AWS Compute Optimizer vs. Virtana Optimize

AWS Compute Optimizer works well if you are using AWS as the core tech stack. If you are on mixed cloud deployments, then it is less appropriate because it can only give you a partial view. It might be helpful to use a tool that aggregates the usage and billing data from multiple platforms instead.

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Very suited for medium to the large-sized infrastructure where you have a lot of services to monitor. It may be overkill for small infrastructures where you can use the providers' source of metrics instead.

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• Detailed analysis of resource uses
• Suggestion to reduce cost
• Easy to use

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• AWS Cost analysis across multiple accounts.
• Identification of orphaned and underutilized resources.
• Easy integration to your AWS account.
• Simple and intuitive user interface.

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• Although it works great for AWS services but they should give a third party cost add option
• Many features only work when there is large data available
• sometime suggestions are not relevant to business problem we address

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• It can be tricky to set-up depending on what you want to do.
• They have their own proprietary way of visualizing metrics, which is clever but does have a slight learning curve.

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Anytime we've had issues they have been very responsive and professional.

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Although both work in the same manner I prefer AWS cause our department mostly work on AWS technologies and it really makes our life easy in terms of cutting cost and making our application efficient and it gives a whole understanding of resource utilization. I recommend AWS Cost optimizer to all.

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We strongly prefer Metricly for AWS Cost Analysis -- whereas other tools are easier to use on a traditional monitoring basis. To be clear, Merticly's monitoring tools are GREAT, but they require tuning and manual setup that we didn't have the time for on a small Platform Operations team. We have worked closely with Metricly to expand on their cost analysis capabilities, and plan to use them going forward.

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• It has a very positive impact
• Reduced the cost by a significant amount
• Great understanding of resource utilization

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• We were able to decrease AWS costs with its predictive analytics by 20% YOY.

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