AWS Compute Optimizer

AWS Compute Optimizer is a service that uses machine learning to analyze the historical utilization patterns of your Amazon EC2 instances and provide recommendations to help you optimize your compute resources. It examines CPU, memory, and network usage over a period of time to identify opportunities for improving performance and reducing costs.

Key features of AWS Compute Optimizer include:

1. Recommendations: AWS Compute Optimizer provides detailed recommendations for your EC2 instances, such as changing instance types, resizing instances, or stopping instances that are underutilized.

2. Instance Types: The service suggests instance types that better match your workload's resource requirements, potentially leading to better performance or cost savings.

3. Resource Utilization: Compute Optimizer analyzes your instances' historical resource utilization to determine if they are overprovisioned or underprovisioned, helping you right-size your instances.

4. Cost Savings: By optimizing instance types and sizes, you can potentially reduce your AWS costs by avoiding overprovisioning.

5. Performance Improvements: Optimizing instance types and sizes can lead to improved application performance and responsiveness.

6. Supported Instance Families: Compute Optimizer supports a wide range of EC2 instance families, including general-purpose, compute-optimized, memory-optimized, and more.

7. Visibility and Insights: The service provides insights into the performance and utilization of your instances over time, helping you make informed decisions about resource optimization.

Using AWS Compute Optimizer, you can better align your EC2 resources with your application's needs, ensuring that you are neither overpaying for unused resources nor experiencing performance bottlenecks due to underprovisioning. Compute Optimizer can help you strike the right balance between cost efficiency and performance optimization for your cloud workloads.

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