Management and Governance
CoreAWS Compute Optimizer
Rightsizing and cost-performance recommendations for supported compute and storage resources from observed utilization.
Key points
- Recommendations need sufficient representative data and workload-owner validation.
- Optimizer can reveal over- or under-provisioning but cannot infer every latency, licensing, availability, or future-growth constraint.
- Act on the dominant bottleneck and test changes; do not downsize solely from average CPU.
Best-known use cases
- Rightsize EC2 instances and supported resources.
- Compare cost-performance options before a capacity change.
What candidates often confuse it with
- Compute Optimizer recommends resource shapes; Cost Explorer analyzes spend.
- Compute Optimizer rightsizes; Auto Scaling changes capacity with demand.
Key takeaway
Use Compute Optimizer as evidence for rightsizing, not as an automatic override of business requirements.
Related services
- Amazon EC2
- AWS Cost Explorer
- Amazon EC2 Auto Scaling
Relevant exam tasks
- D4.2