I love how IBM Turbonomic accurately analyzes workloads and provides clear, actionable recommendations. The automation is impressive because it manages resource adjustments in real time, eliminating the need for constant manual checks. I appreciate the visibility it offers across both cloud and on-prem environments, making performance and cost management much more straightforward. Its accurate workload analysis is invaluable to my work as it takes the guesswork out of resource planning, specifying exactly which VM, service, or application needs more or fewer resources. This feature minimizes unnecessary time spent on troubleshooting. I value the proactive approach of IBM Turbonomic, which prevents performance issues before they arise, thereby ensuring a more stable and cost-efficient environment. It’s this forward-thinking capability that truly increases the platform's value for me. Review collected by and hosted on G2.com.

One thing that could be improved in IBM Turbonomic is the initial setup and configuration; it can feel a bit complex for new users. Some dashboards also take time to get used to because there’s a lot of data to interpret. I’d also like to see faster syncing with certain cloud providers, as sometimes recommendations take a little time to reflect real-time changes. Additionally, more customizable alerts would be useful so I can fine-tune notifications based on specific workloads. A cleaner, more modern UI would make navigation simpler, especially for new users. Adding deeper integrations with third-party monitoring tools could make the platform even more seamless and reduce context-switching. Review collected by and hosted on G2.com.

I appreciate IBM Turbonomic for its performance assurance capabilities, which is the main feature that stands out to me. It is designed to automate resource allocations across complex hybrid and multi-cloud environments, ensuring secured application performance. I find the AI-driven closed-loop automation particularly impressive as it not only generates alerts or recommendations but proactively executes policy-driven actions automatically. This level of automation streamlines processes and assures performance, adding significant value. Additionally, the initial setup was quite easy for us, simplifying the integration with our existing processes. Overall, IBM Turbonomic’s ability to manage and assure the performance of applications efficiently in diverse cloud environments is something I like a lot. Review collected by and hosted on G2.com.

I find IBM Turbonomic to be somewhat complex in nature, which might make it challenging to navigate or fully utilize without improvement. Additionally, the running costs associated with using IBM Turbonomic are a concern for me. It seems that the cost structure could be optimized to improve the overall trust and adoption of the product. Review collected by and hosted on G2.com.

I really like how IBM Turbonomic automatically manages workload placement and movement (VMs and pods) seamlessly, ensuring stable performance even during peak demand. Its real-time scaling decisions—both vertical and horizontal—help optimize resources and prevent performance congestion, while streamlining cluster consolidation.

IBM Turbonomic’s automation and predictive intelligence are standout features, helping to reduce manual overhead and anticipate performance issues before they occur. The support team’s responsiveness and expertise make resolving configuration or scaling challenges much easier. In daily use, Turbonomic has proven to improve workload efficiency and optimize operational costs effectively Review collected by and hosted on G2.com.

One area that could be improved is the user interface, which can feel a bit complex for new users. It takes some time to get comfortable navigating the dashboards and interpreting all the data. Additionally, while customer support is helpful, response times can occasionally be slower during peak periods. Another minor drawback is that the initial setup and integration with hybrid or multi-cloud environments can require extra configuration effort. Once it’s up and running, though, the system performs very well and delivers great visibility and control. Review collected by and hosted on G2.com.

I love IBM Turbonomic for its powerful automation that significantly contributes to cost savings and guarantees application performance, which is crucial for my operations. It solves performance issues efficiently, reduces costs by eliminating unnecessary resources, and replaces the need for manual tuning with its automation capabilities. This not only saves me time and money but also reduces headaches, ensuring that my applications run smoothly and effectively. I appreciate how much it has enhanced the performance optimization and cost-saving strategies within my organization, making it a valuable tool in my toolkit. Review collected by and hosted on G2.com.

I find the ease of setup to be an area that could use improvement. The UI design feels lacking and could be more intuitive. Additionally, the explanations for recommendations aren't as clear as I'd like, making it difficult to fully understand some automated suggestions. Integration with other tools and the reporting features also leave room for enhancement. Lastly, the pricing structure could be more straightforward and transparent. Review collected by and hosted on G2.com.

I appreciate how IBM Turbonomic has been very helpful in my career by resolving severe issues, proving invaluable to both my role and organization. The mesmerizing infrastructure stands out to me, along with the system's ability to seamlessly integrate with applications like AI, Kubernetes, OpenSearch, and other open-source applications, which are crucial for problem-solving within my organization. I find this platform reliable, with a richer set of libraries compared to previous technologies such as Hadoop. Additionally, even though setup took 2-3 days, the provided documentation was comprehensive enough to facilitate it successfully. Review collected by and hosted on G2.com.

the time taking environment Review collected by and hosted on G2.com.

It integrate with different cloud providers easily like AWS, Azure, GCP, VMWare. Reduces cost using ML models. Review collected by and hosted on G2.com.

Price is high to use it. It itself consume lot of resources. Review collected by and hosted on G2.com.

I really appreciate IBM Turbonomic's ability to automatically align compute, storage, and memory resources with application demand, ensuring optimal performance at all times. This level of automation decisively reduces over-provisioning issues and helps me maintain system efficiency. Moreover, I find its cost optimization feature particularly beneficial through its rightsizing capabilities, which allow me to effectively manage expenses and optimize operational efficiency. Review collected by and hosted on G2.com.

I found it complex to initially set up IBM Turbonomic, so a more user-friendly experience would be appreciated. Review collected by and hosted on G2.com.

I really appreciate the ease of use and the frequency of use—it’s become part of our daily workflow. The number of features is impressive, and the platform’s recommendations make resource management much simpler. Ease of integration with our existing systems also saves us a lot of time, and the customer support has been very responsive whenever we had questions. Review collected by and hosted on G2.com.

One thing I find a bit challenging about IBM Turbonomic is that there can be a learning curve for new users. It’s very powerful, but it takes some time to fully understand all the features and how to get the most out of them. Review collected by and hosted on G2.com.

The best part is the automated recommendations for scaling and rightsizing VMs. It helped reduce some unnecessary cloud costs and gave a better view of performance impacts. Review collected by and hosted on G2.com.

Sometimes the recommendations feel too aggressive, and you still need to validate them manually. It also takes some time to fully understand the dashboards when you're new to the tool Review collected by and hosted on G2.com.

It gives clear visibility into resource usage and helps identify over-provisioned workloads. The recommendations are easy to understand and useful for cost optimisation. Review collected by and hosted on G2.com.

Some of the automation policies require tuning, otherwise the recommendations can be noisy. It’s not always clear which ones should be applied directly. Review collected by and hosted on G2.com.