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IBM Turbonomic

Score8.4 out of 10

323 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.

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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.

IBM Turbonomic Key Features

Learn about the best (and worst!) features IBM Turbonomic has to offer, as determined by TrustRadius' reviewers.
Based on 323 ratings of IBM Turbonomic's features
View all IBM Turbonomic 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: 9.1

  • Automation and Orchestration

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

    Category average: 8.7

  • Cloud Management Performance Monitoring

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

    Category average: 8.2

Areas for Improvement

  • Governance and Compliance

    Risk assessment analysis, audits and resource governance capabilities

    Category average: 8.3

  • Cost Management

    Provision of tools for cloud instance rightsizing and user chargeback and billing

    Category average: 8

  • Systems Integration

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

    Category average: 7.7

Who Buys & Uses IBM Turbonomic

IBM Turbonomic Reviews

What users are saying about IBM Turbonomic.
View all IBM Turbonomic reviews

Pros

  • Automated resource optimization and rightsizing
  • Significant cost reduction in cloud and on-prem environments
  • Improved application performance and system reliability

Cons

  • Complex initial configuration and setup
  • Challenging and dated user interface
  • Limited reporting and dashboard customization

Tremendous Turbonomic

Adam TuchschererView profile
IT Exec in Finance and Accounting at Capitalize Consulting (51-200 employees)

Use Cases and Deployment Scope

We use IBM Turbonomic to hep manage our network and servers/storage and provide alerts and real time analysis for out IT and outsourced IT resources to manage our VMs and storage machines for our organization. It is allowing us to do more with less IT resources when it comes to managing our network and various IT applications.

Pros

  • Real Time Analysis
  • Reporting & Analytics
  • Alerts and AI Automation

Cons

  • More configuration on Dashboards & Reports
  • Agentic Bots

Return on Investment

  • Better Control on IT Assets
  • Control Around Optimizing IT Spend
  • Reporting & Analysis on IT Landscape Has Improved

Alternatives Considered

Dynatrace and Datadog

Other Software Used

Workday Adaptive Planning, UiPath Automation Platform, Alteryx Platform

IBM Turbonomic 2026

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

IBM Turbonomic Visibility, Optimization, and Operational Efficiency

Incentivized
Frank Rios
Systems Analyst in Information Technology at Wise Vision (51-200 employees)

Use Cases and Deployment Scope

Recently, the client used the IBM Turbonomic tool due to difficulties optimizing resource utilization, which led to incidents on critical operating days. To address this, they decided to implement IBM Turbonomic, as it allows them to automate decisions and improve process efficiency.

Recientemente, el cliente ha utilizado la herramienta IBM Turbonomic debido a la dificultad para optimizar el uso de sus recursos, lo que ha provocado incidentes en días operativos críticos. Para solucionar esta situación, decidió implementar IBM Turbonomic, ya que le permite automatizar decisiones y mejorar la eficiencia de sus procesos.

Pros

  • Automatic resource optimization
  • End-to-end visibility
  • Decision automation
  • Cost savings in the cloud and on-premise
  • Optimización automática de recursos
  • Visibilidad de extremo a extremo
  • Automatización de decisiones
  • Ahorro de costos en la nube y on-premise

Cons

  • Initial learning curve: Although it is a powerful tool, some users find the interface complex at first.
  • Customized reports: It could be improved in terms of flexibility to generate reports better tailored to specific needs, with easier data export.
  • Advanced integrations: While it connects with multiple platforms, in certain hybrid environments it lacks deeper or automated integrations that would further facilitate management.
  • Curva de aprendizaje inicial: Aunque es una herramienta potente, algunos usuarios encuentran compleja la interfaz al inicio.
  • Reportes personalizados: Podría mejorar en la flexibilidad para generar reportes más adaptados a necesidades específicas, con mayor facilidad en la exportación de datos.
  • Integraciones avanzadas: Si bien se conecta con múltiples plataformas, en ciertos entornos híbridos faltan integraciones más profundas o automatizadas que faciliten aún más la administración.

