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IBM Turbonomic

Score8.8 out of 10

300 Reviews and Ratings

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What is IBM Turbonomic?

IBM Turbonomic, now part of the Concert platform, is a performance and cost optimization platform for public, private, and hybrid clouds used by cloud, infrastructure operations, and architecture to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.


One of the key features of IBM Turbonomic is its ability to continuously adjust application resources in real time. By monitoring resource utilization and application performance, Turbonomic prevents performance degradation and overprovisioning. This dynamic adjustment ensures that applications receive the necessary resources when needed, which is crucial for maintaining optimal performance levels. Additionally, the platform automates resource decisions such as scaling and placement, allowing organizations to focus on strategic initiatives rather than manual resource management tasks.


IBM states that Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years over not using a cloud cost optimization solution. For organizations practicing FinOps, IBM Turbonomic helps accelerate the Optimize and Operation phases of the FinOps journey.

Categories & Use Cases

Media

Screenshot of IBM Turbonomic Action Center, where it shows the list of optimization actions across the global environment—on-prem and cloud—that should be taken to minimize cost while assuring performance.
Screenshot of IBM Turbonomic Application, a view that shows the global environment across private and public infrastructure from the context of individual application components. Users can optimize one application at a time by viewing each app's pending actions. The Supply Chain at left shows all of the entities across applications and their interdependencies.
Screenshot of The IBM Turbonomic Cloud Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the cloud cost savings opportunities realized and not yet realized over any time period.
Screenshot of The IBM Turbonomic On-prem Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the savings opportunities realized and not yet realized over any time period.
Screenshot of an IBM Turbonomic Cloud view, where the public cloud environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in the public cloud(s) and their interdependencies.
Screenshot of The IBM Turbonomic On-Prem view that shows the user's private data center environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in data center(s) and the interdependencies between them.
Screenshot of IBM Turbonomic Action Center displaying the Top Actions widget, which highlights the best actions delivering the highest value, top performance, and top savings.

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Screenshot of IBM Turbonomic Action Center, where it shows the list of optimization actions across the global environment—on-prem and cloud—that should be taken to minimize cost while assuring performance.

Key Features

Learn about the best (and worst!) features IBM Turbonomic has to offer, as determined by TrustRadius' reviewers.
Based on 300 ratings of IBM Turbonomic's features
View all features

Top Performing Features

  • Resource Management

    Ability to manage and deliver cloud resources such as resource discovery and tagging, asset and license management and cloud-to-cloud migration

    Category average: 9

  • Automation and Orchestration

    Provision of automated services for application migration, VM images, and configuration management

    Category average: 8.3

  • Cloud Management Performance Monitoring

    Monitoring of storage, network and application performance metrics to achieve business service levels

    Category average: 8.5

Areas for Improvement

  • Cloud Management Security

    Provision of various security capabilities such as Identity Access Management, encryption, and endpoint security

    Category average: 8.1

  • Governance and Compliance

    Risk assessment analysis, audits and resource governance capabilities

    Category average: 8.4

  • Systems Integration

    Integration of internal and external systems to support multi-cloud management

    Category average: 8.2

Reviews

What users are saying about IBM Turbonomic.
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IBM Turbonomic 2026

Incentivized
Eduardo Valadez
Pre Sales in Engineering at Compusoluciones (201-500 employees employees)

Use Cases and Deployment Scope

IBM Turbonomic is not a passive monitoring tool (that only sends alerts); it's an Application Resource Management (ARM) platform that makes real-time decisions. Supply Chain Mapping: Creates a complete topology from the end user and application to the physical hardware (chassis, storage, and network). AI-Driven Decisions: Uses algorithms to determine when to move a workload, when to resize a container, or when to shut down an unused physical server. Closed-Loop Automation: Can be configured to automatically perform actions (e.g., increasing a VM's RAM in the early morning) without human intervention, integrating with approval processes like ServiceNow.

IBM Turbonomic no es una herramienta de monitoreo pasivo (que solo lanza alertas); es una plataforma de Gestión de Recursos de Aplicaciones (ARM) que toma decisiones en tiempo real.Mapeo de la "Cadena de Suministro": Crea una topología completa desde el usuario final y la aplicación hasta el hardware físico (chasis, almacenamiento y red).Decisiones basadas en IA: Utiliza algoritmos para determinar cuándo mover una carga de trabajo, cuándo redimensionar un contenedor o cuándo apagar un servidor físico que no se necesita.Automatización de "Ciclo Cerrado": Se puede configurar para que ejecute las acciones automáticamente (por ejemplo, aumentar la RAM de una VM de madrugada) sin intervención humana, integrándose con procesos de aprobación como ServiceNow.

Pros

  • Managing "Elasticity" in Kubernetes
  • Storage Optimization
  • Arbitrage between Performance and Savings Plans
  • Gestión de la "Elasticidad" en Kubernetes
  • Optimización del Almacenamiento
  • Arbitraje entre Rendimiento y Planes de Ahorro

Cons

  • Complexity in Initial Configuration and "Time-to-Value"
  • Visibility and Management of "Non-Computing" Costs
  • The "Black Box" of AI Decisions
  • Complejidad en la Configuración Inicial y "Time-to-Value
  • Visibilidad y Gestión de Costos "No Relacionados con el Cómputo"
  • La "Caja Negra" de las Decisiones de IA

Return on Investment

  • Financial ROI: Direct Reduction of Expenses
  • Operational ROI: The Time Factor and Automation
  • Impact on Compliance and Agility
  • ROI Financiero: Reducción Directa del Gasto
  • ROI Operativo: El Factor Tiempo y Automatización
  • Impacto en Cumplimiento y Agilidad

Alternatives Considered

Tanzu Observability, VMware Tanzu CloudHealth and Splunk AppDynamics

Other Software Used

IBM Storage Protect, IBM Storage Insights, IBM Storage Scale

Learning curve but excellent for historical data integration and automation.

