IBM Turbonomic On-Prem
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Efficient Automation, But Setup Can Be Challenging
What do you like best about the product?
I like IBM Turbonomic for its intelligent automation that automatically rightsizes resources to maintain performance while reducing cloud costs. It continuously analyzes application demand and adjusts CPU, memory, and cloud instance sizes in real time. This helps prevent performance bottlenecks, eliminates over-resourcing, and maintains SLAs.
What do you dislike about the product?
It can be complex to set up, has a learning curve, and licensing can be expensive for larger environments. Setup has been complex due to integration with multiple cloud platforms, hypervisors, and permission configurations. Initial setup is quite challenging because it required configuring integrations, permissions, and policies across environments which took some time to get right.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic automatically optimizes application performance and infrastructure costs, solving issues like over-provisioning and cloud cost waste by rightsizing resources across environments.
Reliable Infrastructure Optimization for Modern DevOps Teams
What do you like best about the product?
I like that Turbonomic goes beyond basic monitoring by providing automated resource optimization. It helps ensure applications get the right amount of CPU and memory, while also avoiding over-provisioning. Its Kubernetes and cloud integrations make it especially useful in modern DevOps environments.
What do you dislike about the product?
The learning curve can feel steep at first, and making sense of all the optimization actions takes some familiarity with infrastructure and Kubernetes. For beginners, the interface and underlying concepts may come across as complex and a bit overwhelming initially.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic helps address over-provisioned and under-utilized infrastructure by continuously analyzing application demand and automatically optimizing how resources are allocated. Rather than manually tweaking CPU, memory, or scaling policies, the platform recommends or can execute actions that keep performance steady while cutting unnecessary cloud and infrastructure costs. For me, this means less time spent on manual tuning and more confidence that my applications are running efficiently without overspending.
AI-Driven Efficiency, But Steep Learning Curve
What do you like best about the product?
I really appreciate how IBM Turbonomic reduces the bill for our clients without them needing to get involved in all the technical details. It's pretty neat how this tool has helped us build trust with our clients, enabling them to scale their companies with more tools from us. In a sort of indirect way, this has boosted growth for both our business and our clients' businesses.
What do you dislike about the product?
So I think the biggest hurdle with it is its steep learning curve and initial configuration complexity which can delay the time-to-value for clients when they always expect instant results. While the core of the platform, which is AI, is really awesome, but the reporting and dashboarding thing is really rigid, making it difficult for me to present some high-level business-centric KPIs that I have to mostly present and is asked for. So I need a lot of manual data work to do while implementing and generating KPIs. Similarly, the licensing cost is really high and tough for those small-scale Salesforce implementations that makes me unable to pitch this tool for them.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic's AI-driven autopilot optimizes resource allocation in real-time, balancing performance and cost-efficiency. It eliminates over-provisioning guesswork, reduces client cloud bills, and maintains high application speed, fostering client trust and business growth while ending 'war room' culture.
AI-Driven Automation That Optimizes Hybrid Cloud Resources with IBM Turbomic
What do you like best about the product?
The AI-driven automation that continuously optimizes resource allocation across our hybrid cloud environment. We used to multiple iterations of performance testing to find the optimised value of CPU, Memory threesholds for our HPA which can be avoided now by leveraging IBM Turbomic in production.
What do you dislike about the product?
Steep learning curve and requires significant configuration time to get started. The interface could be more intuitive for new users. For Eg - Datadogs or ArgoCD dashboards are more intutive.
What problems is the product solving and how is that benefiting you?
For every application or service that we want to deploy, we use HPA for the scaling part in production. We have to do multiple iterations of performance testing to find the threeshold values of CPU and memory utilisation and min, max replica to provide to devops which they can configure in the HPA for the application to scale in production. This is a very resource and cost intensive process as we have to simulate the production traffic scenario multiple times this is replaced by IBM Turbonomic as it directly predicts these values based on previous utilization metrics of other applications and only 1-2 iterations are sufficient to come to the optimum configuarion.
Optimizes Resources with Actionable Insights
What do you like best about the product?
I like IBM Turbonomic for its clear actionable recommendations, not just metrics. I also appreciate how accurate the recommendations are and how confidently we can automate the actions. It helps us with application resource optimization and cost control, right-sizing VMs and containers to prevent performance issues before users notice them and reducing costs by identifying over-provisioned resources. We also use it for capacity planning and automatic resource scaling.
What do you dislike about the product?
The UI feels complex at first and the initial setup time takes more time.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic for application resource optimization and cost control. It helps prevent CPU and memory contention, right-size VMs and containers, and reduce unnecessary costs by identifying over-provisioned resources.
Demand-Driven Autoscaling and Smart Planning in One Place
What do you like best about the product?
some things I like about turbonomic is :
1. It works based on demand. This service not only monitors the infrastructure but also helps in auto scaling. It resizes, scales resources to maintain its performance.
2. A single place from where public clouds like AWS, Azure and Google Cloud can be managed.
3. Instead of just giving us alerts and us handling the job, it executes the actions automatically. Hence reduces the manual effort and speeds the process.
