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C/TREK

Circle Software Not Supported z/OS zVSE/VSEn
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Product Overview

C/TREK's architecture comprised several key components: data collection agents, a data processing engine, and a reporting interface. The data collection agents, residing within the CICS environment, utilized CICS monitoring APIs to gather performance metrics such as CPU usage, I/O operations, and transaction response times. These agents collected data at predefined intervals and transmitted it to the data processing engine.

The data processing engine, typically running on the z/OS system, processed the collected data, performed calculations, and stored the results in a VSAM or other z/OS storage mechanism. The reporting interface provided users with access to the processed data through customizable dashboards and reports. Configuration files were used to define monitoring parameters, thresholds, and reporting options.

The tool supported integration with z/OS security products for authentication and authorization. However, C/TREK is no longer supported. Organizations should consider alternative solutions like IBM CICS Performance Analyzer or BMC MainView for CICS, which offer similar architectural components and integration capabilities.

Frequently Asked Questions

What is C/TREK?

C/TREK is a CICS performance monitoring tool designed to provide insights into CICS transaction performance. It helps identify bottlenecks and optimize resource utilization within a CICS environment.

How does C/TREK monitor CICS transactions?

C/TREK monitors CICS transactions by collecting data on various performance metrics, including CPU usage, I/O operations, and response times. This data is then analyzed to identify areas for optimization.

What kind of reporting does C/TREK offer?

C/TREK provides reports and dashboards that display key performance indicators (KPIs) and allow users to drill down into specific transactions or resource usage. These reports can be customized to meet specific monitoring needs.

How can C/TREK improve CICS performance?

C/TREK can help improve CICS performance by identifying slow-running transactions, inefficient resource allocation, and other performance bottlenecks. This allows administrators to make informed decisions about system tuning and optimization.

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