Return on Investment

  • Cost savings: Spending on cloud infrastructure was reduced by 20% thanks to automatic resource adjustment and the elimination of over-provisioning.
  • Improved availability: Incidents on critical days were reduced, achieving a 15% increase in the stability of key applications.
  • Operational efficiency: The time spent by the team on manual tasks of monitoring and adjusting resources was reduced by 30%.
  • Ahorro de costos: Se redujo el gasto en infraestructura en la nube en un 20% gracias al ajuste automático de recursos y la eliminación de sobredimensionamiento.
  • Disponibilidad mejorada: Se disminuyeron incidentes en días críticos, logrando un aumento del 15% en la estabilidad de aplicaciones clave.
  • Eficiencia operativa: Se redujo en un 30% el tiempo dedicado por el equipo a tareas manuales de monitoreo y ajuste de recursos.

Alternatives Considered

IBM SevOne and IBM Cloud Pak for AIOps

Other Software Used

IBM SevOne, IBM Cloud Pak for AIOps, IBM Instana

Turbonomics obs.

Incentivized
Verified User
Manager in Information Technology (1001-5000 employees)

Use Cases and Deployment Scope

We leveraged Turbonomics to proactively identify and address potential resource issues within our OpenShift cluster. By analyzing the insights provided, we aimed to implement automated solutions to mitigate resource contention and ensure optimal performance across the cluster. Furthermore, we utilized Turbonomics to accurately estimate the costs associated with migrating our virtual machines to various cloud providers, including Azure and AWS. This comprehensive approach enabled us to make informed decisions and strategically plan our cloud migration efforts.

Pros

  • Turbonomics is easy to deploy.
  • Provides quick and clear visualization of infrastructure resource usage.
  • Allows for “What if” scenario estimation.
  • It has a user-friendly interface.

Cons

  • Improve the task automation process in Kubernetes clusters.
  • The price is high.
  • It does not provide integration with Elasticsearch.

Return on Investment

  • Improved Resource Utilization (+20%)
  • Automated rightsizing and workload placement ensured more efficient use of compute and storage resources, reducing waste and maximizing capacity.
  • Enhanced Application Performance (+10%)
  • Dynamic CPU/memory adjustments prevented bottlenecks, leading to measurable improvements in responsiveness and uptime
  • Reduced Infrastructure Budget (−5%)
  • Automated shutdown of idle VMs and resizing of oversized workloads translated directly into lower operational costs.
  • Automation Benefits
  • Automation eliminated manual resource monitoring and resizing, allowing IT teams to focus on strategic initiatives rather than repetitive tasks.

Alternatives Considered

VMware vSphere and Veeam ONE

Other Software Used

VMware vSphere, Zabbix, IBM Instana, Red Hat OpenShift, IBM i

Eliminate cloud spends with automated process.

Incentivized
Verified User
Employee in Information Technology (10,001+ employees)

Use Cases and Deployment Scope

Resource manager for the Maximo application suite & watsonx data load. Maximo instance & Kafka streams run on OpenShift, along with a heavy analytical workload for watsonx. Turbonomic ensures performance while minimizing cloud spend.

Pros

  • Automated scaling in OpenShift. Since we use Maximo, a workload-heavy application, we gave it plenty of headroom for CPU & RAM. Then Turbonomic took over, automatically downsized it, and saved costs. There is no guessing game anymore.
  • Performance spikes during full shifts are very common. Thousands of concurrent users access the application and perform operations, and Turbonomic scales seamlessly to avoid hiccups.
  • Helps plan and migrate cloud apps. It can simulate workloads to determine the required resources.

Cons

  • Bit of learning curve & the UI can be a bit simpler than current.

Return on Investment

  • Reduced cloud spend by about 20%. Scaling down idle system time by reducing hardware has helped a lot.
  • Some engineering hours were saved each week because we had to manually scale up during peak production.

Other Software Used

IBM Maximo Application Suite, Azure Red Hat OpenShift

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