Which of the following approaches would provide the MOST robust solution for peak load times to maintain service availability in a cloud-hosted e-commerce application?
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Conduct biannual failover testing to a standby active data center.
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Distribute the workload evenly across a set number of provisioned instances.
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Implement auto-scaling policies based on web traffic metrics.
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Maintain a cold site for recovery in the event of a primary site failure.
Auto-scaling policies that adjust resources automatically in response to the web traffic provide the most effective means to handle varying load, such as peak usage times, ensuring that service availability is maintained without manual intervention. Workload distribution can enhance performance but may not automatically adjust to traffic spikes. A cold site provides a backup in case of a complete site failure and won't help with immediate traffic load. Biannual failover testing is important for disaster recovery preparedness but does not address the immediacy of peak load times.
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How do auto-scaling policies work?
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What are web traffic metrics, and how are they used in cloud applications?
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What is the difference between a cold site and a hot site in disaster recovery?