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An online retail organization is preparing its cloud architecture for annual holiday sales events. During these events, customer traffic fluctuates unpredictably with massive, short-term spikes, while normal day-to-day operations experience moderate, steady traffic. The company must ensure business continuity with minimal downtime and maintain cost efficiency without manually provisioning capacity ahead of every spike.
Which cloud architecture strategy should the organization adopt to meet these operational and business continuity requirements?
Deploy a serverless tier configured with a single replica to minimize baseline costs
Statically provision compute capacity locked permanently at maximum estimated peak demand
Maintain a single-instance database and rely on disk IOPS bursting without redundancy
Implement provisioned throughput in autoscale mode paired with high availability replicas
Deploy a serverless tier configured with a single replica to minimize baseline costs
Statically provision compute capacity locked permanently at maximum estimated peak demand
Maintain a single-instance database and rely on disk IOPS bursting without redundancy
Implement provisioned throughput in autoscale mode paired with high availability replicas
Autoscale mode with provisioned throughput dynamically adjusts resource capacity in response to real-time workload demand, while high availability (HA) replicas ensure redundancy by maintaining secondary copies of data and compute instances.
Combining autoscale with high availability replication delivers the ideal balance of elasticity, reliability, and cost-efficiency. It avoids cold-start latency while maintaining active operational readiness and resilience against downtime during critical revenue events.
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