Recommendations

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How recommendations are made?

After you link your AWS accounts to our platform, an intricate process begins. Through the AWS services APIs, we analyze your account data, focusing on your on-demand resources.

The data is fed to our predictive models, trained to evaluate your usage patterns and predict future needs. Based on this, we identify cost-saving opportunities by transitioning to reserved instances.

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Why don’t recommendations match my instances?

This happens if your instance is too large, we split it into smaller reserved instances or if it’s too small we combine multiple on-demand instances in one large reserved instance.

Example: You might be running an xlarge instance and receive a recommendation to get 2 large reserved instances.

We do this to better optimize your reserved capacity. Moving instances to another region, downgrading, or moving them to another account under your organization will be more efficient with the right reserved instance size.

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Does that impact my on-demand instance?

We don’t interfere with your running on-demand instances. Switching to reserved instances based on our recommendations only affects billing, ensuring cost reductions without impacting performance, configurations, or availability.