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Product Overview

C/Prof is designed to analyze CICS application performance by leveraging the existing CICS internal trace. It identifies performance bottlenecks and resource contention within CICS applications without requiring code modifications. The architecture relies on the CICS internal trace facility for data collection.

C/Prof analyzes transaction execution paths and resource usage, providing insights into application performance. The main components include: * **Trace Data Collector:** Captures CICS internal trace data. * **Analysis Engine:** Processes trace data to identify performance bottlenecks.

* **Reporting Module:** Generates reports and displays performance analysis results. Communication between components is primarily through CICS internal mechanisms. C/Prof does not directly interact with external databases or storage mechanisms beyond those accessed by the traced CICS transactions.

Configuration involves setting trace levels within CICS. Security is managed through CICS security mechanisms. Competing products include Omegamon for CICS and Dynatrace APM.

C/Prof distinguishes itself by focusing specifically on CICS internal trace data for analysis and its tight integration with the CICS environment.

Frequently Asked Questions

What is the primary function of C/Prof?

C/Prof analyzes CICS transaction performance by leveraging the CICS internal trace. It identifies performance bottlenecks and resource contention within CICS applications.

How does C/Prof collect performance data?

C/Prof uses the CICS internal trace to gather data. It does not require modifications to application code. The analysis focuses on transaction execution paths and resource usage.

What types of performance problems can C/Prof identify?

C/Prof identifies long-running transactions, excessive CPU consumption, I/O bottlenecks, and contention for CICS resources such as enqueue locks and temporary storage.

How does C/Prof present performance analysis results?

C/Prof provides reports and displays that highlight performance bottlenecks. Users can drill down into transaction execution paths to pinpoint the root cause of performance issues.

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