Software development is replete with risks. Will the finished software run quickly enough? Will the underlying hardware and network infrastructure be sufficient? Will the system scale? You can now get the answers you need, up-front, in time to act. This book introduces Software Performance Engineering (SPE), a proven step-by-step methodology for predicting the development challenges and performance of any object-oriented system -- and for managing development to achieve performance objectives. Performance experts Connie Smith and Lloyd Williams show how to build quantitative models of software before it is built, analyzing performance based on proposed architecture and design. Learn how to elicit performance objectives, gather relevant data, and evaluate performance throughout development and the rest of the software lifecycle. For software engineers, developers, architects, analysts, performance specialists, project managers, and other IT professionals who want to deliver higher-performance object-oriented software systems.
"Utterly demystifies the job (no longer the art) of performance engineering. Monsters, begone! Wizards, away! It leaves you feeling that you could really do this on your own. And, thanks to Connie and Lloyd, you can."
--From the Foreword by Paul Clements
Performance, responsiveness, and scalability are vital aspects of today's software. Yet many software systems cannot be used as initially implemented because of performance problems. Such failures can translate into significant costs for software developers due to damaged customer relations, lost income, and time and budget overruns.
Performance Solutions offers straightforward techniques and strategies that can be used by software developers, project managers, and performance specialists to handle the performance of software throughout the development process. In particular the book focuses on how to design performance into software systems early and then maintain performance throughout the software development life cycle.
Software Performance Engineering (SPE) is a systematic, quantitative approach to cost-effectively constructing software systems that meet performance objectives. This book details the various SPE models that can be used for a wide variety of applications, including Web-based and distributed systems. It describes effective data gathering and performance measurement techniques and explores the principles of performance-oriented design. You will also find practical guidance on implementing an SPE program. Specific topics of interest include:
- Reactive versus proactive performance management
- Using UML for SPE
- Specifying key performance scenarios and performance objectives
- Gathering performance data and estimating resource requirements
- Constructing and solving performance models
- Modeling complex interactions in distributed systems
- Planning and conducting performance measurements
- Principles for performance-oriented design
- Patterns that illustrate "best practice" approaches to achieving responsiveness and scalability
- Antipatterns that illustrate what not to do and how to fix a problem when you find it
- SPE activities for mid- to late life cycle
- Performance tuning strategies
- Integrating SPE into your software process
- SPE implementation strategies and critical success factors
Numerous real-world applications and case studies illustrate the application of SPE techniques to important application domains, including Web and embedded real-time systems.
With this book, you will gain the understanding and skills you need to make informed choices among architectural and design alternatives and create responsive, scalable software on time and within your budget.
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