IBM Turbonomic On-Prem
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Automated Recommendations That Cut Cloud Costs Effortlessly
What do you like best about the product?
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.
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
It mainly helps in reducing unnecessary cloud spend by pointing out VMs and workloads that can be resized or adjusted. The insights help us make more confident optimization decisions.
Keeps Apps Running Smoothly and Cuts Cloud Costs
What do you like best about the product?
This tool helps keep applications running smoothly, while also lowering cloud expenses and minimizing operational overhead.
What do you dislike about the product?
The biggest drawback is the high cost and the complicated setup process.
What problems is the product solving and how is that benefiting you?
It solves the problem of ensuring application performance while controlling infra and cloud costs
Transforms Cloud Resource Management Seamlessly
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic helps me maintain smooth application performance and control cloud costs by automating workload analysis and resource allocation. It reduces manual troubleshooting, enhances stability, and provides proactive cost management through real-time, actionable recommendations.
Intuitive UI and Smart Recommendations Deliver Impressive Cost Savings
What do you like best about the product?
UI is very good, easy to navigate b/w the options, auto scaling option is good. VM automatically analyzes and gives recommendation this is helpful. At last cost saving is the best result.
What do you dislike about the product?
pricing seems high, some suggestions will not work in reality. initial configs was bit time taking.
What problems is the product solving and how is that benefiting you?
monitoring is slow, sometimes performance issue
Clear Resource Insights with Helpful Cost Optimization, But Room for Improvement
What do you like best about the product?
It gives clear visibility into resource usage and helps identify over-provisioned workloads. The recommendations are easy to understand and useful for cost optimisation.
What do you dislike about the product?
Some of the automation policies require tuning, otherwise the recommendations can be noisy. It’s not always clear which ones should be applied directly.
What problems is the product solving and how is that benefiting you?
it mainly helps in reducing unnecessary cloud spend by pointing out VMs and workloads that can be resized or adjusted for cost savings. The insights help us make more confident optimization decisions.
AI-Powered Automation with Room for Cost Optimization
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic for AI-driven automation of resource allocations in complex hybrid and multi-cloud environments, ensuring secured application performance and continuous cost optimization.
Automated Optimization That Delivers Real Results
What do you like best about the product?
A distinguishing feature is its ability to automatically execute optimization actions based on real-time data analysis, rather than just making recommendations.
What do you dislike about the product?
Complex setup: The setup process is often described as challenging, particularly for smaller environments or organizations with limited IT resources.
What problems is the product solving and how is that benefiting you?
Operational Inefficiency: IT teams spend excessive time on reactive monitoring and troubleshooting, which prevents them from focusing on strategic, high-value initiatives.
Optimizes Resources but Challenging Setup
What do you like best about the product?
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.
What do you dislike about the product?
I found it complex to initially set up IBM Turbonomic, so a more user-friendly experience would be appreciated.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic for resource optimization on Azure and VMware, solving over-provisioning issues. It matches resources to demand automatically, enhancing performance and cost-efficiency through rightsizing.
An Everyday Tool for Smarter Resource Management
What do you like best about the product?
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
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
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
With IBM Turbonomic, I can rely on real-time resource optimization that automatically places and scales workloads (both vertically and horizontally) based on actual application demand. This ensures balanced CPU, memory, and storage utilization across clusters, reducing performance bottlenecks and preventing congestion.
For HPC applications, this automation means I no longer have to manually adjust VM resources or reconfigure clusters under changing load conditions. The platform’s ability to move workloads without disruption keeps long-running simulations or compute jobs stable and efficient. As a result, I’ve seen improved throughput, better resource utilization, and lower operational costs, all while maintaining consistent performance levels across compute nodes.
For HPC applications, this automation means I no longer have to manually adjust VM resources or reconfigure clusters under changing load conditions. The platform’s ability to move workloads without disruption keeps long-running simulations or compute jobs stable and efficient. As a result, I’ve seen improved throughput, better resource utilization, and lower operational costs, all while maintaining consistent performance levels across compute nodes.
Reliability and Flexibility in One Package
What do you like best about the product?
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.
What do you dislike about the product?
the time taking environment
What problems is the product solving and how is that benefiting you?
I find IBM Turbonomic invaluable for resolving severe problems, enhancing my career and organization. Its AI and Kubernetes features, along with open-source applications, offer significant problem-solving capabilities and reliability compared to previous tools like Hadoop.
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