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.
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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Pricing
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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.
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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.
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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.
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By IBM Software
By VMware Tanzu CloudHealth
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Real-time Resource Automation
Automates application resource management in real time by addressing resource utilization and overprovisioning to prevent performance issues before they occur across compute, storage, and network resources.
Multi-cloud Cost Optimization
Optimizes cloud spend across all major public clouds through automated resource provisioning, supporting cloud migration planning and on-premises workload optimization.
Kubernetes Resource Management
Automates resource management in Kubernetes environments across all major container management platforms, enabling elasticity optimization at every layer.
Hypervisor Infrastructure Optimization
Automates virtualized, private, and hybrid cloud infrastructure management across all major hypervisors through rightsizing and host density optimization.
GPU Workload Optimization
Optimizes GPU workloads for resource-intensive applications by balancing performance and cost efficiency through automated resource allocation.
Multi-Cloud Cost Visibility
Report and analyze cloud spend across multiple cloud providers with dynamic business grouping and custom reporting capabilities.
Resource Optimization and Rightsizing
Provide recommendations for infrastructure rightsizing and management of Reserved Instances and Savings Plans to eliminate wasted spending.
Policy-Based Governance Engine
Implement dynamic policies and automated actions to enforce continuous optimization, including resource termination, budget adherence, and anomaly detection.
Infrastructure Analysis and Reporting
Analyze cloud infrastructure through customizable business groups with rich data visibility for multi-cloud environment management.
Cost Chargeback and Showback
Enable accurate cost allocation and billing transparency through customizable chargeback and showback mechanisms for multi-cloud environments.
Agentless Discovery and Profiling
Agentless data collector provides application discovery, infrastructure resource utilization tracking, workload profiling, and dependency mapping without requiring agent installation.
Workload Placement and Migration Planning
Delivers application migration intelligence including infrastructure right-sizing recommendations, cloud instance suggestions, migration complexity analysis, and cross-cloud cost forecasting.
Cloud Cost Optimization
Continuous bill analysis with real-time alerting on unexpected cost changes, per-instance visibility into programmatic discounts and data transfer fees, and proactive saving recommendations.
Policy-Based Right-Sizing Engine
Advanced 'What If' analysis engine enables management of performance, risk, and cost balance through policy-based right-sizing decisions.
Multi-Tenant Microservices Architecture
Secure, federated, multi-tenant platform built on microservices and containers-based architecture for modularity, scalability, and flexibility across hybrid cloud environments.
Standard contract
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Customer reviews
Teja C.
Effortless Resource Optimization, High Impact
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
I like that IBM Turbonomic automatically takes the right actions to balance application performance and infrastructure cost without manual intervention. Unlike many tools that only provide alerts or dashboards, Turbonomic actually executes actions like rightsizing CPU and memory, scaling workloads, or reallocating resources based on real-time application demand. This reduces manual effort and reactive firefighting significantly. I also appreciate that Turbonomic is application-centric in its decision-making, meaning it focuses on application performance rather than just infrastructure metrics. This ensures that cost optimization never comes at the expense of user experience or SLAs. The fact that it delivers real, measurable value by automatically optimizing resources and has a strong focus on application performance builds trust with engineering teams and has a proven impact on cost reduction, stability, and operational efficiency. Additionally, I appreciate how it reduces manual effort and ongoing firefighting for infrastructure teams.
What do you dislike about the product?
While IBM Turbonomic is a powerful optimization platform, there are a few areas where it could be better or has room for improvement: 1. Initial Setup and Onboarding Can Be Complex: Getting Turbonomic up and running with the right policies, access permissions, and automation levels takes time and effort—especially in large or highly regulated environments. Teams often need structured guidance and training to avoid misconfigurations early on. 2. Steep Learning Curve for Advanced Features: Some of the advanced capabilities (such as custom policies, complex what-if scenarios, and governance controls) aren’t immediately intuitive. There’s a learning curve that requires time investment from infrastructure or cloud engineers.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic to automatically optimize compute, storage, and network resources, ensuring application performance and reducing cloud cost waste by preventing over-provisioning. It proactively resolves resource bottlenecks, preventing performance issues before they impact users.
