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Product Overview

GoalTender's architecture is centered around two main components: the Tracker started task and the GoalTender batch job. The Tracker component is responsible for continuously monitoring the z/OS system and collecting performance data related to WLM. It gathers metrics such as CPU utilization, I/O activity, and response times for various workloads.

The Tracker writes this data to shared datasets, which are then used by the GoalTender batch job. The GoalTender batch job processes the data collected by the Tracker. It reads the data from the shared datasets and generates detailed reports that provide insights into WLM performance.

These reports include recommendations for optimizing WLM settings to improve resource utilization and meet service level agreements (SLAs). The communication between the Tracker and GoalTender occurs through shared datasets. The Tracker writes performance data to these datasets, and the GoalTender batch job reads this data to generate reports.

The reports are typically formatted as printed output or datasets. The system utilizes z/OS logging mechanisms for auditing. Security is managed through the z/OS security system, such as RACF, which controls access to datasets and system resources.

The administrative interface is primarily through the z/OS console and JCL. There is no GUI or web console available.

Frequently Asked Questions

What is GoalTender?

GoalTender is a z/OS tool designed to monitor and report on Workload Manager (WLM) performance. It provides insights into system resource utilization and helps optimize WLM settings for improved application performance. It consists of two components: Tracker and GoalTender.

When was GoalTender first released?

GoalTender was initially released by Watson & Walker in 2004. It has been used by z/OS system administrators to monitor and tune WLM configurations.

What are the main components of GoalTender?

GoalTender consists of two main components: Tracker, a started task that monitors system performance, and GoalTender, a batch job that generates reports based on the collected data. These components work together to provide a comprehensive view of WLM performance.

How does GoalTender improve z/OS system performance?

GoalTender helps in identifying performance bottlenecks, optimizing resource allocation, and ensuring service level agreements (SLAs) are met. It provides data-driven recommendations for adjusting WLM settings.

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