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IBM Kubecost vs PerfectScale comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Kubecost
Ranking in Cloud Cost Management
14th
Average Rating
9.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
PerfectScale
Ranking in Cloud Cost Management
18th
Average Rating
9.0
Reviews Sentiment
1.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

DIRK UYTTERHOEVEN - PeerSpot reviewer
Identifies and eliminates overprovisioning of expensive resources like storage, highly scalable and offers performance
I like the overall product because I can select what monitoring should be enabled and whatnot. In our case, we really focus on performance because it's clear that the price is related to most performance setups. So the more performance, the more expensive. So we look into the performance that the customer needs, and then based upon that feedback from the remote control, we change the parameters. And even the end user will not notice it is not using it, so we just make money without any impact on the end users.
reviewer2750058 - PeerSpot reviewer
Gain visibility into Kubernetes clusters and optimize resource allocation based on historical data
I think they should focus more on Kubernetes features that allow on-the-fly resource allocation without the need to restart services. They should implement this in their autoscaler to make it more useful in scenarios that require immediate scaling up or down. They should also offer more options for visualizing graphs in different ways, such as tabular views.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I mostly like the dashboards."
"It offers a detailed examination of your cluster, including the types of instances utilized, allocated CPU and RAM, and resource distribution for specific applications."
"The price is reasonable, considering the value it delivers."
"The cluster and workload autoscaler gives us the ability to have control over all the workloads' resources instead of managing them one by one."
 

Cons

"There is a significant potential for enhancing it through the incorporation of advanced technologies like AI and generative AI."
"The integration with other solutions could be improved."
"Faster monitoring could potentially improve overall stability in the production environment."
"I think they should focus more on Kubernetes features that allow on-the-fly resource allocation without the need to restart services."
 

Pricing and Cost Advice

"The cost of the tool may seem nominal compared to the potential savings in infrastructure expenses."
"The cost is cheap. Kubecost has an open-source core."
"The real savings come from using Kubecost features like autoscaling and serverless functions to optimize your resource usage. If you treat it like a data center migration without fine-tuning, it might cost more."
Information not available
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Questions from the Community

What do you like most about Kubecost?
The price is reasonable, considering the value it delivers.
What is your experience regarding pricing and costs for Kubecost?
The price is reasonable, considering the value it delivers. In all honesty, once you have your optimal design, you could just turn it off and then activate it maybe once every six months or once ev...
What needs improvement with Kubecost?
In future releases, I would like to see faster monitoring because it could potentially improve overall stability in the production environment.
What needs improvement with PerfectScale?
At the beginning, the support was not very impressive. There were some mistakes in the documentation, such as how to exclude a workload from automation.
What is your primary use case for PerfectScale?
I used PerfectScale to gain insight into the workload and then optimized the resource allocation through manual configuration or automated allocation. By doing so, I was able to achieve Kubernetes ...
 

Comparisons

No data available
 

Also Known As

Kubecost - Amazon EKS cost monitoring
No data available
 

Overview

Find out what your peers are saying about IBM, Nutanix, Microsoft and others in Cloud Cost Management. Updated: September 2025.
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