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    IBM Turbonomic Application Resource Management SaaS

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    Deployed on AWS
    Free Trial
    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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    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

    Delivery method

    Deployed on AWS

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    Features and programs

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free according to the free trial terms set by the vendor.

    IBM Turbonomic Application Resource Management SaaS

     Info
    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.

    12-month contract (1)

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    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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    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.

    Usage information

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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.

    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.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    25
    In High Performance Computing
    Top
    10
    In Business Intelligence & Advanced Analytics
    Top
    100
    In Infrastructure as Code

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    11 reviews
    Insufficient data
    0 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    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

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.8
    2 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    50%
    50%
    0%
    0%
    0%
    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.
    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
    Tiago M.

    Turbonomic Assessment

    Reviewed on Jun 30, 2025
    Review provided by G2
    What do you like best about the product?
    Turbonomic is a tool that brings automations focused on infrastructures and FinOps and facilitates the creation of guardrails and good governance in the environment, whether cloud or on-premises. This is the first thing we think of when working with Turbonomic.
    What do you dislike about the product?
    Widgets and reports can be better handled, with the possibility of an ETL without using ThoughtSpot. And improve the SWAGGER documentation of the Turbonomic API.
    What problems is the product solving and how is that benefiting you?
    The first item is IT governance, especially regarding K8s, which offers automated resizing options.
    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
    What do you dislike about the product?
    Some integration seems to b difficult, but most of them are possible.
    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.
    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
    View all reviews