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