Maximize Performance. Optimize Costs. Automate with Turbonomic.
Unlock intelligent application resource management for unparalleled efficiency across hybrid cloud environments.
Overview of the Product
IBM Turbonomic is a leading AI-powered application resource management (ARM) and cloud optimization software platform. It continuously analyzes application demand and automatically allocates resources in real time to ensure optimal performance, cost savings, and operational efficiency. Designed for complex hybrid multicloud environments, Turbonomic bridges the gap between performance and cost by automating resourcing decisions across on-prem, private, and public clouds—eliminating guesswork, preventing over-provisioning, and reducing cloud waste.
Why Choose IBM Turbonomic?
Ensure peak application performance with AI-driven real-time resource allocation.
Minimize unnecessary cloud costs by dynamically scaling resources based on real-time demands.
Eliminate manual provisioning with intelligent automation that adapts to changing workloads.
Optimize VM density, reduce licensing costs, and lower hardware investments.
Manage resources effortlessly across public, private, hybrid, and multicloud environments.
Predict and prevent application slowdowns with preemptive analytics.
What the Numbers say?
Features
Monitor dependencies from application to infrastructure, including containers and VMs, with AI-powered insights.
Automatically adjust compute, storage, and network allocations based on live demand to ensure consistent performance.
Manage resources across public clouds (AWS, Azure, GCP) and on-prem systems with policy-driven control.
Automate container rightsizing, pod movement, and cluster scaling to reduce waste and improve application speed.
Identify underutilized GPUs and reassign workloads to boost efficiency without compromising latency.
Resize VMs, rebalance clusters, and reduce licensing fees with intelligent automation across virtual environments.
Key Facts
AI-powered automation ensures optimal resource decisions without manual intervention.
Up to 30% reduction in cloud and infrastructure spend with data-driven scaling.
2x application throughput achieved by enterprises using Turbonomic without increasing infrastructure costs.
Case Studies
Achieving Peak Application Performance with IBM Turbonomic
A leading retail enterprise experienced exponential growth in online and hybrid shopping transactions during peak seasons. However, this rapid scale placed immense pressure on its cloud and on-premise environments, leading to inconsistent application performance and resource constraints.
By partnering with Nexright, the company deployed IBM Turbonomic, an AI-powered application resource management (ARM) platform that automatically optimizes compute, storage, and network performance across hybrid and multicloud environments. This implementation delivered measurable improvements in responsiveness, cost control, and infrastructure efficiency.
Business challenge
As demand surged, the company’s infrastructure faced unpredictable workload spikes. Applications needed to perform seamlessly across public cloud, private cloud, and data center environments — all while maintaining strict performance SLAs.
Key Challenges:
- Limited visibility across hybrid workloads and application dependencies.
- Manual scaling decisions leading to overprovisioning and resource waste.
- Performance degradation during high-traffic periods.
- Rising operational costs associated with cloud consumption.
To ensure consistent customer experiences, the company required an intelligent automation platform that could dynamically balance performance and cost in real time.
Solution
Partnering with Nexright, the company implemented IBM Turbonomic, empowering its IT teams to monitor application performance, automate resource allocation, and ensure optimal workload placement across environments. The solution provided end-to-end visibility into resource utilization and automatically executed actions to keep applications performing at their best.
Solution Highlights:
- Application-Centric Optimization: Continuous monitoring and automated resource adjustments based on real-time application demand.
- Hybrid Cloud Automation: Dynamic orchestration of workloads across multiple cloud and on-premise environments.
- Closed-Loop Decisioning: AI-driven insights enabling automatic execution of performance improvements without manual intervention.
- Cost and Capacity Optimization: Reduced cloud waste and improved ROI by aligning infrastructure supply with demand.
Solution components
- IBM Turbonomic Application Resource Management (ARM)
- IBM Cloud Pak® for AIOps (Optional Integration)
Continuous Application Monitoring
Delivered intelligent visibility across cloud and on-prem environments to ensure resource adequacy and system reliability.
AI-Driven Resource Automation
Automatically adjusted compute, storage, and network allocations to match real-time application needs.
Predictive Scaling for Peak Loads
Forecasted traffic surges and proactively allocated capacity during seasonal demand spikes.
Result
- 40% improvement in application response times during high-traffic periods.
- 25% reduction in cloud costs through continuous optimization and automated scaling.
- Improved operational efficiency with closed-loop automation and reduced manual intervention.
