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Oracle WebLogic 10g R3 Performance Tuning
WebLogic Training Objectives

At the completion of this course, the student will be able to
  • Understand the principles of performance tuning
  • Understand the principles of performance tuning
  • Understand the various components that affect overall system performance
  • Understand basic terminology like throughput, bottleneck and burstiness
  • Analytically and scientifically perform load tests to assess and improve performance
  • Configure and tune WebLogic Server to performance best practices
  • Understand how both the Sun and JRockit JVMs interact with WebLogic Server
  • Use WebLogic Server and JVM provided performance tools to observe JVM performance
  • Configure and tune the Java Virtual Machine memory settings for optimal performance
  • Understand (and configure) the impacts of threads, JDBC and JMS on performance
  • Understand clustering architecture
WebLogic Training Topics

  • Performance Tuning Foundations
  • Tuning the Sun HotSpot JVM
  • Tuning the Oracle JRockit JVM
  • Threads and Work Managers
WebLogic Training Audience

WebLogic Server administrators, developers and consultants who want to know how best to tune a WebLogic Server environment for high performance production environments.

WebLogic Training Prerequisites

Familiarity with basic WebLogic Server administration.

WebLogic Training Course duration

1 Day

WebLogic Training Course outline

1. Foundation

  • Objectives
  • List of Terms
  • Load
  • Active Load
  • Concurrent Load
  • Peak Load
  • Think time
  • User Ramp Up
  • Throughput
  • Throughput Curve
  • The significance of throughput
  • Response time
  • Response Time Curve
  • Saturation
  • Response time at system saturation
  • Response time past the buckle point
  • Interpreting response time trends
  • Performance Acceptance Criteria
  • Measure your system s steady state
  • Path length
  • Bottleneck
  • Dealing with a bottleneck
  • Scaling
  • Horizontal and vertical scaling
  • Analyze before trying to scale
  • Calculating QA User Count
  • Accommodating QA User Count
  • Scaling Up QA Configuration
  • Basic Tuning Methodology
  • Bottom Up and Top Down Testing
  • Bottom Up Testing
2. Performance Tuning Techniques
  • Topics
  • Basic Methodology
  • Problem Areas
  • CPU utilization
  • The Components of CPU Usage
  • Measure CPU utilization everywhere
  • Symptoms of underutilization
  • What causes underutilization?
  • Network capacity problem?
  • Synchronization problem?
  • Slow external resource?
  • Is the test pushing the system hard enough?
  • Does your system scale?
  • Symptoms of burstiness
  • Test driver synchronization problem?
  • Slow back-end systems?
  • Slow garbage collection?
  • Timeout problems?
  • Erratic network traffic?
  • Symptoms of over utilization
  • High User CPU
  • High System CPU
  • High Wait CPU
  • Load balancer configured correctly?
  • Plan of attack
3. JVM Memory Management
  • Objectives
  • Java Heap Space
  • Heap Size Limits
  • Default Size Limits
  • Garbage Collection Basics
  • Allocation Failure (AF)
  • Garbage Collection Mechanism
  • GC Performance Improvements
  • Generational Garbage Collection
  • Thread Local Heap (TLH)
  • Memory Tuning Goals
  • Steady State Heap Size
  • Analyzing Steady State Behavior
  • Effect of Initial Heap Size on GC
  • Optimizing GC Duration
  • Summary
4. JRockit1.6 Memory
  • Objectives
  • Compatibility Note
  • Generational GC
  • Dynamic GC Modes
  • GC Strategy
  • Thread Local Heap (TLH or TLA) Configuration
  • Tuning TLH
  • Tuning Compaction
  • Summary
5. Threads and Work Managers
  • Overview
  • Threads
  • Historically
  • Thread Pool
  • Work Manager
  • Work Manager Road Map
  • Defining A Work Manager
  • Classes/Constraints
  • Request Class: Fair Share
  • Request Class: Response Time
  • Context Request
  • Constraints
  • Creating A Class/Constraint
  • Associating Class and Manager
  • Using A Work Manager
  • Deploy the Application
  • Socket Readers
  • Native I/O

Contact Information
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Fax: 707-598-2268
Email: sales@wintrac.com

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