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