List of IBM Turbonomic Customers
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Since 2010, our global team of researchers has been studying IBM Turbonomic customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased IBM Turbonomic for Application Performance Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using IBM Turbonomic for Application Performance Management include: Providence Health, a United States based Healthcare organisation with 122000 employees and revenues of $31.40 billion, J. B. Hunt Corp., a United States based Transportation organisation with 33045 employees and revenues of $12.17 billion, Capita, a United Kingdom based Professional Services organisation with 34500 employees and revenues of $3.13 billion, Komatsu, a United States based Manufacturing organisation with 17300 employees and revenues of $2.30 billion, Carhartt, a United States based Retail organisation with 4500 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using IBM Turbonomic, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Capita | Professional Services | 34500 | $3.1B | United Kingdom | IBM | IBM Turbonomic | Application Performance Management | 2020 | n/a |
In 2020, Capita deployed IBM Turbonomic as an Application Performance Management solution. The implementation addressed a heterogeneous hosting estate of 11,100 workloads, with 5,100 on premises and 6,000 in the public cloud, while the infrastructure organization worked to standardize tools and governance after successive acquisitions.
IBM Turbonomic delivered a single operational view across on premises and public cloud hosting platforms and provided application centric performance metrics that allowed the team to model application topologies end to end. Capita configured Turbonomic to automate VM placement initially, then extended automation to right placement and right sizing, and now relies on Turbonomic automation and AI to fully manage their BAU RDS platform that supports hosting estates, client environments, networks and storage platforms.
Operational coverage included infrastructure operations and BAU teams responsible for service delivery across Capita’s divisions, with Turbonomic feeding application topologies into day to day capacity and placement decisions. The implementation reduced dependence on manual spreadsheets and reactive intervention by shifting routine placement and sizing decisions into an automated control loop, enabling engineers to focus on service improvement and platform management.
Governance and rollout followed a cautious automation first approach to build operational trust, with the infrastructure team validating VM placement actions before expanding automation more broadly. Capita continues to expand Turbonomic use cases to include forecasting future builds and migrations, and automated server builds on premises and in the cloud, tying the IBM Turbonomic Application Performance Management capability directly to infrastructure operations and ongoing service governance.
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Carhartt | Retail | 4500 | $1.0B | United States | IBM | IBM Turbonomic | Application Performance Management | 2022 | n/a |
In 2022, Carhartt deployed IBM Turbonomic to manage hybrid cloud performance and prepare for seasonal traffic surges such as Black Friday. The deployment targeted application performance and infrastructure resourcing across Carhartt's e-commerce front end and back-end systems for inventory and loyalty, aligning with the Application Performance Management category.
IBM Turbonomic was configured to deliver application-centric analysis and prescriptive automation, including Java heap size adjustments, VM hardware right-sizing, powering off low-use systems, VM consolidation, and automated VM placement. Carhartt has fully automated VM placement with IBM Turbonomic and began integrating Turbonomic-driven resizing into ServiceNow workflows to operationalize prescriptive remediation.
The implementation stitched together the complete application stack by integrating IBM Turbonomic with AppDynamics for closed-loop performance feedback and with ServiceNow for workflow orchestration. The architecture covered Carhartt's hybrid cloud footprint and initial Microsoft Azure public cloud deployments as the IT organization pursued a 100% public cloud target by 2022.
Operational ownership rested with the IT infrastructure and security organization under VP Tim Masey, with Senior Systems Engineer Gary Prindle driving installation and rules-based automation. Explicit results reported by Carhartt included a 15% improvement in resource utilization through automated VM replacement and a 45% efficiency improvement in the Microsoft Azure environment while assuring workload performance, and the team prevented performance issues during the holiday season.
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J. B. Hunt Corp. | Transportation | 33045 | $12.2B | United States | IBM | IBM Turbonomic | Application Performance Management | 2019 | n/a |
In 2019, J. B. Hunt Corp. implemented IBM Turbonomic as part of a rearchitecture of its J.B. Hunt 360 platform, which included Shipper 360 and Carrier 360 to improve usability and accelerate time to market. The deployment followed a cloud adoption phase that began in 2018 when J. B. Hunt migrated roughly 25 percent of on prem workloads to Microsoft Azure, creating a hybrid environment that required holistic visibility to size workloads correctly and eliminate sustained overprovisioning. IBM Turbonomic was employed as an Application Performance Management solution to deliver that visibility and to drive AI powered resourcing decisions across mixed infrastructure.
IBM Turbonomic was configured to provide full stack visibility and actionable resourcing recommendations across on prem VMware and Microsoft Hyper V hosts and across Azure resources. The implementation automated non disruptive actions 24x7 for on prem systems and scheduled scaling for non production assets during nightly maintenance windows. Over a 12 month period Turbonomic executed nearly 2,000 resizing actions, and the team reported that those actions freed up approximately 650 hours based on the stated manual intervention time per action.
