AWS Compute Optimizer recommends optimal AWS Compute resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Over-provisioning compute can lead to unnecessary infrastructure cost and under-provisioning compute can lead to poor application performance. Compute Optimizer helps you choose the optimal Amazon EC2 instance types, including those that are part of an Amazon EC2 Auto Scaling group, based on your utilization data.
| Product | Market Share (%) |
|---|---|
| AWS Compute Optimizer | 0.5% |
| AWS Lambda | 18.2% |
| AWS Batch | 17.7% |
| Other | 63.6% |
By applying the knowledge drawn from Amazon’s own experience running diverse workloads in the cloud, Compute Optimizer identifies workload patterns and recommends optimal compute resources. Compute Optimizer analyzes the configuration and resource utilization of your workload to identify dozens of defining characteristics, for example, if a workload is CPU-intensive, or if it exhibits a daily pattern or if a workload accesses local storage frequently. The service processes these characteristics and identifies the hardware resource headroom required by the workload. Compute Optimizer infers how the workload would have performed on various hardware platforms (e.g. Amazon EC2 instances types) and offers recommendations.
| Author info | Rating | Review Summary |
|---|---|---|
| IT Manager at Arabian Cement Company | 4.0 | I'm using AWS Compute Optimizer for hosting applications and appreciate its scaling, management ease, and security features. However, AWS's unclear product names and disorganization hinder its usability. Switching from VMware, I enjoy more cost-effective and flexible operations. |
