The course will concentrate on the taking an integrated approach to performance management by addressing the z/OS e-business perspective. Elements to be explored will focus on Workload Manager functions, the parallel sysplex, and UNIX system services and how each can be monitored and managed for optimum performance

Mainframe Training Audience

Course is designed for performance analysts or systems programmers that have a need for a better understanding about the mechanisms and data available for performance management in the e-business environment.

Mainframe Training Prerequisites

Basic understanding of the z/OS Operating System, WLM, and UNIX system services.

Mainframe Training Course duration

4 days

Mainframe Training Course outline

0z/OS E-business Overview
	z/OS architecture and enhancements Applications and functionality extended by z/architecture
Parallel Sysplex Concepts and architecture
	Examine the components of a parallel sysplex and the performance issues which are unique to that environment. Review the architecture and operation of the coupling facility Discuss configuration choices and impact on performance
SYSPLEX Performance Considerations
	Overhead calculations for parallel sysplex operation Examine Coupling Facility signaling performance and the factors that may affect throughput Establish Coupling Facility sizing and tuning requirements Review performance considerations for Couple data sets Evaluate tuning options for XCF/XES services Examine XCF and CF RMF Reports
Workload Manager (WLM) Considerations
	Workload managers and WLM services Enclave reporting and managament Examine application environments Determine requirements for Resource Affinity Scheduling and Scheduling environments Understanding workload balancing algorithms WLM classification rules for applications
UNIX System Services
	USS environment and controls Hierarchical File System (HFS) performance considerations Displaying USS information WLM considerations for USS
Websphere
	Websphere architecture Version 5 Performance information and recommended values WLM considerations HTTP server classification and monitoring