Patterns for Performance and Operability: Building and Testing Enterprise Software

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ISBN: 9781420053340 | 1420053345
Cover: Hardcover
Copyright: 12/22/2007

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Structured to follow the software life cycle, Patterns for Performance and Operability provides advice and examples-based instructions at every phase. You can read it from start to finish or go directly to those chapters that interest you the most. Whatever approach you choose, you will learn: How to: Define and document comprehensive non-functional requirements for any software system, Define scope and logistics for non-functional test activities, Execute non-functional tests and report results clearly and effectively, Patterns for defensive software designs in common software scenarios that promote operability and availability, Implement the right level of reporting, monitoring, and trending for highly available production software systems. Patterns for: Software designs that supports simpler and more efficient operation in a production environment, Software design that support high-performance and scalability Strategies and Techniques for: Troubleshooting during a production crisis, Strategies for resisting project pressure to compromise on quality or completeness of non-functional activities in the software cycle

Dedications	p. v
The Purpose of This Book	p. xv
Acknowledgments	p. xvii
About the Authors	p. xix
Introduction	p. 1
Production Systems in the Real World	p. 1
The Case of the Puzzlingly Poor Performance	p. 2
The Case of the Disappearing Database	p. 5
Why Should I Read This Book?	p. 7
The Non-Functional Systems Challenge	p. 8
What Is Covered by Non-Functional Testing	p. 9
Planning for the Unexpected	p. 10
Patterns for Operability in Application Design	p. 11
Ensuring Data and Transaction Integrity	p. 11
Capturing and Reporting Exception Conditions in a Consistent Fashion	p. 11
Automated Recovery from Exception Conditions	p. 14
Application Availability and Health	p. 14
Summary	p. 14
Planning and Project Initiation	p. 17
The Business Case for Non-Functional Testing	p. 17
What Should Be Tested	p. 17
How Far Should the System Be Tested?	p. 19
Justifying the Investment	p. 20
Negative Reasoning	p. 21
Scoping and Estimating	p. 22
Determining the Scope of Non-Functional Testing	p. 22
Estimating Effort and Resource	p. 26
Estimating the Delivery Timeline	p. 29
Test and Resource Planning	p. 33
Test Types and Base Requirements	p. 33
Test Environments	p. 36
The Test Team	p. 37
Communication Planning	p. 39
Setting Expectations	p. 39
Summary	p. 40
Non-Functional Requirements	p. 41
What Are Non-Functional Requirements?	p. 43
Do I Need Non-Functional Requirements?	p. 43
Roles and Responsibilities	p. 44
Challenging Requirements	p. 45
Establishing a Business Usage Model	p. 46
Quantifying Human and Machine Inputs	p. 46
Expressing Load Scenarios	p. 54
Non-Functional Requirements	p. 56
An Important Clarification	p. 56
Performance Requirements	p. 58
Operability Requirements	p. 62
Availability Requirements	p. 64
Archive Requirements	p. 65
Summary	p. 67
Designing for Operability	p. 69
Error Categorization	p. 70
Design Patterns	p. 71
Retry for Fault Tolerance	p. 71
Software Fuses	p. 74
Software Valves	p. 75
System Health Checks	p. 78
The Characteristics of a Robust System	p. 80
Simple Is Better	p. 80
Application Logging	p. 81
Transparency: Visibility into System State	p. 83
Traceability and Reconciliation	p. 84
Resume versus Abort	p. 86
Exception Handling	p. 87
Infrastructure Services	p. 91
Design Reviews	p. 91
The Design Checklist	p. 91
The Operability Review	p. 92
Summary	p. 94
Designing for Performance	p. 95
Requirements	p. 95
The "Ilities"	p. 95
Architecture	p. 101
Hotspots	p. 101
Patterns	p. 102
Divide and Conquer	p. 102
Load Balancing	p. 102
Parallelism	p. 103
Synchronous versus Asynchronous Execution	p. 107
Caching	p. 109
Antipatterns	p. 112
Overdesign	p. 114
Overserialization	p. 114
Oversynchronization	p. 117
User Session Memory Consumption	p. 118
Algorithms	p. 119
Technology	p. 120
Programming Languages	p. 120
Distributed Processing	p. 123
XML	p. 125
Software	p. 126
Databases	p. 127
Application Servers	p. 129
Messaging Middleware	p. 129
ETLs	p. 132
Hardware Infrastructure	p. 134
Resources	p. 134
Summary	p. 136
Test Planning	p. 139
Defining Your Scope	p. 140
