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Configuration Utilization Evaluator

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Product Overview

Configuration Utilization Evaluator (CUE) was designed to monitor and analyze the performance of z/OS mainframe systems. Its architecture included data collection agents, a central processing component, and reporting tools. The agents gathered performance data, which was then processed and presented in reports.

CUE collected data on CPU utilization, I/O channel activity, device performance, SVC usage, queue lengths, and disk head movements. CUE used system commands and proprietary interfaces to gather performance data. It likely supported basic authentication methods and an access control model based on user roles and permissions.

While CUE is no longer supported, organizations should consider migrating to modern alternatives like BMC MAINVIEW, IBM Z Performance and Capacity Analytics, or CA SYSVIEW Performance Management. These solutions offer enhanced features, integration capabilities, and continued vendor support. Migration involves deploying new monitoring agents, configuring data collection parameters, and adapting reporting processes to the new platform.

These modern tools often use REST APIs for integration and support protocols like SNMP.

Frequently Asked Questions

What was the primary function of Configuration Utilization Evaluator?

Configuration Utilization Evaluator (CUE) provided detailed performance metrics for mainframe systems, focusing on resource utilization. It helped identify bottlenecks and optimize system performance by analyzing CPU usage, channel activity, and device performance.

What types of data did CUE collect?

CUE collected data on CPU utilization, I/O channel activity, device performance, SVC usage, queue lengths, and disk head movements. This data helped administrators understand how system resources were being used and identify areas for improvement.

On what platforms did CUE operate?

CUE was primarily used on z/OS (formerly OS/390) mainframe systems. It was designed to monitor and analyze the performance of these systems to ensure efficient resource utilization.

How could the data from CUE be used to improve system performance?

CUE's data could be used to optimize system configuration, tune application performance, and identify hardware upgrades needed to meet performance goals. By understanding resource utilization, administrators could make informed decisions to improve overall system efficiency.

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