Incentivized
Verified User
Engineer in Engineering (1001-5000 employees employees)

Use Cases and Deployment Scope

I use Turbonomic to optimize the cloud environment across GCP. As a large public system, we faced the challenge of maintaining performance across a distributed infrastructure while keeping spending under control. Effective resource control is very important to us. Turbonomic helps us maintain consistent performance across a mix of use cases without requiring constant manual intervention.

Pros

  • Makes resource decisions obvious without requiring deep manual analysis.
  • Once data is properly ingested, the reporting gives meaningful baselines over time.
  • Automates decisions that would otherwise require constant human intervention. This freed up IT staff to assist elsewhere.

Cons

  • The UI really takes time to understand. Not very intuitive.
  • Report customization is very limited.
  • Documentation is limited, which slowed adaptation and effective use for us.

Return on Investment

  • On the performance side, having continuous monitoring across our cloud environment means workload disruptions are caught faster.
  • The historical data migration work we undertook was initially a bit painful....but it has paid off in the quality of reporting we can now produce.
  • Busy-season workload was way smoother; we estimated a 20-30-hour reduction in tickets across the department, resulting in overall work hours.

Alternatives Considered

Splunk AppDynamics and Azure Managed Applications

Other Software Used

Snowflake, Slack, Google Analytics, Amazon CloudWatch

Turbonomic puts your FinOps initiatives in turbo mode

Incentivized
Verified User
Consultant in Information Technology (201-500 employees employees)

Use Cases and Deployment Scope

IBM Turbonomic is our option of choice when it comes to applying and recommending application resource management support for different types of organisations and businesses of all sizes across a wide range of industries and verticals. Looking at the last 10-15 years of increasing use of cloud and hyperscaler resources as a self-evident part of the enterprise IT estate and infrastructure, more and more companies come to a realization that there are huge gains - financial as well as performance-wise, to optimize where and when application loads are scheduled, which in turn puts significant focus on where systems of record are hosted, how data is stored and transferred, and associated costs. For us, it's a great complementary tool as part of consulting offering and services, and a strong capability to present as part of FinOps discussions.

Pros

  • Resource and workload discovery
  • Rightsizing virtual machine loads
  • Storage management

Cons

  • Multicloud overview and transparency
  • Automated workload transfers based on FinOps criteria
  • Resource optimization based on real time observability parameters

Return on Investment

  • Turbonomic provides tangible savings in runtime cost and OpEx
  • The analysis and insights provide input to enterprise architecture design and application management
  • The overview and transparency provides input to regulatory compliance insights

Alternatives Considered

IBM Instana

Other Software Used

Unit4 Travel & Expenses, CoPilot, Microsoft 365

Cloud Optimization

Incentivized
Verified User
Consultant in Information Technology (11-50 employees employees)

Use Cases and Deployment Scope

In our organization, we use IBM Turbonomic for Iaas and kubernetes optimization, parking idle instances

Pros

  • Actions Recomdantions
  • Parking
  • Hybrid vision

Cons

  • I think there is room for improvement in IBM Turbonomic for Simple k8s horizontal scaling
  • I think there is room for improvement in IBM Turbonomic for Kubernetes otmiztion cost
  • I think the OCI connection in IBM Turbonomic has room for improvement

Return on Investment

  • One impact IBM Turbonomic has on our overall business objectives is Reduction of cloud consume
  • Another impact IBM Turbonomic has on our overall business objectives is Planning new resources

IBM Turbonomic and Its Functionality

Incentivized
Max Evans
Logistics Coordinator in Product Management at Unify Logistic Solutions (201-500 employees employees)

Pros

  • Automatically adjusts compute, storage, and network resources to maintain application performance without manual intervention or guesswork.
  • Continuously identifies and eliminates overprovisioned resources, helping reduce cloud and data center costs across hybrid environments.
  • Integrates with Kubernetes, VMware, and public clouds to deliver real-time, policy-driven automation for dynamic workloads.

Cons

  • Reporting customization is somewhat rigid, making it harder to tailor dashboards to specific business KPIs or stakeholder needs.
  • The user interface, while functional, feels dated and can be unintuitive for new users navigating complex resource relationships.

Return on Investment

  • Automated resource management reduced manual monitoring efforts by over 60%, freeing up IT staff for strategic initiatives.
  • Rea ttime performance optimization led to a 25% decrease in application downtime, enhancing service reliability for logistics operations.
  • Predictive analytics enabled smarter capacity planning, aligning infrastructure growth with business demand more accurately.
  • Improved overall operational efficiency and improved ROI.

Alternatives Considered

Dynatrace

Other Software Used

IBM watsonx.ai, IBM SevOne, Microsoft 365 Business Premium

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