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An online retail company hosts its core ordering service on Google Kubernetes Engine (GKE). The application experiences predictable, massive traffic spikes every morning at the start of business hours, followed by minimal activity overnight.
To ensure responsiveness during the morning rush, the team currently maintains a high static minReplicas value in the Horizontal Pod Autoscaler (HPA) configuration. However, management noticed that this setting prevents the cluster from scaling down during off-peak night hours, resulting in substantial unnecessary infrastructure costs.
You need to design a scaling architecture that handles the predictable morning surges without overpaying for idle capacity overnight.
Which scaling strategy should you implement?
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