Sold by: IBM Software
Deployed on AWS
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AWS Free Tier
IBM Turbonomic® automates application resource management in real time, ensuring performance and reducing costs by allocating compute, storage, and network resources.
4.5
Overview
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Automate cloud spend decisions and boost ROI
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IBM Turbonomic Cloud Optimization Demo
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IBM Turbonomic Kubernetes Optimization Demo
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IBM Turbonomic - Maximize the potential of VMware
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G2 Badges for IBM Turbonomic
IBM Turbonomic facilitates advanced, app-centric, demand-driven analysis that enables secure automation across hybrid multi-cloud environments. It helps businesses transform their operations by managing cloud costs, optimizing Kubernetes, unlocking better GPU utilization, and containing costs by rightsizing and increasing host density in hypervisors.
Continuously optimize spend across various cloud environments
- Optimize cloud spend while assuring application performance by automating resource provisioning. You can plan cloud migrations and optimize on-premises workloads before determining the optimal cloud configuration. Supports all major public clouds.
Put VMware optimization on autopilot
- Automate virtualized, private, and hybrid cloud infrastructures maximizing performance and data center investments.
Supports all major hypervisors.
Maximize ROI of next-generation Kubernetes platforms
- Optimize Kubernetes environments by automating resource management, unlocking elasticity at every layer.
Supports all major container management platforms.
Unlock true performance with GPU optimization
- Optimize GPU workloads at the lowest cost for resource-intensive workloads.formaximum efficiency without sacrificing performance.
Highlights
- Automates responses to performance issues by addressing resource utilization and overprovisioning to prevent issues before they happen
- Complete visualization of your application resources from the application layer to network levels to understand the underlying compute, storage and network resource health
- Real-time insights that empowers teams to make informed decisions to ensure applications have the resources they need when they need them
Details
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Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Turbonomic SaaS | price for 200 managed virtual servers | $37,909.82 |
Vendor refund policy
All orders are non-cancellable and all fees and other amounts that you pay are non-refundable. If you have purchased a multi-year subscription, you agree to pay the annual fees due for each year of the multi-year subscription term.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
IBM Turbonomic for AWS Marketplace offers robust support options designed to build customer confidence and ensure successful deployment and operation. Here are some key details:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By IBM Software
By VMware Tanzu CloudHealth
Top
25
In High Performance Computing
Top
10
In Business Intelligence & Advanced Analytics
Top
100
In Infrastructure as Code
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Resource Management Automation
Real-time automated allocation and optimization of compute, storage, and network resources across hybrid multi-cloud environments
Multi-Cloud Infrastructure Support
Comprehensive support for major public clouds, hypervisors, and container management platforms with cross-environment optimization capabilities
Performance Monitoring
Continuous visualization and analysis of application resources from application layer to network levels with proactive performance issue detection
Kubernetes Resource Optimization
Automated resource management and elasticity optimization for Kubernetes environments across different container platforms
GPU Workload Efficiency
Advanced optimization techniques for resource-intensive GPU workloads to maximize performance and efficiency
Cloud Resource Management
Provides comprehensive visibility and analysis of multi-cloud infrastructure across dynamic business groups
Policy Automation
Implements dynamic policy engine for automated governance, resource management, and continuous environment optimization
Cost Optimization Engine
Generates tailored recommendations for resource rightsizing, reserved instance management, and infrastructure efficiency
Multi-Cloud Analytics
Supports comprehensive data analysis and reporting across multiple cloud environments with customizable reporting capabilities
Anomaly Detection
Enables detection and monitoring of unusual resource consumption, budget deviations, and potential infrastructure risks
Autonomous Resource Optimization
AI/ML-powered continuous optimization of Kubernetes workloads and clusters through intelligent scaling of memory, CPU, and replica sets
Machine Learning-Based Remediation
Real-time predictive issue detection and autonomous remediation actions to maintain system availability and performance
Performance Intelligence
Automated performance scoring for releases, tracking changes in latency and error rates with intelligent feedback mechanisms
SLA/SLO Management
Autonomous SLO target definition, error budget management, and performance optimization to prevent downtime and service breaches
Cloud Resource Purchasing Strategy
Intelligent identification and selection of optimal cost combinations between spot instances, on-demand, and savings plans based on predicted traffic behavior
Standard contract
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No
Customer reviews
Information Technology and Services
Automated Recommendations That Cut Cloud Costs Effortlessly
Reviewed on Nov 25, 2025
Review provided by G2
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.
Sourav B.
Keeps Apps Running Smoothly and Cuts Cloud Costs
Reviewed on Nov 21, 2025
Review provided by G2
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
Shivam K.
Transforms Cloud Resource Management Seamlessly
Reviewed on Nov 21, 2025
Review provided by G2
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.
Computer & Network Security
Intuitive UI and Smart Recommendations Deliver Impressive Cost Savings
Reviewed on Nov 20, 2025
Review provided by G2
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
Information Technology and Services
Clear Resource Insights with Helpful Cost Optimization, But Room for Improvement
Reviewed on Nov 20, 2025
Review provided by G2
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.