G2

Atharva P.

Cloud BI Engineer

Enterprise (> 1000 emp.)

6/8/2026

"Clear, Actionable Recommendations for Smarter AWS Resource Optimization"

4.5/5

What do you like best about AWS Compute Optimizer?

What I like most about AWS Compute Optimizer is how it analyzes resource utilization and turns that data into clear, actionable recommendations for optimizing cloud infrastructure. It helps pinpoint overprovisioned and underutilized resources, so teams can adjust capacity to improve performance while also reducing costs.

I also appreciate that the recommendations are straightforward to understand and are grounded in real usage patterns rather than guesswork. Review collected by and hosted on G2.com.

What do you dislike about AWS Compute Optimizer?

The recommendations should be reviewed carefully before implementation because business requirements, future growth, and workload characteristics may not always be reflected in historical usage data. Some advanced optimization scenarios still require manual analysis. Review collected by and hosted on G2.com.

What problems is AWS Compute Optimizer solving and how is that benefiting you?

AWS Compute Optimizer solves cloud cost optimization and resource rightsizing challenges.

Example:

In our AWS environment, Compute Optimizer identified EC2 instances that were consistently underutilized and recommended smaller instance types. After validating workload requirements, we were able to reduce infrastructure costs while maintaining application performance.

We also used recommendations for EBS volumes and Auto Scaling Groups to improve resource utilization and reduce unnecessary spending.

This helped improve cloud cost efficiency without impacting operational performance. Review collected by and hosted on G2.com.