![Pardeep J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pardeep J.") PJ Pardeep J. Software Engineer Computer Software Enterprise (\> 1000 emp.) 5/15/2026 "Advanced Infrastructure Optimizer with challenging configuration requirements." 4/5 What do you like best about IBM Turbonomic? As a Software Engineer who collaborates with both the Development and the SRE teams, I find Turbonomic to be a valuable tool as it grants visibility and strategic insight to our hybrid cloud infrastructure, which is composed of both AWS and on-prem VMware. Our architecture is complex, as we focus on building internal enterprise applications such as our Human Resource Management System (HRMS), as well as our fully automated billing system. The architecture also utilizes microservices along with Node.JS and Python. Before Turbonomic, it was mostly guesswork when managing resources for the environments we provisioned. We had to provision more CPU and Memory than required to work around latency issues during peak times. Turbonomic’s solution offers a considerable amount of information pertaining to the resources and how they impact the applications. The solution has also aided managing a lot of things related to Kubernetes pods. It doesn’t show us a single hot node and call it a day. It shows us the various automations it can carry out to ‘remove’ some resource burden by allocating pods and nodes dynamically. It also addresses the gaps between engineering and operations. If we have to deploy a resource-intensive billing system, the operations team can examine the dependency mapping to understand how the new system impacts the overall infrastructure and what trade-offs can be made in the systems to accommodate the new billing system. Review collected by and hosted on G2.com. What do you dislike about IBM Turbonomic? We can expect this to take considerable time to set up as a connector to all your tools, spanning APM, cloud service providers, Kubernetes, vCenter, etc. In addition, gathering the many alerts and recommendations produced by the system will take considerable time. The system will become very pushy and nagging if the recommendations are not acted on. For example, one of the recommendations was to downscale a certain number of workers to optimize the cloud resources. One of the workers was used to process background tasks. The recommendation was based on the worker being underutilized on average, but it was actually downscaled the worker that processed the tasks. If time is not spent continually to manage the system, then the system will have to be configured to operate without any automation. The user interface is probably the biggest hurdle for the non-technical members of the team, and probably the most overwhelming facet of the system, namely that it is not user friendly and gives little indication of your overall system performance versus your cloud costs. Review collected by and hosted on G2.com. What problems is IBM Turbonomic solving and how is that benefiting you? The principal problem that Turbonomic addresses for us is eliminating the waste of resources while consistently meeting performance thresholds. In an enterprise environment, the default engineering thinking when there is a problem is to just throw more hardware at the issue. With Turbonomic, we have objective data to more accurately determine the correct size for AWS instances and the container resources we need. Our monthly cloud billing has gone down noticeably due to the more accurate sizing. The manual monitoring burden on our DevOps engineers has significantly decreased. In the past, our engineers would need to spend hours looking at the Grafana dashboards for resource bottlenecks. With Turbonomic, the DevOps engineers can be reallocated to more productive activities like application development. The burden of resource monitoring has been taken off of our engineers and placed on Turbonomic, which is a more accurate monitoring solution. Our engineers can focus on the business priorities and core applications instead of dealing with resource allocation and planning activities with much less engagement with the infrastructure planning teams. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite See what 288 reviewers think of IBM Turbonomic 4.4 out of 5 · Verified reviews from real users [ Read all reviews ](https://www.g2.com/products/ibm-turbonomic/reviews)