4. The planning features also helps very greatly for migrations, workload growth etc. Very useful for capacity planning and budgeting.
1. It works based on demand. This service not only monitors the infrastructure but also helps in auto scaling. It resizes, scales resources to maintain its performance.
2. A single place from where public clouds like AWS, Azure and Google Cloud can be managed.
3. Instead of just giving us alerts and us handling the job, it executes the actions automatically. Hence reduces the manual effort and speeds the process.
4. The planning features also helps very greatly for migrations, workload growth etc. Very useful for capacity planning and budgeting.
What do you dislike about the product?
1. Initial configuration is bit confusing as we need to configure all the details like apps, VMs, storage, cloud costs etc
2. The dashboards etc have lot of features so the learning requires ample amount of time.
3. The cost of environment and models selected the pricing seems pretty high
2. The dashboards etc have lot of features so the learning requires ample amount of time.
3. The cost of environment and models selected the pricing seems pretty high
What problems is the product solving and how is that benefiting you?
Initially we were facing issues with costly infrastructure and not so efficient applications for teams. Our teams had to manually resize the VMs, try to tweak the cost to usage plans etc. All this problems were very frustrating and time consuming.
IBM Turbonomic helped us solve this issue by continuously monitoring the usage of resources, demands etc and gave the best recommendations for us. By this instead of us guessing the amount of CPU or memory we could use, started making decisions based on data. This data driven decision making helped us a lot in cost reduction. This also helped us in identifying the oversized as well as underutilized services we were using. Overall it helped us in making better decisions and purchasing better plans and model for the organization
IBM Turbonomic helped us solve this issue by continuously monitoring the usage of resources, demands etc and gave the best recommendations for us. By this instead of us guessing the amount of CPU or memory we could use, started making decisions based on data. This data driven decision making helped us a lot in cost reduction. This also helped us in identifying the oversized as well as underutilized services we were using. Overall it helped us in making better decisions and purchasing better plans and model for the organization
Streamlined Optimization with Room for Integration
What do you like best about the product?
I really appreciate the performance-driven resource optimization of IBM Turbonomic because it automatically right-sizes VMs, containers, and cloud instances, keeping applications within SLOs without over-provisioning. I find the single-pane visibility across hybrid and multicloud environments incredibly useful, providing a clear, end-to-end view of applications, VMs, containers, and cloud resources in one place. This makes planning and troubleshooting much faster and eliminates the need to juggle multiple tools and spreadsheets. I also find the initial setup pretty straightforward; if you are using the SaaS version or the Virtual Appliance for on-prem, getting it running is very streamlined.
What do you dislike about the product?
I dislike the limited third-party integrations with IBM Turbonomic. Some users report missing or shallow integrations with certain niche tools or cloud services, which forces manual workarounds or the use of custom scripts.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic for performance-driven resource optimization, solving performance risk, cost waste, and manual ops overhead. It offers single-pane visibility across hybrid/multicloud, making planning and troubleshooting faster by providing a clear view of applications and resources.
Insightful Resource Monitoring with Setup Challenges
What do you like best about the product?
I used IBM Turbonomic to monitor resource usage, ensuring I wasn't billed too much. I appreciate the detailed insights it provides, allowing me to manage my budgets effectively without overextending. I like the real-time workload optimization and automated actions driven by policy, which reduce manual workload and overhead, making things very easy. The resource monitoring feature stands out, and I find the user-friendly insights and detailed data valuable.
What do you dislike about the product?
The learning curve is a bit difficult for beginners. It's challenging to learn initially without more user-friendly interfaces and detailed guidelines. Also, the initial setup is a bit hard, requiring in-depth documentation review.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic to monitor resources, ensuring I manage budgets effectively and get detailed insights without relying on outdated tools. Its real-time workload optimization and automated actions reduce manual overhead, making resource management easier.
Proactive Cloud Optimization with Excellent Resource Management
What do you like best about the product?
I like that IBM Turbonomic keeps applications responsive without any manual testing. It prevents cloud overspend and reduces licensing costs. I appreciate how it continuously analyzes workloads and automatically adjusts the resources so there is no slowdown during traffic spikes. Instead of waiting for alerts or outages, it predicts resource needs and acts before users notice the issue. The setup was easy, which made getting started hassle-free.
What do you dislike about the product?
The dashboard could be more robust. Customization options are limited, and it sometimes doesn't provide the depth of insight needed for complex environments. While it integrates well with major platforms like VMware and AWS, some users find it less flexible with niche or customized applications. The UI can feel dated and somewhat complex. A more modern, intuitive interface with streamlined navigation would make adoption easier, especially for teams new to application resource management.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic helps continuously monitor workloads, automatically adjust resources, keep applications responsive without manual testing, prevent cloud overspend, and reduce licensing costs. It predicts resource needs and acts before users notice issues.
Helpful for Building New Connections and a Strong Knowledge Foundation
What do you like best about the product?
It is helpful in understanding and building new connections and knowledge foundation.
What do you dislike about the product?
Nothing much but need more knowledge about using the product
What problems is the product solving and how is that benefiting you?
The cloud ops is helping a lot to automate things
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