Your company's legacy monolithic application has been recently migrated to AWS. After monitoring through CloudWatch, you discover the CPU utilization never exceeds 40%, and the memory usage is consistently low, suggesting overprovisioning. The application is critical to the business and has predictable traffic patterns. As part of cost optimization efforts, what is your FIRST step in addressing this overprovisioning while ensuring application availability and performance?
Utilize the application's performance metrics to select an instance type that matches the utilization patterns.
Increase the instances count to handle potential spikes in traffic, leveraging auto-scaling based on utilization thresholds.
Immediately migrate the application to a serverless architecture to minimize operational overhead and cost.
Reserve instances for the application in advance to benefit from cost savings regardless of the utilization.
Performing a thorough analysis of CloudWatch metrics to understand resource utilization is the first step towards identifying right-sized instances. Using the CPU and memory usage patterns to select a smaller, more cost-effective instance type that meets the actual demand is the next logical step. Migrating to a serverless architecture or reserving instances are subsequent steps that could be considered based on the analysis's outcome and may not directly address overprovisioning. Conducting an analysis would ensure an informed decision is made for potentially changing to a different resource.
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AWS Cloud Practitioner CLF-C02
Cloud Concepts
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