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FCON/ESA

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Product Overview

The architecture of FCON/ESA comprised several key components: * **Data Collection Component:** This component was responsible for gathering performance metrics from the z/VM system. It collected data on CPU usage, memory allocation, I/O operations, and network activity. * **Data Storage Component:** This component stored the collected performance data.

The storage mechanism was not explicitly defined in the available documentation, but it likely involved files or system-level data structures. * **Reporting Component:** This component generated reports based on the stored data. Users could generate reports through the CLI, specifying various parameters to customize the output.

The reports provided insights into system performance. Communication between these components was likely handled through internal z/VM system calls and data structures. FCON/ESA did not expose any APIs for external integration.

The tool relied on the z/VM system's security features for authentication and access control. There were no built-in encryption or audit capabilities within FCON/ESA itself. The Performance Toolkit for VM is the recommended replacement.

Frequently Asked Questions

What was the primary function of FCON/ESA?

FCON/ESA was a performance monitoring tool for z/VM systems. It provided real-time and historical data on system resource utilization. The tool helped administrators identify performance bottlenecks and optimize system performance.

What types of data did FCON/ESA collect?

FCON/ESA collected data on CPU usage, memory allocation, I/O operations, and network activity. This data was used to generate reports and provide insights into system behavior. The tool allowed for the identification of performance issues.

On which platforms did FCON/ESA operate?

FCON/ESA was designed to run on z/VM systems. It was integrated with the z/VM operating system to gather performance metrics. The tool leveraged z/VM's monitoring capabilities.

What types of analysis did FCON/ESA support?

FCON/ESA provided both real-time monitoring and historical data analysis. Real-time monitoring allowed for immediate identification of issues, while historical data was used for trend analysis and capacity planning. The tool offered both views.

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