Systems Performance：Enterprise and the Cloud.pdf

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System Performance.pdf

Table of Contents

Systems Performance: Enterprise and the Cloud Table of Contents About This eBook Title Page Copyright Page Contents Preface About This Book Operating System Coverage Other Content What Isn’t Covered How This Book Is Structured As a Future Reference Tracing Examples Intended Audience Typographic Conventions Supplemental Material and References Acknowledgments About the Author 1. Introduction 1.1. Systems Performance 1.2. Roles 1.3. Activities 1.4. Perspectives 1.5. Performance Is Challenging 1.6. Latency 1.7. Dynamic Tracing 1.8. Cloud Computing 1.9. Case Studies 2. Methodology 2.1. Terminology 2.2. Models 2.3. Concepts 2.4. Perspectives 2.5. Methodology 2.6. Modeling 2.7. Capacity Planning file:///F:/Users/calibre/Brendan%20Gregg/Systems%20Perf...20Enterprise%20-%20Brendan%20Gregg/index_split_481.html（第 1／5 页）2015/6/20 21:38:14

Systems Performance: Enterprise and the Cloud 2.8. Statistics 2.9. Monitoring 2.10. Visualizations 2.11. Exercises 2.12. References 3. Operating Systems 3.1. Terminology 3.2. Background 3.3. Kernels 3.4. Exercises 3.5. References 4. Observability Tools 4.1. Tool Types 4.2. Observability Sources 4.3. DTrace 4.4. SystemTap 4.5. perf 4.6. Observing Observability 4.7. Exercises 4.8. References 5. Applications 5.1. Application Basics 5.2. Application Performance Techniques 5.3. Programming Languages 5.4. Methodology and Analysis 5.5. Exercises 5.6. References 6. CPUs 6.1. Terminology 6.2. Models 6.3. Concepts 6.4. Architecture 6.5. Methodology 6.6. Analysis 6.7. Experimentation 6.8. Tuning 6.9. Exercises 6.10. References file:///F:/Users/calibre/Brendan%20Gregg/Systems%20Perf...20Enterprise%20-%20Brendan%20Gregg/index_split_481.html（第 2／5 页）2015/6/20 21:38:14

Systems Performance: Enterprise and the Cloud 7. Memory 7.1. Terminology 7.2. Concepts 7.3. Architecture 7.4. Methodology 7.5. Analysis 7.6. Tuning 7.7. Exercises 7.8. References 8. File Systems 8.1. Terminology 8.2. Models 8.3. Concepts 8.4. Architecture 8.5. Methodology 8.6. Analysis 8.7. Experimentation 8.8. Tuning 8.9. Exercises 8.10. References 9. Disks 9.1. Terminology 9.2. Models 9.3. Concepts 9.4. Architecture 9.5. Methodology 9.6. Analysis 9.7. Experimentation 9.8. Tuning 9.9. Exercises 9.10. References 10. Network 10.1. Terminology 10.2. Models 10.3. Concepts 10.4. Architecture 10.5. Methodology 10.6. Analysis file:///F:/Users/calibre/Brendan%20Gregg/Systems%20Perf...20Enterprise%20-%20Brendan%20Gregg/index_split_481.html（第 3／5 页）2015/6/20 21:38:14

Systems Performance: Enterprise and the Cloud 10.7. Experimentation 10.8. Tuning 10.9. Exercises 10.10. References 11. Cloud Computing 11.1. Background 11.2. OS Virtualization 11.3. Hardware Virtualization 11.4. Comparisons 11.5. Exercises 11.6. References 12. Benchmarking 12.1. Background 12.2. Benchmarking Types 12.3. Methodology 12.4. Benchmark Questions 12.5. Exercises 12.6. References 13. Case Study 13.1. Case Study: The Red Whale 13.2. Comments 13.3. Additional Information 13.4. References Appendix A. USE Method: Linux Physical Resources Software Resources Reference Appendix B. USE Method: Solaris Physical Resources Software Resources References Appendix C. sar Summary Linux Solaris Appendix D. DTrace One-Liners syscall Provider proc Provider profile Provider file:///F:/Users/calibre/Brendan%20Gregg/Systems%20Perf...20Enterprise%20-%20Brendan%20Gregg/index_split_481.html（第 4／5 页）2015/6/20 21:38:14

Systems Performance: Enterprise and the Cloud sched Provider fbt Provider pid Provider io Provider sysinfo Provider vminfo Provider ip Provider tcp provider udp provider Appendix E. DTrace to SystemTap Functionality Terminology Probes Built-in Variables Functions Example 1: Listing syscall Entry Probes Example 2: Summarize read() Returned Size Example 3: Count syscalls by Process Name Example 4: Count syscalls by syscall Name, for Process ID 123 Example 5: Count syscalls by syscall Name, for “httpd” Processes Example 6: Trace File open()s with Process Name and Path Name Example 7: Summarize read() Latency for “mysqld” Processes Example 8: Trace New Processes with Process Name and Arguments Example 9: Sample Kernel Stacks at 100 Hz References Appendix F. Solutions to Selected Exercises Chapter 2—Methodology Chapter 3—Operating Systems Chapter 6—CPUs Chapter 7—Memory Chapter 8—File Systems Chapter 9—Disks Chapter 11—Cloud Computing Appendix G. Systems Performance Who’s Who Glossary Bibliography Index file:///F:/Users/calibre/Brendan%20Gregg/Systems%20Perf...20Enterprise%20-%20Brendan%20Gregg/index_split_481.html（第 5／5 页）2015/6/20 21:38:14

Systems Performance: Enterprise and the Cloud About This eBook ePUB is an open, industry-standard format for eBooks. However, support of ePUB and its many features varies across reading devices and applications. Use your device or app settings to customize the presentation to your liking. Settings that you can customize often include font, font size, single or double column, landscape or portrait mode, and figures that you can click or tap to enlarge. For additional information about the settings and features on your reading device or app, visit the device manufacturer’s Web site. Many titles include programming code or configuration examples. To optimize the presentation of these elements, view the eBook in single-column, landscape mode and adjust the font size to the smallest setting. In addition to presenting code and configurations in the reflowable text format, we have included images of the code that mimic the presentation found in the print book; therefore, where the reflowable format may compromise the presentation of the code listing, you will see a “Click here to view code image” link. Click the link to view the print-fidelity code image. To return to the previous page viewed, click the Back button on your device or app. file:///F:/Users/calibre/Brendan%20Gregg/Systems%20Performanc...ance_%20Enterprise%20-%20Brendan%20Gregg/index_split_000.html2015/6/20 21:38:17

Systems Performance: Enterprise and the Cloud Systems Performance Enterprise and the Cloud Brendan Gregg Upper Saddle River, NJ ‧ Boston ‧ Indianapolis ‧ San Francisco New York ‧ Toronto ‧ Montreal ‧ London ‧ Munich ‧ Paris ‧ Madrid Capetown ‧ Sydney ‧ Tokyo ‧ Singapore ‧ Mexico City file:///F:/Users/calibre/Brendan%20Gregg/Systems%20Performanc...ance_%20Enterprise%20-%20Brendan%20Gregg/index_split_001.html2015/6/20 21:38:19

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