A marketing firm needs to process data in response to customer interactions on their website, which occur sporadically throughout the day. The data processing tasks vary in execution duration and do not follow a predictable schedule. Which compute solution is most SUITABLE for this scenario?
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Serverless function execution service
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Containers management service with a microservices architecture
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Management service for batch processing workloads
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Provisioning virtual servers with an elasticity service
The most suitable compute solution for sporadic and event-driven tasks with variable execution durations is a serverless platform. A serverless platform allows tasks to be triggered by specific events, automatically scales, and charges only for the execution time used. Elastic compute instances, while flexible, would incur ongoing charges even when idle, making them less cost-effective for infrequent and unpredictable workloads. A container management service is more efficient for continuous running applications rather than event-triggered tasks. A service for batch processing jobs is not ideal for tasks that require immediate execution upon an event trigger.
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