Optimize IBM Z Performance with AI-Powered Analytics
Enhance visibility, prevent risks, and reduce costs with intelligent insights.
Overview of the Product
IntelliMagic Vision for z/OS empowers IT operations with a unified view of IBM Z performance through AI-driven analytics and intelligent dashboards. By transforming raw z/OS metrics into actionable insights, the solution enables organizations to proactively manage infrastructure health, reduce operational risk, and improve system efficiency. Built for hybrid environments and evolving mainframe teams, IntelliMagic Vision accelerates performance optimization while simplifying mainframe management with a no-code, visual interface.
Why Choose IBM Z IntelliMagic Vision for z/OS?
AI-powered health insights analyze over 700 z/OS metrics to prevent failures before they occur.
Automated anomaly detection highlights performance deviations, enabling rapid root-cause analysis.
No-code visualizations and an interactive GUI eliminate the need for extensive coding.
Streamlined access to issue analysis supports both new and experienced analysts.
Identify inefficiencies, reduce resource consumption, and maximize infrastructure ROI.
SaaS deployment allows easy implementation and reduces IT overhead.
What the Numbers say?
Features
Detects and mitigate risks with built-in intelligence.
Identify performance deviations using statistical analysis.
Navigate z/OS performance data effortlessly.
Quickly investigate root causes without coding.
Create tailored visualizations for deep insights.
Correlate data across the entire z/OS environment.
Key Facts
Built-in intelligence surfaces root causes and optimization opportunities.
Rapid deployment and scalable monitoring across hybrid cloud.
Designed for ease-of-use across diverse IT skill levels.
Case Studies
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
What The Users Say
“IBM Z IntelliMagic Vision revolutionized our approach to mainframe performance monitoring. The ability to detect issues proactively and visualize z/OS performance across the infrastructure has significantly improved our operational efficiency.”
IT Infrastructure Manager, Leading Financial Institution
FAQ's
Z IntelliMagic Vision for z/OS is a performance and availability analytics solution designed for IBM z/OS environments. It transforms raw SMF and RMF data into actionable intelligence, helping IT teams proactively identify risks and optimize mainframe health.
It leverages built-in analytics and AI to detect anomalies, predict resource issues, and visualize system bottlenecks. This allows teams to take preventive action before performance degradation or outages occur.
The tool covers performance data from storage (DASD), workload managers, processors, network, tape, and coupling facilities, delivering a holistic view of z/OS system health and interdependencies.
Yes. It helps bridge traditional z/OS systems with modern hybrid cloud initiatives by providing deep visibility into workload performance, enabling better workload placement and cost control.
Unlike raw SMF viewers, IntelliMagic applies built-in intelligence and visualization to the data, allowing faster understanding, prebuilt thresholds, guided root cause analysis, and business impact mapping.
Yes. It automates reporting for capacity planning, SLA adherence, security audits, and system utilization—crucial for governance, especially in finance, insurance, and government sectors relying on z/OS.
It significantly reduces reliance on expert-level manual analysis by automating diagnostics and highlighting abnormal conditions, making mainframe insights more accessible to broader IT operations teams.
Nexright provides integration with SMF/RMF collectors, custom dashboard setup, training for anomaly detection, and performance tuning advisory to ensure mainframe observability delivers business value.
Resources
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