This course provides the fundamentals of z/OS performance management for systems programmers and performance analysts. Specific topics will focus on the basics of performance management, resources components that are affected, and the workload manager definitions that will be used to assign resources according to priorities. In addition, exercises related to problem diagnosis and tuning adjustments will be used to illustrate the effects of various decisions.
Mainframe Training Audience
Systems programmers and performance analysts that need a better understanding of performance management, performance metrics, and the means for defining resource distribution using Workload Manager (WLM)
Workstations are needed for this session.
Mainframe Training Prerequisites
z/OS Fundamentals or equivalent knowledge.
Mainframe Training Course duration
5 days
Mainframe Training Course outline
Performance Management Overview
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Define elements of performance tuning
Examine basic queuing models
Interpret results of queuing theory models
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System Components of Tuning: Processor
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Evaluate processor power ratings
Examine key processor metrics
Review data gathering methods for processor metrics
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System Components of Tuning: Memory
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Review paging/swapping mechanism
Examine real, expanded, and auxiliary storage metrics
Review data gathering methods for storage metrics
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System Components of Tuning: I/O
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Review I/O subsystem components
Examine I/O metrics
Review data gathering methods for I/O metrics
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Workload Characterization
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Review processes for grouping comparable workloads
Establishing workload objectives
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Managing System Resources
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Service class definitions:
Importance levels
Execution velocity
Response time goals
Performance Index
Classification rules
Setting exception conditions
Resource groups
CPU/storage critical settings
Service coefficients and options
Service coefficients
I/O priority management
Dynamic alias management
Applications environment
Specifying and managing application environments
Server limits for application environment
Scheduling environments
Specifying scheduling environments
Managing resource states
WLM managed initiators
Intelligent Resource Director
LPAR CPU Management
Dynamic Channel Path Management
Channel Subsystem Priority Queuing
Workload licensing limits
SMF type 99 records
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Monitoring and Tuning Systems
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Diagnose various performance problems
Examine tracking mechanisms available through RMF
Review performance reporting and data interpretation
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