System Boundaries	p. 140
Scope of Operability	p. 142
Scope of Performance	p. 145
Load Testing Software	p. 145
Product Features	p. 146
Vendor Products	p. 147
Additional Testing Apparatus	p. 149
Test Beds	p. 150
Test-Case Data	p. 150
Test Environments	p. 151
Isolation	p. 151
Capacity	p. 153
Change Management	p. 154
Historical Data	p. 154
Summary	p. 157
Test Preparation and Execution	p. 159
Preparation Activities	p. 159
Script Development	p. 160
Validating the Test Environment	p. 164
Establishing Mixed Load	p. 164
Seeding the Test Bed	p. 167
Tuning the Load	p. 167
Performance Testing	p. 171
Priming Effects	p. 172
Performance Acceptance	p. 173
Reporting Performance Results	p. 176
Performance Regression: Baselining	p. 177
Stress Testing	p. 181
Operability Testing	p. 181
Boundary Condition Testing	p. 182
Failover Testing	p. 183
Fault Tolerance Testing	p. 186
Sustainability Testing	p. 188
Challenges	p. 192
Repeatable Results	p. 193
Limitations	p. 193
Summary	p. 194
Deployment Strategies	p. 195
Procedure Characteristics	p. 196
Packaging	p. 197
Configuration	p. 197
Deployment Rehearsal	p. 198
Rollout Strategies	p. 198
The Pilot Strategy	p. 198
The Phased Rollout Strategy	p. 199
The Big Bang Strategy	p. 199
The Leapfrog Strategy	p. 200
Case Study: Online Banking	p. 200
Case Study: The Banking Front Office	p. 202
Back-Out Strategies	p. 204
Complete Back-Out	p. 204
Partial Back-Out	p. 204
Logical Back-Out	p. 204
Summary	p. 205
Resisting Pressure from the Functional Requirements Stream	p. 207
A Question of Degree	p. 208
Pressures from the Functional Requirements Stream	p. 209
Attention	p. 212
Human Resources	p. 212
Hardware Resources	p. 213
Software Resources	p. 213
Issue Resolution	p. 213
Defining Success	p. 213
Setting the Stage for Success	p. 214
Framework	p. 215
Roles and Responsibilities	p. 216
Raw Resources Required by the Non-Functional Requirements Stream	p. 216
Performance Metrics	p. 221
Setting Expectations	p. 222
Controls	p. 222
The Impact of Not Acting	p. 223
Summary	p. 223
Operations Trending and Monitoring	p. 225
Monitoring	p. 225
Attributes of Effective Monitoring	p. 227
Monitoring Scope	p. 228
Infrastructure Monitoring	p. 230
Container Monitoring	p. 233
Application Monitoring	p. 238
End-User Monitoring	p. 239
Trending and Reporting	p. 241
Historical Reporting	p. 241
Performance Trending	p. 241
Error Reporting	p. 243
Reconciliation	p. 244
Business Usage Reporting	p. 245
Capacity Planning	p. 245
Planning Inputs	p. 245
Best Practice	p. 248
Case Study: Online Dating	p. 248
Maintaining the Model	p. 255
Completing a Capacity Plan	p. 255
Summary	p. 256
Troubleshooting and Crisis Management	p. 257
Reproducing the Issue	p. 257
Determining Root Cause	p. 258
Troubleshooting Strategies	p. 259
Understanding Changes in the Environment	p. 259
Gathering All Possible Inputs	p. 261
Approach Based on Type of Failure	p. 263
Predicting Related Failures	p. 265
Discouraging Bias	p. 268
Pursuing Parallel Paths	p. 268
Considering System Age	p. 269
Working Around the Problem	p. 269
Applying a Fix	p. 270
Fix versus Mitigation versus Tolerance	p. 270
Assessing Level of Testing	p. 271
Post-Mortem Review	p. 272
Reviewing the Root Cause	p. 272
Reviewing Monitoring	p. 272
Summary	p. 275
Common Impediments to Good Design	p. 277
Design Dependencies	p. 277
What Is the Definition of Good Design?	p. 279
What Are the Objectives of Design Activities?	p. 279
Rating a Design	p. 281
Testing a Design	p. 286
Contributors to Bad Design	p. 287
Common Impediments to Good Design	p. 287
Confusing Architecture with Design	p. 288
Insufficient Time/Tight Timeframes	p. 288
Missing Design Skills on the Project Team	p. 288
Lack of Design Standards	p. 288
Personal Design Preferences	p. 289
Insufficient Information	p. 289
Constantly Changing Technology	p. 289
Fad Designs	p. 290
Trying to Do Too Much	p. 290
The 80/20 Rule	p. 290
Minimalistic Viewpoint	p. 290
Lack of Consensus	p. 291
Constantly Changing Requirements	p. 291
Bad Decisions/Incorrect Decisions	p. 291
Lack of Facts	p. 291
External Impacts	p. 291
Insufficient Testing	p. 291
Lack of Design Tools	p. 292
Design Patterns Matter	p. 292
Lack of Financial Resources	p. 292
Design Principles	p. 292
Summary	p. 293
References	p. 295
Index	p. 297
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Patterns for Performance and Operability: Building and Testing Enterprise Software

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