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Manage MQ performance for z/OS with IBM Z IntelliMagic Vision for z/OS

Manage MQ queue managers and activity with IBM Z IntelliMagic Vision for z/OS

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IBM Z® IntelliMagic Vision for z/OS® enables performance analysts to manage and optimize their z/OS MQ configurations and activity more effectively and efficiently, and proactively assess the health of their queue managers.

 

Total Economic Impact of IBM Z IntelliMagic Vision for z/OS
IBM enables performance analysts to manage and optimize their z/OS storage
Benefits

Benefits

Proactively analyze and prevent risks

Access built-in health insights that rate hundreds of critical metrics to proactively identify risks to your application health and performance. AI-derived anomaly detection highlights statistically significant changes, accelerating problem-solving.

Save time and quickly resolve issues

Use thousands of out-of-the-box reports combined with a powerful, intuitive GUI, real-time comparisons and editing, and context-sensitive drill-down capabilities to maximize time spent preventing and resolving issues. Minimize downtime without the need for custom coding.

Expedite learning and enhance domain expertise

Augment the effectiveness of staff with interactive, customizable and shareable dashboards, built-in explanations and extensive drill downs. Use AI as a force multiplier to expedite learning, promote collaboration and enhance analytical effectiveness.

What's included

IBM Z IntelliMagic Vision for z/OS provides an effective way to focus your analysis and generate interactive reports. You can use context-sensitive drill downs to facilitate rapid and focused access to MQ data to manage, tune and optimize your environment.

Automatic health assessments for queue manager Profile queue manager workloads Buffer pool utilizations MQ logging infrastructure View activity by queue name
Proactively assess key queue manager metrics to enhance availability Responsive performance from MQ relies on data in memory, so buffer pool management is important. IBM Z IntelliMagic Vision for z/OS automatically assesses every buffer pool in every queue manager to identify areas for investigation and presents them in red, yellow or green. Drill-down capabilities facilitate further analysis.

 

CPU by workload drivers CPU per MQ call Compare and correlate multiple metrics Isolate message length profiles by CICS transactions AIOps through cloud delivery
Breakout MQ CPU by workload drivers Another level of detail that is found in the MQ accounting data is the type of work calling MQ (“connection type”). In this example, the two primary drivers of MQ CPU are work arriving from CICS and channel initiators.

Resources

Resources

Total Economic Impact of IBM Z IntelliMagic Vision for z/OS

Forrester Consulting conducted a Total Economic Impact™ (TEI) study that expands on the benefits of IBM Z Intellimagic Vision for z/OS for organizations in terms of risk reduction, hardware, productivity and cost savings, and better performance management.

Sample MQ statistics and accounting dashboards

View dashboard analysis for system performance, revealing correlations between metrics such as CPU usage, batch work, buffer pool performance and more.

MQ Performance Optimization with SMF Data Insights

Learn best practices for enhancing your analysis of MQ Statistics (SMF 115) and Accounting (SMF 116) data, addressing challenges such as data volumes and siloed tooling to unlock the full potential of MQ insights.

Deriving Insights from SMF 115 MQ Statistics Data

Optimize MQ performance by analyzing SMF 115/116 data, monitoring buffer pools, and using IBM Z IntelliMagic Vision for proactive insights.

Boost the value that you derive from MQ SMF data through a modernized approach

Explore modernizing MQ SMF data analysis for improved insights. Discover intuitive interfaces and dynamic drill downs into MQ statistics and accounting data, enhancing problem-solving with rated health assessments and interactive analysis.

Using zHyperWrite to Improve MQ Logging Performance

zHyperWrite improves MQ logging performance by speeding up mirroring and halving response times, resulting in a 54% improvement in a large MQ environment.

Take the next step

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