their reporting application sees large usage spikes every quarter. They want to minimize operating expenses during typical usage but still handle the surge when it happens. Which strategy helps achieve these goals?
Splitting requests to an existing on-site system
Operating a continuous large-scale instance
Deploying a fixed cluster of containers
Using ephemeral tasks that scale with demand triggers
Ephemeral tasks triggered by actual usage adjust capacity as needed. This approach lowers expenses when usage is lower while keeping performance stable during heavier loads. Running a large instance continuously or using a fixed container setup can lead to higher costs if the traffic drops. Directing queries to an existing on-site system can limit future growth potential.
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