IBM Turbonomic
Trusted automation to assure performance with Turbonomic
IvaraX Analysis
IBM Turbonomic is an AI-powered application resource management platform that automates the optimization of compute, storage, and network resources across hybrid and multicloud environments. It differentiates itself by executing automated, policy-compliant actions rather than simply providing recommendations, backed by IBM's enterprise support and documented customer success stories.
Key Strengths
- +Moves beyond recommendations to automated, auditable actions with policy enforcement
- +Comprehensive coverage spanning VMs, containers, Kubernetes, and GPU workloads
- +Strong documented customer outcomes including 15% computing cost savings and significant licensing cost reductions
- +Backed by IBM's enterprise infrastructure, support ecosystem, and continued investment
- +Robust integration capabilities with existing enterprise toolchains and cloud platforms
Ideal For
- →Large enterprises managing complex hybrid and multicloud infrastructure
- →Organizations running substantial Kubernetes and containerized workloads requiring cost optimization
- →IT teams seeking to reduce manual resource management while maintaining performance SLOs
- →Companies with significant VMware investments looking to optimize licensing costs and utilization
Things to Consider
- !As an enterprise-focused solution backed by IBM, pricing and complexity may be oriented toward larger organizations
- !Maximum value requires willingness to enable automated actions rather than just monitoring
- !Organizations should evaluate integration requirements with their specific technology stack before implementation
About IBM Turbonomic
IBM Turbonomic is an enterprise-grade application resource management platform designed to optimize performance and costs across hybrid and multicloud environments. As part of IBM's technology portfolio, Turbonomic leverages AI-driven automation to continuously analyze and adjust compute, storage, network, and GPU resources in real time, ensuring applications meet their service level objectives while eliminating overprovisioning and waste. The platform provides full-stack visibility across applications, containers, virtual machines, and infrastructure, mapping dependencies and resource flows to surface risks before they impact performance. Unlike traditional monitoring tools that only provide recommendations, Turbonomic executes safe, policy-driven actions automatically—from pod scaling in Kubernetes to VM placement in VMware—enabling IT teams to operate at enterprise scale without manual intervention. Turbonomic addresses critical IT challenges including data center optimization, Kubernetes cost management, cloud performance optimization, and AI workload management. The platform integrates natively with major cloud platforms, hypervisors, container orchestration systems, APM tools, and ITSM solutions through REST APIs and webhooks, allowing organizations to optimize workloads without disrupting existing application stacks.
Why Choose IBM Turbonomic
- Automated execution of optimization actions, not just recommendations, with policy-driven controls and full auditability
- Proven ROI of up to 247% according to Forrester Total Economic Impact study
- Full-stack visibility across hybrid, multicloud, and containerized environments with real-time dependency mapping
- Native integrations with major cloud platforms, VMware, Kubernetes, APM tools, and ITSM systems
- Enterprise-scale performance assurance that maintains SLOs under dynamic conditions
Services
Application Resource ManagementData Center OptimizationKubernetes Cost OptimizationCloud Performance OptimizationAI Workload OptimizationCloud Migration Planning
Technologies
KubernetesVMwareREST APIsWebhooks
Tech Stack(detected from website)
KubernetesVMwareREST APIsWebhooksMulti-cloud platforms (AWS, Azure, GCP)Container orchestrationGPU computing infrastructure
Industries Served
Notable Clients
Hyland SoftwareIBM CIO OfficeAPIS ITIBM TechZone
Categories
Company Info
- Headquarters
- US
