Optimization profiles allow you to specify the upper and lower limits of acceptable CPU and memory usage to reflect the intended optimization strategy for the workloads using the profile. RealTheory uses this information to provide recommendations that align with your goals—whether that's improving efficiency, supporting performance, or balancing both—without compromising the workload's ability to perform as needed.
By defining how resource usage should be interpreted in context, profiles help RealTheory tailor its recommendations to match the role and criticality of each workload.
See Optimization Profiles Explained for more information about optimization profiles.
To manage optimization profiles, you must have one of the following roles assigned to your user account:
Profile | Description | Example Use Case |
|---|---|---|
Performance Optimized | Recommends configurations that not only satisfy compute demands but also include additional overhead to absorb unexpected surges. | A high-traffic API service that must respond quickly, even under variable load. |
Balanced | Recommends configurations that satisfy compute demands while strategically moderating resource allocation between performance and cost. | Workloads that experience regular demand with moderate peaks, such as a batch processing workload |
Cost Optimized | Recommends configurations that satisfy compute demands while minimizing over-provisioning. | A dev or staging environment where resource efficiency matters more than performance. |
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