Pro Java EE 5 Performance Management and Optimization

By: Steven Haines

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Hardcover | 1 April 2006

At a Glance

Hardcover
432 Pages

Dimensions(cm)
23.5 x 17.78 x 1.91

Hardcover

$89.99

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Pro Java EE 5 Performance Management and Optimization features proven methodology to guarantee top-performing Java EE 5 applications, and explains how to measure performance in your specific environment. The book also details performance integration points throughout the development and deployment lifecycles that are crucial for application success.

For quality assurance and preproduction stages, this book guides you through testing and optimally deploying your Java EE 5 applications, with a focus on assessing capacity and discovering saturation points. It defines the concept and application of wait-based tuning--one of the most effective approaches to application server tuning.

The book also helps you assess and improve the health of your applications upon deployment. The topics covered include trending, forecasting, and capacity assessing and planning. When production issues arise, you'll be armed with troubleshooting methodology and solutions to common problems that have been observed in real-world environments. This book even guides you through the creation of a formal Java EE 5 performance management plan customized to your environment to help you interpret and react to changing trends in usage patterns.

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Non-Fiction Computing & I.T.Computer Programming & Software Development Object-Oriented Programming or OOP Web Programming Programming & Scripting Languages Software Engineering

About the Author	p. xv
About the Technical Reviewer	p. xvii
Acknowledgments	p. xix
Introduction	p. xxi
Fundamentals
An Introduction to Application Performance Management	p. 3
Impact of Poor Performance	p. 4
Complications in Achieving Application Performance	p. 6
Evolution of Java Applications	p. 6
Layered Execution Model	p. 7
Prebuilt Frameworks	p. 9
Java EE Expertise	p. 10
Development Tools	p. 10
Service-Oriented Architecture and Web Services	p. 11
Application Performance	p. 13
Java EE Performance Problems	p. 14
Application Performance Management	p. 15
APM in Architecture	p. 15
APM in Development	p. 16
APM in QA	p. 17
APM in Preproduction	p. 18
APM in Production	p. 19
The Role of the Java EE System Administrator	p. 19
Application Server Topology Configuration	p. 20
Application Server Tuning	p. 20
Application Deployment	p. 21
Application Production Integration	p. 21
Capacity and Scalability Assessment	p. 22
Trending, Forecasting, and Capacity Planning	p. 22
Application Production Troubleshooting and Triaging	p. 23
Summary	p. 24
Quantifying Performance	p. 25
Defining Performance	p. 25
End-User Response Time	p. 26
Request Throughput	p. 26
REsource Utilization	p. 27
Application Availability	p. 29
Before Quantifying Performance Requirements	p. 29
SLA Stakeholders	p. 29
SLA Properties	p. 29
Measuring Performance	p. 30
Acquiring Data	p. 31
Interpreting Data	p. 32
Costs of Measuring Performance	p. 35
Mitigating the Cost of Performance Monitoring	p. 37
Improving Performance	p. 37
Building a Performance Test Plan	p. 38
Know Your Users	p. 38
Performance Testing Phases	p. 40
Summary	p. 45
Performance Measurements	p. 47
Performance Measurement Prerequisites	p. 47
Performance Monitoring and Management Using Java Management Extensions (JMX)	p. 50
JMX Architecture	p. 51
JSR 77 Architecture	p. 53
Obtaining Application Server Metrics	p. 56
Obtaining Application Metrics	p. 58
Custom Instrumentation	p. 59
Automatic Instrumentation	p. 62
Obtaining JVM Metrics	p. 64
Aggregating Data	p. 66
Correlating Data	p. 67
Visualizing Data	p. 70
Summary	p. 71
Implementing Performance Measurements	p. 73
Reading Application Server Metrics	p. 74
Implementing Code Instrumentation	p. 94
Instrumentation Engine	p. 97
Test Application	p. 109
Instrumentation Command Interface	p. 114
Summary	p. 121
Application Life Cycle Performance Management
Performance Through the Application Development Life Cycle	p. 125
Performance Overview	p. 125
Performance in Architecture	p. 126
SLAs	p. 127
Object Life Cycle Management	p. 129
Application Session Management	p. 130
Performance in Development	p. 132
Unit Testing	p. 133
Unit Performance Testing	p. 140
Performance in Quality Assurance	p. 149
Balanced Representative Load Testing	p. 150
Production Staging Testing	p. 151
Identifying Performance Issues	p. 151
Summary	p. 154
Performance Tuning Methodology	p. 155
Performance Tuning Overview	p. 155
Load Testing Methodology	p. 156
Load Testing Design	p. 157
