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The Java Performance Tuning Course
Special One-Time Course Offering

ExitCertified is bringing renown Java Champion Kirk Pepperdine from Europe to deliver the Java Performance Tuning Course to North America.

Java Performance Course - Training

In our Java Performance Tuning Course, you will learn a blend of tuning methodology, performance theory and practical tips on solving difficult performance problems. You will have an opportunity to hone your skills on a series of labs that are derived from real problems found during our consulting experience. The tools are all freely available or open source and will equip you to immediately apply what you have learned in your workplace.

Audience

Java developers and Quality Assurance engineers

Prerequisites

Intermediate level knowledge of Java Standard Edition (JSE) versions 1.6 and beyond. Familiarity with the Java Enterprise Edition (JEE)

Objectives

The object of this course is to:

	how to apply rigor to the task of performance tuning
	how to setup a performance tuning environment
	importance of the user experience
	tools needed to conduct a performance investigation
	benchmarking and micro-benchmarking
	Java memory and execution models

Code:	JavaPerformanceTuning
Length:	4 Days
Type:	Instructor-Led / Hands-On

Tuition:	$2950 / student $2500 / student - special JavaONE attendee rate

San Francisco	June.8.2009 - June.11.2009

Section 1 - Introduction

defining performance
identifying causes of poor performance
introduction to aspects of performance tuning

Section 2 - Performance Tuning Methodology

introduction to “The Box”, an abstraction of a computer system
hardware’s role in performance
JVM and operating systems role in performance applications role in performance
actors role in performance
activities as defined by the layers in “The Box”
performance testing workflow
using the dominate consumer to identify bottlenecks
role of hardware
role of JVM/OS role of application
no dominating consumer
role of tooling

Section 3 - Time

responsiveness
how to measure time
logging to monitor performance
common performance problems

Section 4 - Day 2 Memory

System level monitoring
Memory management
Garbage collection algorithms
Heap tuning

Section 5 - Performance Testing

objectives
types
components
differences between closed and open test harnesses
performance testing environment performance testing pitfalls
performance testing goals
GUI testing
web based performance testing
introduction to Apache JMeter
test doubles for performance

Section 6 - Monitoring Hardware

important components of hardware to monitor
hardware monitoring tools for CLM
Unix/Linux monitoring
introduction to vmstat
case studies of how different performance problems show up in vmstat
relating vmstat output to application code
Windows monitoring

Section 7 - Java Memory Management

process organization
JVM heap organization (Sun and IBM)
reference counting
tracing collectors
hemispheric collectors
generational collectors
parallel and concurrent collectors
G1 collector
GC ergonomics
effects of OS and hardware on GC
escape analysis
Non-Uniform Memory Access (NUMA)
switches affecting JVM memory management

Section 8 - Object Life-cycles

some terminology
finialization
reference objects and collection rules
soft
weak
phantom
ReferenceQueue
WeakHashMap

Section 9 - Monitoring Garbage Collection

JVM flags for monitoring GC (Sun, IBM)
GC log record format
Secondary information hidden in GC logs
GC sequential overhead
GCViewer
HPJMeter

Section 10 - Interprocess communications

RMI tracing
socket tracing
JDBC Monitoring

Section 11 - Threading

Java support for threading
Synchronization explained
Synchronized statement and keyword
Producer consume with performance implications of choices
Little’s Law
reducing lock contention
Java 5 locking optimizations

Section 12 - Java Management eXtentions

review of JMX based tools
Defining your own MBeans for performance monitoring
defining an mbean
adding attributes and operations
hooking an mbean into the notification framework
AttributeBundles

Section 13 - Profilers

role of profiling
profiling techniques
JVMTI
types of profiling mapped to “The Box”
Execution profiling
memory profiling
thread profiling
prof
hprof
HPJMeter
NetBeans Profiler
when to use which profiler
effects of Object pooling
diagnosing memory problems
loitering object
leaking object
permspace leaks

Section 14 - Performance Tactics

effects of human perception
tuning strategy
influences on performance
big gains quickly
latency
CPU bottlenecks
I/O bottlenecks
memory bottlenecks
garbage collection tactics
heap sizing
“The Box” as a profiling guide

Section 15 - Benchmarking

introduction
sources of benchmarks
macro and microbenchmarks
dangers of benchmarking
accounting for interfering factors
a bad benchmark
developing a micro-benchmark
performance tuning a benchmark
role of statistics in benchmarking
benchmark validation
macro-benchmarking
test harness validation
importance of randomization
effects of queues
consistency

Section 16 - Collections

coding style for custom implied collections
Review of standard 1.5 collection types
introduction to non-blocking collections

Section 17 - Serialization

purpose and performance implications
review of serialization
optimizing serialization


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