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Recommendation Section Overview

The Recommendation Section in CostQ serves as the brain of your AWS cost optimization strategy. Powered by advanced AI-driven insights, this section provides actionable suggestions to eliminate waste, optimize resource usage, and maximize cost savings. By leveraging this section, users can not only improve their cloud cost efficiency but also take a proactive approach to long-term financial management in the cloud.

1. Key Features​

Automated Cost Optimization Suggestions​

CostQ’s AI analysis works tirelessly behind the scenes to continuously scan your AWS resources for inefficiencies. This feature ensures that your cloud infrastructure is constantly evolving to match your needs without incurring unnecessary costs.

  • AI-powered analysis detects unused, underutilized, or misconfigured resources within your AWS environment.
  • Recommendations include right-sizing instances, adjusting storage tiers, and exploring reserved instance savings plans to lock in long-term discounts.

These suggestions are designed to help users get the most out of their AWS services without having to manually sift through logs or complex data sets.

Service-Specific Recommendations​

Each AWS service is different in terms of pricing, resource utilization, and cost-saving opportunities. The Recommendation Section breaks down suggestions by specific AWS services to ensure you get the most relevant and actionable advice for each one.

  • Detailed recommendations for EC2, RDS, S3, Lambda, and many other services ensure that every corner of your AWS environment is covered.
  • For each service, CostQ highlights potential savings and suggests efficiency improvements that can result in better performance without breaking the bank.

This makes it easy to zero in on the areas that need the most attention while optimizing overall cloud costs.

Projected Savings Calculation​

One of the most powerful features of the Recommendation Section is its ability to project savings based on the recommendations it provides. This feature calculates the potential impact of each optimization and compares it to your current spend, so you can see exactly how much you'll save.

  • Estimated savings from applying the recommendations are clearly displayed, giving you a clear picture of your potential savings.
  • The section provides a before-and-after cost comparison to help you measure the tangible impact of implementing the recommendations.

Actionable Insights with Justification​

Each recommendation comes with a detailed explanation of why it’s being suggested, allowing users to make informed decisions. The insights are backed by real metrics like CPU utilization, memory usage, and billing trends, which help users understand the reasoning behind each cost-saving recommendation.

  • This transparency ensures that users aren’t just following arbitrary suggestions but are instead making informed, data-driven decisions.

One-Click Implementation or Manual Review​

While some optimizations can be applied instantly, others may require a more careful review before implementation. Users have the flexibility to act quickly on high-impact recommendations or take their time to review and understand the details before making changes.

  • One-click application of optimizations for immediate implementation.
  • Manual review option for complex changes, allowing users to ensure that the adjustments align with their overall strategy.

This flexibility ensures that users have complete control over when and how optimizations are implemented.

Filtering & Customization​

The Recommendation Section gives users the ability to filter recommendations based on various factors, such as service, cost impact, and urgency. This feature helps users prioritize recommendations that align with their budget and business needs.

  • Custom alerts can be set up to notify your team about critical cost-saving opportunities, so you never miss a chance to optimize your AWS environment.
  • The filtering options ensure that users can focus on recommendations that will have the greatest immediate and long-term impact.

2. How to Use​

Using the Recommendation Section in CostQ is simple and intuitive:

  1. Navigate to the Recommendation Section from the CostQ dashboard.
  2. Review the suggested optimizations and view their projected cost savings.
  3. Click on a recommendation to see a detailed breakdown, including the justification and the metrics behind the suggestion.
  4. Choose whether to apply the recommendation immediately using the Apply Now button or Mark for Review to assess the change at a later time.
  5. Track your progress over time to see how applied optimizations are affecting your overall cloud spending.

Interactive Demo​

By regularly reviewing and acting on these insights, businesses can continuously improve their AWS cost efficiency and build a long-term cost-saving strategy.