Load Testing Process	p. 158
Wait-Based Tuning	p. 159
Tuning Theory	p. 160
Tuning Backward	p. 162
JVM Heap	p. 163
Wait-Based Tuning Conclusions	p. 164
Tuning Example	p. 164
Application Bottlenecks	p. 172
Summary	p. 176
Tuning an Application Server	p. 177
Application Server Requirements	p. 178
Biggest Bang: Quickly Grabbing the 80 Percent	p. 180
Tuning the JVM Heap	p. 180
Tuning Thread Pools	p. 197
Tuning Connection Pools	p. 198
Tuning Caches	p. 198
Fine-tuning: Realizing the Remaining 20 Percent	p. 199
Tuning EJB Pools	p. 199
Precompiling JSPs	p. 200
Tuning the JMS	p. 202
Understanding Servlet Pooling and the Impact of Non-Thread-safe Servlets	p. 202
Tuning Prepared Statement Caches	p. 203
Configuring Advanced JDBC Options	p. 204
Summary	p. 205
High-Performance Deployments	p. 207
Deployment Overview	p. 207
Formal Deployment Topology	p. 209
Software Clusters	p. 211
Technical Requirements	p. 212
Architecting Clusterable Applications	p. 213
Horizontal and Vertical Clusters	p. 214
Disaster Recovery	p. 215
Realizing the Logical Configuration	p. 217
Hardware Infrastructure	p. 219
Load Testing Strategy	p. 221
Summary	p. 222
Performance and Scalability Testing	p. 223
Performance vs. Scalability	p. 224
Capacity Assessment	p. 227
Graduated Load Tester	p. 227
Capacity Assessment Usage Mappings	p. 229
Measurements	p. 230
Building a Capacity Assessment Report	p. 234
Executive Summary	p. 234
Test Profile	p. 235
Capacity Analysis	p. 236
Degradation Model	p. 237
Impact Analysis	p. 238
Analysis and Recommendations	p. 239
Sample Capacity Assessment Report	p. 240
Executive Summary	p. 240
Test Profile	p. 241
Capacity Analysis	p. 243
Degradation Model	p. 245
Impact Analysis	p. 248
Final Analysis and Recommendations	p. 250
Summary	p. 251
Performance Management in Production
Java EE Performance Assessment	p. 255
Performance Assessment Benefits	p. 256
Performance Assessment Overview	p. 257
Prerequisites	p. 257
Process	p. 258
Analysis	p. 258
Mitigating Performance Overhead	p. 258
Platform Recording	p. 259
Application Recording	p. 261
Preproduction Strategy	p. 262
Preparing the Production Environment	p. 263
Assessing Usage Patterns	p. 264
Evaluating Critical Mass	p. 265
Determining User Load	p. 265
Recording Metrics	p. 265
Production Strategy	p. 266
Recording at the Right Intervals	p. 267
Environmental Subsets	p. 268
Staged Recording	p. 269
Metric Recording	p. 270
Metric Analysis	p. 271
Environment	p. 271
Application Server	p. 279
Application	p. 287
SQL Report	p. 295
Summary	p. 297
Production Troubleshooting Methodology	p. 299
Performance Issues in Production	p. 300
Prerequisites	p. 301
Production Support Methodology	p. 302
Roles of Support Personnel	p. 302
The Production Support Workflow	p. 304
Triggers	p. 305
Level 1 Support	p. 306
Level 2 Support	p. 308
Level 3 Support	p. 309
Level 4 Support	p. 311
Benefits of a Formal Production Support Methodology	p. 313
Summary	p. 315
Trending, Forecasting, and Capacity Planning	p. 317
Trends	p. 318
Usage Patterns	p. 319
Heap Usage Patterns	p. 321
Resource Utilization Patterns	p. 323
Response Time Patterns	p. 326
Forecasting	p. 327
Capacity Planning	p. 330
Forecast Risk Analysis	p. 331
Capacity Assessment	p. 332
Capacity Plan	p. 333
Summary	p. 335
Assembling a Performance Management Plan	p. 337
Evolution of the Performance Management Plan	p. 338
Performance Management Infrastructure	p. 341
Performance Management Process Document	p. 342
Application Performance Management Document	p. 343
Performance Test Infrastructure	p. 345
Performance Deployment Infrastructure	p. 345
Production Support Infrastructure	p. 346
Capacity Planning Infrastructure	p. 347
PMP Life Cycle	p. 347
Summary	p. 348
Tips and Tricks
Solving Common Java EE Performance Problems	p. 351
Out-of-Memory Errors	p. 352
Causes of Out-of-Memory Errors	p. 352
Resolving Memory Leaks	p. 358
Artificial Memory Leaks	p. 359
Thread Pools	p. 364
Thread Pools That Are Too Small	p. 364
Thread Pools That Are Too Large	p. 366
JDBC Connection Pools	p. 366
JDBC Prepared Statements	p. 367
Entity Bean and Stateful Session Bean Caches	p. 368
Stateless Session Bean and Message-Driven Bean Pools	p. 370
Transactions	p. 370
Summary	p. 371
Next STeps	p. 373
Tools of the Trade	p. 373
Load Tester	p. 373
Performance Profilers	p. 374
Performance Analysis Tools	p. 376
24x7 Unattended Monitoring	p. 376
End-User Experience Monitors	p. 377
Online Communities	p. 378
Developing a Performance Management Plan	p. 379
Summary	p. 379
Index	p. 381
Table of Contents provided by Ingram. All Rights Reserved.

Pro Java EE 5 Performance Management and Optimization

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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