Discover how AWS Compute Optimizer helps right-size Amazon EC2 instances by analyzing historical usage data. Learn how this tool optimizes costs and performance for your workloads.
Table of Contents
Question
Which AWS tool or service provides recommendations to help users get right-sized Amazon EC2 instances based on the workload’s historical usage data?
A. AWS Pricing Calculator
B. AWS Compute Optimizer
C. AWS App Runner
D. AWS Systems Manager
Answer
B. AWS Compute Optimizer
Explanation
AWS Compute Optimizer provides recommendations to help users get right-sized Amazon EC2 instances based on the workload’s historical usage data.
Why AWS Compute Optimizer is the Right Choice
AWS Compute Optimizer is a machine learning-based service designed specifically to help users optimize their AWS resources, including Amazon EC2 instances. By analyzing historical utilization metrics such as CPU, memory, and network usage, it provides actionable recommendations for right-sizing EC2 instances. This ensures that workloads are neither over-provisioned (leading to unnecessary costs) nor under-provisioned (causing performance issues).
Here’s why AWS Compute Optimizer is the correct answer:
- Machine Learning Analysis: It uses advanced algorithms to analyze past usage data and predict the optimal configurations for your workloads.
- Cost Optimization: The tool identifies underutilized or overutilized resources, helping you reduce costs by recommending the most efficient EC2 instance types.
- Performance Enhancement: Recommendations are tailored to maintain or improve workload performance while minimizing resource waste.
- Supported Resources: In addition to EC2 instances, it also provides recommendations for Auto Scaling groups, EBS volumes, and Lambda functions.
Why Not the Other Options?
A. AWS Pricing Calculator: This tool is used for estimating the cost of AWS services but does not provide optimization recommendations based on historical usage data.
C. AWS App Runner: This service is designed to deploy and manage containerized web applications and APIs, not for optimizing EC2 instances.
D. AWS Systems Manager: While it helps manage AWS resources, it does not provide specific recommendations for right-sizing EC2 instances based on usage patterns.
Key Features of AWS Compute Optimizer
- Provides up to three alternative instance recommendations with projected cost savings and performance metrics.
- Visualizes historical utilization data alongside optimization suggestions.
- Allows customization of recommendation parameters, such as CPU thresholds and lookback periods, for more tailored insights.
By leveraging AWS Compute Optimizer, businesses can achieve significant cost savings—up to 25% in some cases—while ensuring their workloads perform optimally.
Amazon AWS Certified Cloud Practitioner CLF-C02 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Amazon AWS Certified Cloud Practitioner CLF-C02 exam and earn Amazon AWS Certified Cloud Practitioner CLF-C02 certification.