Operational integrations included an IT Service Management webhook that created change records for every scaling action, establishing an auditable change trail as automation executed. In Azure the team operated a mixed model of recommendations plus automated actions, using automated execution in lab and test environments while enforcing a production governance step where Turbonomic recommendations were shared with stakeholders for sign off before execution. After approval Cloud Operations moved resources into policy groups that enabled automatic future execution, and Turbonomic surfaced container sizing discrepancies that informed application rearchitecture discussions with application owners.
Governance and workflow changes centered on formalizing the review and sign off process for production changes, creating automated change records, and defining policy driven paths from recommendation to automated execution. The Turbonomic deployment also supported later cloud migration planning, enabling the team to size workloads prior to a major Google Cloud migration in 2021, a migration executed in 35 business days with zero downtime according to reported details. This implementation connected IBM Turbonomic Application Performance Management to capacity planning, cloud operations, and application performance governance across J. B. Hunt Corp.
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Komatsu | Manufacturing | 17300 | $2.3B | United States | IBM | IBM Turbonomic | Application Performance Management | 2019 | n/a |
In 2019 Komatsu deployed IBM Turbonomic to provide Application Performance Management for its shift to the public cloud and to address chronic visibility and resourcing gaps in infrastructure operations. The deployment targeted hybrid cloud cost optimization and performance assurance as Komatsu migrated on-premises workloads to Microsoft Azure, and it was positioned to reduce manual firefighting and enable proactive resourcing decisions.
IBM Turbonomic was implemented to deliver full-stack visibility and AI-powered resourcing recommendations across compute, storage and database layers. The team initially validated recommendations via manual execution, then configured a mixture of automated resourcing actions and scheduled execution windows to apply changes with minimal business impact. Turbonomic evaluates IOPS, DTU consumption, CPU and memory relationships to produce recommendations that consider cross-layer dependencies.
Operational coverage centered on the Azure tenant where IBM Turbonomic executes automated actions to optimize servers, storage and databases, and to support reserved instance planning. Komatsu used IBM Turbonomic to identify overprovisioned workloads, right-size instances, implement reserved instances and in some cases decommission servers, while application owners were engaged through data-driven remediation proposals.
Governance incorporated predetermined time blocks for automated actions and a hybrid operating model that retained manual execution where needed, eventually allowing IBM Turbonomic to act autonomously for a large portion of the estate with minimal IT oversight. Outcomes reported include reducing user complaints to about 10 to 12 tickets per year, cumulative cloud savings exceeding USD 650,000 and average server run rate reductions of 33 percent or more through reserved instances, demonstrating measurable cost and performance alignment from the Application Performance Management deployment.
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Providence Health | Healthcare | 122000 | $31.4B | United States | IBM | IBM Turbonomic | Application Performance Management | 2020 | n/a |
In 2020, Providence Health deployed IBM Turbonomic as an enterprise control layer to introduce AI powered resource management across its multi cloud estate. Providence Health implemented IBM Turbonomic in the Application Performance Management category to provide application aware optimization and operational control for cloud infrastructure and workloads across AWS, Azure and GCP.
The IBM Turbonomic deployment focused on automated resource management and application stack visibility, configured to observe and act on compute, memory and network signals to reduce contention and maintain application performance. Turbonomic was positioned alongside infrastructure automation tooling, with Terraform used for provisioning and Azure Hub and Spoke topology serving as the core network architecture for Azure workloads.
Integrations in scope included the three public cloud providers AWS, Azure and GCP, cloud storage and protection platforms such as Azure NetApp Files and Rubrik, and the Azure DevOps intake and engagement portal used for cloud requests. Operational coverage extended to enterprise cloud engineering and operations, and to workloads associated with a large datacenter migration of roughly 200 mission critical applications, 450 virtual machines and 560 terabytes of data.
Governance and rollout emphasized process change through a centralized cloud intake workflow and an Azure DevOps portal, with a deliberate shift in cloud strategy from IaaS toward PaaS and SaaS models. IBM Turbonomic was introduced as AI powered resource management software that manages the complete application stack automatically, and it was embedded as a control plane for ongoing capacity planning, policy driven automation and application performance assurance.
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Buyer Intent: Companies Evaluating IBM Turbonomic
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| IGBMC | Professional Services | 570 | $70M | France | 2025-11-13 | |
| FedEx | Transportation | 50000 | $87.7B | United States | 2025-07-16 | |
| Red Hat | Professional Services | 19000 | $6.4B | United States | 2025-05-28 |