AWS Compute Optimizer

AWS Compute Optimizer

AWS Compute Optimizer recommends optimal AWS resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics.

Key Features

• Right-sizing: Recommends changing instance types to better match workload requirements.
• Machine Learning: Analyzes historical metrics (CPU, Memory, Network, Disk).
• Supported Resources: EC2 instances, EBS volumes, Lambda functions, Fargate services.
• Visualizations: Shows projected utilization and potential savings.

Exam Tips

• "Right-sizing recommendations": Answer is Compute Optimizer.
• "Reduce cost / improve performance": Compute Optimizer balances both.
• "Machine Learning based": It uses ML to analyze history.
• "Over-provisioned / Under-provisioned": Identifies these states.

Common Use Cases

• Cost Optimization: Downsizing over-provisioned instances.
• Performance Tuning: Upsizing under-provisioned instances to avoid bottlenecks.
• Licensing Optimization: Optimizing commercial software licenses by resizing instances.