Mahesh Kumar Reddy S.
Intuitive UI, Excellent Resource Optimization
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
I think the UI of IBM Turbonomic is very clear and even beginners can easily navigate and work with it. It's really helpful for new users to configure and understand all the features available on the UI. The product provides very clear recommendations for resource optimization, especially helping in optimizing CPU and memory. It improves resource efficiency, even in cloud environments.
What do you dislike about the product?
The initial setup was moderate and not very simple, especially for first-time users. It required a proper understanding of the infrastructure and integrations. During the implementation, we faced challenges in configuring the integrations with our existing environments. The UI can feel a bit volumetric initially, but proper planning and documentation review help to sort out these issues.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic helps us optimize CPU and memory, improving resource efficiency and reducing provisioning costs in the cloud.
Industrial Automation
Actionable Automation That Prevents Bottlenecks in Real Time
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
Actionable Automation: I like that it doesn't just give alerts; it executes real-time actions to prevent performance bottlenecks.
Reduced Manual Effort: It eliminates the "firefighting" by automatically right-sizing VMs and moving workloads before issues impact users.
Trusted Decisions: The AI-driven recommendations are accurate enough to move from "manual approval" to "full automation" quickly.
Reduced Manual Effort: It eliminates the "firefighting" by automatically right-sizing VMs and moving workloads before issues impact users.
Trusted Decisions: The AI-driven recommendations are accurate enough to move from "manual approval" to "full automation" quickly.
What do you dislike about the product?
Steep Learning Curve: The platform is incredibly powerful, but it takes significant time for new users to understand the dashboards and navigate the complex resource relationships.
Complex Initial Configuration: Setting up the tool and tuning it to specific workloads can be a lengthy process, especially in large-scale hybrid or multi-cloud environments.
Aggressive Recommendations: Sometimes the AI-driven suggestions feel too aggressive; you often need to manually validate them before trusting the "auto-execute" feature.
Complex Initial Configuration: Setting up the tool and tuning it to specific workloads can be a lengthy process, especially in large-scale hybrid or multi-cloud environments.
Aggressive Recommendations: Sometimes the AI-driven suggestions feel too aggressive; you often need to manually validate them before trusting the "auto-execute" feature.
What problems is the product solving and how is that benefiting you?
Problem: We struggled with "over-provisioning" (wasting money on extra cloud capacity) and manual "firefighting" during traffic spikes.
Benefit: It solved this by automating the "rightsizing" of our environment. This has cut our cloud costs by 30% and freed up our engineers from doing repetitive manual adjustments, allowing them to focus on development instead of maintenance
Benefit: It solved this by automating the "rightsizing" of our environment. This has cut our cloud costs by 30% and freed up our engineers from doing repetitive manual adjustments, allowing them to focus on development instead of maintenance
Mohammed F.
Efficient Cloud Cost Optimization, Needs Better Security
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
I like how IBM Turbonomic helps identify redundant instances or servers that can be deleted or are underutilized in the cloud. The setup was pretty straightforward, and I appreciate using it across all multi-cloud environments. I find that the AI is good and is genuinely valuable for cloud cost optimization and analyzing multi-cloud platforms to optimize cost and vulnerabilities.
What do you dislike about the product?
I think IBM Turbonomic could improve by adding a vulnerability detection system. Also, while the AI is good, it needs improvement with handling security threats.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic for cloud cost optimization. It analyzes multi-cloud platforms to optimize cost and identifies redundant instances or servers that can be deleted. This helps in removing unused resources and improving efficiency.
Shripad P.
Intelligent, Easy-to-Integrate Performance Assurance
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
I think I like it because it’s intelligent, offers continuous performance assurance, and is easy to integrate.
What do you dislike about the product?
It comes with a high cost, significant complexity, and a steep learning curve for new users.
What problems is the product solving and how is that benefiting you?
It solves application performance, capacity, and cost inefficiencies in complex hybrid and multicloud environments by automating resource management.