The best of IBM Turbonomic
October 08, 2025
The best of IBM Turbonomic
Score 8 out of 10
Vetted Review
Verified User
Software Version
Enterprise Edition
Overall Satisfaction with IBM Turbonomic
We use IBM Turbonomic to supervise and analyze the resources consumption of our Kubernetes clusters and cross that information with the information from VMware which is also monitored with IBM Turbonomic.
We have problems with pod's distribution among our worker nodes and this generates downtimes of the nodes and saturation on our VMware system.
We have problems with pod's distribution among our worker nodes and this generates downtimes of the nodes and saturation on our VMware system.
Pros
- Recommendations about limits and requests of pods
- Distribution of pods
- Capacity plans
Cons
- Predictive capacity plans
- Consume a lot of resources after a while
- Improve the way its show the relations between workloads
- It shows us the savings that maybe we don's see easily.
- Optimize the performance of the current workloads.
- Help us to make a plan based on the behavior of our workloads
Distribution of workloads among a Kubernetes cluster is one of the most valuable capabilities of IBM Turbonomic for us. Because it helps when the scheduler form the cluster itself can't do the job done.
And at the same time this improve the behavior of the applications optimizing the use of the resources.
And at the same time this improve the behavior of the applications optimizing the use of the resources.
See the correct distribution of my workloads across my kubernetes cluster and assign on a better way the limits and request that they need to run efficiently.
Do you think IBM Turbonomic delivers good value for the price?
Yes
Are you happy with IBM Turbonomic's feature set?
Yes
Did IBM Turbonomic live up to sales and marketing promises?
Yes
Did implementation of IBM Turbonomic go as expected?
Yes
Would you buy IBM Turbonomic again?
Yes
Comments
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