AWS Service: AWS Compute Optimizer
Question: What are the limitations and constraints of AWS Compute Optimizer, and how can they impact application design and deployment?
Answer:
AWS Compute Optimizer has some limitations and constraints that can impact application design and deployment. Some of these limitations include:
Availability: AWS Compute Optimizer is not available in all regions, so it may not be accessible for certain applications or workloads.
Support for certain instance types: AWS Compute Optimizer does not support all instance types, which can limit its effectiveness in optimizing the performance and cost of some workloads.
Limited support for custom metrics: AWS Compute Optimizer only uses a limited set of metrics to optimize resources, which can limit its ability to fully optimize certain workloads that require custom metrics.
Cost: While AWS Compute Optimizer is free to use, it may suggest changes that can increase costs for some workloads, such as increasing the size of an instance or adding more resources.
Dependency on CloudWatch: AWS Compute Optimizer depends on CloudWatch metrics, so any issues with CloudWatch can impact the accuracy and effectiveness of the optimization recommendations.
To mitigate these limitations and constraints, it’s important to carefully consider the use cases and workloads that will be optimized with AWS Compute Optimizer. Additionally, it’s important to regularly monitor and evaluate the recommendations made by the service to ensure they align with business goals and priorities.
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