Sold by: IBM Software
Deployed on AWS
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IBM Turbonomic® automates application resource management in real time, ensuring performance and reducing costs by allocating compute, storage, and network resources.
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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Delivery method
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) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Provides real-time automated resource allocation across compute, storage, and network resources for hybrid multi-cloud environments
Kubernetes Optimization
Automates resource management and enables elasticity across container management platforms with comprehensive Kubernetes environment optimization
Performance Monitoring
Offers complete visualization of application resources from application layer to network levels with real-time performance insights
Multi-Cloud Support
Supports optimization across major public cloud providers and hypervisors with cross-platform resource management capabilities
GPU Workload Optimization
Enables efficient resource allocation and performance optimization for GPU-intensive workloads at lowest computational cost
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
No
No
Customer reviews
4.8
2 ratings
2 AWS reviews
|
268 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Kelvyn F.
Practical and easy-to-use tool
Reviewed on Jul 22, 2025
Review provided by G2
What do you like best about the product?
Ease of configurations and clarity of monitored data
What do you dislike about the product?
Lack of a trial version even with the possibility of testing only small targets. Without the license, we basically cannot test.
What problems is the product solving and how is that benefiting you?
In the clarity of which points to improve within the infrastructure, seeking the best performance and better use of existing resources.
Information Technology and Services
Practical tool
Reviewed on Jul 15, 2025
Review provided by G2
What do you like best about the product?
The tool is very practical and easy to understand,it is possible to connect several providers and obtain better performance
What do you dislike about the product?
the system is sometimes unstable,sometimes recurring
What problems is the product solving and how is that benefiting you?
idle resources and rightsizing
Akshay g.
IBM Turbonomic review
Reviewed on Jun 20, 2025
Review provided by G2
What do you like best about the product?
The AI driven resource optimisation is what help any developer the most to use and the implementation wise is also easy, and also can be very easy integrated to our projects. Have used this feature for more than 2-3 projects and they run everyday.
What do you dislike about the product?
It is bit costly for mostly smaller IT teams and would be more helpful for support on first time onboarding
What problems is the product solving and how is that benefiting you?
I'm using it to manage the resources, AI driven resource management help in cost optimization
AMAL S.
Efficiency and Performance upto the mark
Reviewed on Jun 19, 2025
Review provided by G2
What do you like best about the product?
The user friendly UI.
Easy to use and dynamic.
Easy implementation.
Effective Integration
Easy to use and dynamic.
Easy implementation.
Effective Integration
What do you dislike about the product?
Some integration seems to b difficult, but most of them are possible.
Customer support can be improved.
Customer support can be improved.
What problems is the product solving and how is that benefiting you?
Easy integration and resources on finger tip are major advantages.
Rishabh Kumar m.
Proactive Resource Optimization with IBM Turbonomic
Reviewed on Jun 19, 2025
Review provided by G2
What do you like best about the product?
What I like best about IBM Turbonomic is its ability to automatically analyze real-time application demand and continuously make resource allocation decisions without manual intervention. It doesn't just generate alerts—it takes action based on policies, helping maintain performance while reducing overprovisioning and unnecessary cloud costs. The platform provides deep visibility across hybrid and multi-cloud environments and integrates seamlessly with tools like Kubernetes, VMware, Azure, and AWS. This level of automation and insight drastically improves operational efficiency and service reliability.
What do you dislike about the product?
While IBM Turbonomic is powerful, there are a few areas where it could improve.
First, the user interface can feel overwhelming—especially for new users or teams without prior AIOps experience. Navigating through dashboards and interpreting all the metrics can require a learning curve.
Second, while the platform offers strong automation, customizing those policies or integrating with external systems often needs scripting or more advanced configuration, which may not be ideal for less technical users.
Lastly, the pricing structure may not scale well for smaller organizations or teams with limited IT budgets.
First, the user interface can feel overwhelming—especially for new users or teams without prior AIOps experience. Navigating through dashboards and interpreting all the metrics can require a learning curve.
Second, while the platform offers strong automation, customizing those policies or integrating with external systems often needs scripting or more advanced configuration, which may not be ideal for less technical users.
Lastly, the pricing structure may not scale well for smaller organizations or teams with limited IT budgets.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic helps us solve the challenge of ensuring application performance while keeping infrastructure costs under control—especially in complex, hybrid cloud environments.
Before using Turbonomic, we often dealt with overprovisioned cloud resources, manual scaling decisions, and reactive responses to performance issues. Now, Turbonomic automatically analyzes real-time application demand and continuously allocates the right resources at the right time.
This proactive resource management has led to:
Improved application performance and stability
Reduced cloud and on-prem infrastructure costs
Less time spent firefighting or tuning workloads manually
Greater visibility into resource utilization across our stack
Before using Turbonomic, we often dealt with overprovisioned cloud resources, manual scaling decisions, and reactive responses to performance issues. Now, Turbonomic automatically analyzes real-time application demand and continuously allocates the right resources at the right time.
This proactive resource management has led to:
Improved application performance and stability
Reduced cloud and on-prem infrastructure costs
Less time spent firefighting or tuning workloads manually
Greater visibility into resource utilization across our stack