Empowering Mainframe Visibility with IBM Z IntelliMagic Vision for z/OS
A leading enterprise sought to enhance the efficiency, reliability, and visibility of its mainframe operations. With growing transaction volumes and complex workloads, the organization needed deeper insight into performance metrics, capacity utilization, and system health — all in real time.
By partnering with Nexright, the enterprise implemented IBM Z IntelliMagic Vision for z/OS, transforming raw performance data into intelligent visualizations and actionable insights. This shift allowed engineering teams to predict capacity issues before they occurred, automate performance reporting, and achieve a higher standard of operational excellence.
Business challenge
As data-driven operations expanded, traditional monitoring tools struggled to keep up with performance demands. Fragmented dashboards and manual data analysis made it difficult to anticipate problems or identify root causes quickly. The lack of holistic visibility resulted in inefficiencies, slower response times, and increased infrastructure costs.
Key Challenges:
- Limited transparency across mainframe workloads and resources.
- Reactive issue resolution instead of proactive system management.
- Manual performance tuning and delayed capacity insights.
- Rising infrastructure costs due to overprovisioning and unoptimized workloads.
The enterprise required an integrated mainframe analytics solution that could consolidate data, predict performance trends, and simplify capacity planning across the z/OS environment.
Solution
Partnering with Nexright, the enterprise deployed IBM Z IntelliMagic Vision for z/OS, an advanced performance analytics platform that provides visual intelligence and proactive insights for mainframe environments. The solution offered end-to-end visibility, predictive capacity management, and automated anomaly detection — enabling smarter, faster operational decisions.
Solution Highlights:
- Visual Performance Analytics: Unified dashboards and reports for workload, memory, CPU, and I/O utilization.
- Predictive Alerts: Automated early warnings for performance degradation and resource contention.
- Proactive Capacity Planning: Data-driven forecasting and modeling for workload growth.
- Root-Cause Correlation: Rapid identification of dependencies and anomalies across subsystems.
Solution components
- IBM Z IntelliMagic Vision for z/OS
- IBM z/OS Performance Data Collector
- IBM OMEGAMON® Data Integration (Optional)
Interactive Visual Dashboards
Enabled real-time visualization of system performance trends with clear, dynamic insights tailored to specific workloads.
Predictive Trend Analytics
Used advanced algorithms to forecast resource usage and identify patterns that might impact capacity planning or SLAs.
Intelligent Automation
Reduced manual analysis through AI-powered alerting, allowing teams to focus on optimization rather than firefighting.
Result
- 35% improvement in operational visibility through unified mainframe performance analytics.
- Faster root-cause resolution, reducing investigation times by up to 40%.
- Optimized system utilization, lowering infrastructure costs and overprovisioning.
- Proactive capacity planning driven by data-backed predictive insights.
IBM Z IntelliMagic Vision for z/OS has given our teams a clear window into mainframe performance. The ability to visualize, analyze, and act on real-time data has made a measurable impact on our operational stability and efficiency.
— Head of IT Infrastructure & Performance Engineering