- Enhanced resource utilization across hybrid cloud and on-prem workloads.
Turbonomic has transformed how we manage performance and cost across our hybrid environments. Automated actions ensure our applications perform flawlessly, freeing our teams to focus on innovation rather than firefighting.
— Head of IT Operations & Infrastructure
Building a High-Performance Hybrid Cloud with IBM Turbonomic
A leading enterprise operating across a large and complex hybrid cloud sought to ensure maximum performance and cost efficiency across its critical applications. As workloads expanded and cloud consumption increased, manual management was no longer sufficient to maintain scalability, cost control, and speed.
By collaborating with Nexright, the organization implemented IBM Turbonomic, an AI-powered application resource management (ARM) platform. The solution delivered intelligent automation, optimized resource allocation, and real-time performance assurance — helping IT teams achieve sustainable efficiency while freeing up resources for innovation.
Business challenge
The enterprise managed thousands of workloads spanning public cloud, private cloud, and on-premise environments. Maintaining consistent performance during rapid scaling became increasingly complex and time-consuming.
Key Challenges:
- Overprovisioned cloud resources driving unnecessary costs.
- Manual optimization processes unable to match dynamic workload demand.
- Limited visibility into performance metrics across multi-cloud infrastructure.
- Difficulty aligning IT operations with financial and sustainability goals.
To stay competitive, the company needed a solution that could continuously analyze, automate, and optimize cloud and on-prem environments without human intervention — ensuring performance without overspending.
Solution
Partnering with Nexright, the company deployed IBM Turbonomic to enable full-stack, AI-driven resource optimization across hybrid environments. The platform continuously monitored compute, storage, and network utilization, automatically taking actions to keep applications performing at their best.
Solution Highlights:
- AI-Powered Automation: Machine learning models evaluated workload behavior and adjusted resource allocation autonomously.
- Hybrid Cloud Optimization: Automated management of public, private, and on-prem environments under one unified platform.
- Performance at Scale: Delivered consistent application performance even during traffic surges or resource contention.
- Sustainability Alignment: Reduced overprovisioning, lowering both operational costs and environmental impact.
Solution components
- IBM Turbonomic Application Resource Management (ARM)
- IBM Cloud Pak® for AIOps (Optional Integration)
Intelligent Workload Placement
Automatically determined the optimal placement for workloads based on performance requirements, capacity, and cost.
Predictive Resource Scaling
Forecasted resource demand to prevent over-allocation and maintain service-level efficiency.
Continuous Optimization Loop
Analyzed real-time performance and executed recommended actions for sustainable results.
Result
- 36% reduction in cloud spend within the first 30 days of deployment.
- Over 2,000 optimization actions executed automatically, reducing manual effort by over 70%.
- Improved system efficiency and sustained peak performance across critical workloads.
- Enhanced agility allowing IT teams to focus on innovation rather than reactive troubleshooting.
With Turbonomic, we’ve reached a new level of automation and visibility across our hybrid cloud. It enables our systems to self-optimize — ensuring performance, reducing costs, and letting our teams concentrate on building what’s next.
— Director of Cloud Operations & Performance Engineering
What The Users Say
“Turbonomic has drastically improved our cloud cost efficiency and workload automation. Our IT team now focuses on innovation rather than manual resource adjustments.”
CIO, Fortune 500 Company
FAQ's
Turbonomic is an application resource management (ARM) platform that automatically allocates compute, storage, and network resources to applications in real-time to maintain optimal performance.
Unlike monitoring tools that simply alert, Turbonomic analyzes resource consumption and takes proactive actions to prevent performance degradation before it occurs.
It supports on-prem data centers, public clouds (AWS, Azure, GCP), virtualized infrastructure (VMware, Hyper-V), and Kubernetes environments.
Yes. By continuously optimizing workloads and scaling resources up or down automatically, it eliminates overprovisioning and reduces unnecessary cloud spend.
It uses decision engines and real-time analytics, not black-box AI. It provides fully explainable actions based on policies, performance data, and resource metrics.
It provides a single control plane to manage workloads across hybrid environments, enabling consistent performance and cost optimization everywhere.
Yes. It maintains application SLAs by dynamically allocating resources, even during sudden workload spikes or infrastructure failures.
Nexright implements Turbonomic across hybrid IT environments, tunes automation policies, integrates with monitoring platforms, and aligns optimization with business SLAs.
