Systems Performance: Enterprise and the Cloud (häftad)
Fler böcker inom
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
792
Utgivningsdatum
2013-11-13
Upplaga
1
Förlag
PRENTICE-HALL
Illustrationer
black & white illustrations, black & white tables, figures
Dimensioner
229 x 178 x 46 mm
Vikt
1203 g
Antal komponenter
1
ISBN
9780133390094

Systems Performance: Enterprise and the Cloud

Häftad,  Engelska, 2013-11-13

Slutsåld

The Complete Guide to Optimizing Systems Performance

Written by the winner of the 2013 LISA Award for Outstanding Achievement in System Administration

Large-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environments. Systems Performance: Enterprise and the Cloud focuses on Linux and Unix performance, while illuminating performance issues that are relevant to all operating systems. Youll gain deep insight into how systems work and perform, and learn methodologies for analyzing and improving system and application performance. Gregg presents examples from bare-metal systems and virtualized cloud tenants running Linux-based Ubuntu, Fedora, CentOS, and the illumos-based Joyent SmartOS and OmniTI OmniOS. He systematically covers modern systems performance, including the traditional analysis of CPUs, memory, disks, and networks, and new areas including cloud computing and dynamic tracing. This book also helps you identify and fix the unknown unknowns of complex performance: bottlenecks that emerge from elements and interactions you were not aware of. The text concludes with a detailed case study, showing how a real cloud customer issue was analyzed from start to finish.

Coverage includes

Modern performance analysis and tuning: terminology, concepts, models, methods, and techniques

Dynamic tracing techniques and tools, including examples of DTrace, SystemTap, and perf

Kernel internals: uncovering what the OS is doing

Using system observability tools, interfaces, and frameworks

Understanding and monitoring application performance

Optimizing CPUs: processors, cores, hardware threads, caches, interconnects, and kernel scheduling

Memory optimization: virtual memory, paging, swapping, memory architectures, busses, address spaces, and allocators

File system I/O, including caching

Storage devices/controllers, disk I/O workloads, RAID, and kernel I/O

Network-related performance issues: protocols, sockets, interfaces, and physical connections

Performance implications of OS and hardware-based virtualization, and new issues encountered with cloud computing

Benchmarking: getting accurate results and avoiding common mistakes

This guide is indispensable for anyone who operates enterprise or cloud environments: system, network, database, and web admins; developers; and other professionals. For students and others new to optimization, it also provides exercises reflecting Greggs extensive instructional experience.

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Övrig information

Brendan Gregg (San Francisco, CA area) is Lead Performance Engineer at Joyent, where he analyzes performance and scalability for small to large cloud computing environments, at any level of the software stack. He is primary author of DTrace and co-author of Solaris Performance and Tools (both from Prentice Hall); as well as numerous articles about systems performance. Previously performance lead and kernel engineer at Sun Microsystems, he has also consulted and trained IT professionals on performance optimization. He developed DTraceToolkit and ZFS L2ARC, and many of his DTrace scripts are shipped by default in Mac OS X and Oracle Solaris 11. His recent work has included performance visualizations.

Innehållsförteckning

Acknowledgments xxxiii

About the Author xxxv

 

Chapter 1: Introduction 1

1.1 Systems Performance 1

1.2 Roles 2

1.3 Activities 3

1.4 Perspectives 4

1.5 Performance Is Challenging 4

1.6 Latency 6

1.7 Dynamic Tracing 7

1.8 Cloud Computing 8

1.9 Case Studies 9

 

Chapter 2: Methodology 15

2.1 Terminology 16

2.2 Models 17

2.3 Concepts 18

2.4 Perspectives 32

2.5 Methodology 35

2.6 Modeling 57

2.7 Capacity Planning 65

2.8 Statistics 69

2.9 Monitoring 74

2.10 Visualizations 76

2.11 Exercises 82

2.12 References 82

 

Chapter 3: Operating Systems 85

3.1 Terminology 86

3.2 Background 87

3.3 Kernels 105

3.4 Exercises 113

3.5 References 113

 

Chapter 4: Observability Tools 115

4.1 Tool Types 116

4.2 Observability Sources 120

4.3 DTrace 133

4.4 SystemTap 144

4.5 perf 149

4.6 Observing Observability 150

4.7 Exercises 151

4.8 References 151

 

Chapter 5: Applications 153

5.1 Application Basics 153

5.2 Application Performance Techniques 158

5.3 Programming Languages 163

5.4 Methodology and Analysis 167

Thread State Analysis 168

5.5 Exercises 186

5.6 References 187

 

Chapter 6: CPUs 189

6.1 Terminology 190

6.2 Models 191

6.3 Concepts 193

6.4 Architecture 199

6.5 Methodology 214

6.6 Analysis 224

6.7 Experimentation 254

6.8 Tuning 256

6.9 Exercises 260

6.10 References 262

 

Chapter 7: Memory 265

7.1 Terminology 266

7.2 Concepts 267

7.3 Architecture 272

7.4 Methodology 289

7.5 Analysis 295

7.6 Tuning 314

7.7 Exercises 319

7.8 References 320

 

Chapter 8: File Systems 323

8.1 Terminology 324

8.2 Models 325

8.3 Concepts 326

8.4 Architecture 337

8.5 Methodology 353

8.6 Analysis 362

8.7 Experimentation 383

8.8 Tuning 387

8.9 Exercises 391

8.10 References 392

 

Chapter 9: Disks 395

9.1 Terminology 396

9.2 Models 397

9.3 Concepts 399

9.4 Architecture 407

9.5 Methodology 421

9.6 Analysis 431

9.7 Experimentation 465

9.8 Tuning 467

9.9 Exercises 470

9.10 References 471

 

Chapter 10: Network 473

10.1 Terminology 474

10.2 Models 474

10.3 Concepts 476

10.4 Architecture 483

10.5 Methodology 493

10.6 Analysis 503

10.7 Expe...