Capacity planning is a well known discipline, particularly for sites that have a mainframe oriented background. The explosive growth of Internet sites and E-commerce has presented new challenges in managing performance and capacity. In many cases, time constraints and business demands can prevent normal capacity planning techniques from being applied. Classic datacenter capacity planning methods can be adjusted and successfully applied to this new Internet-centric computing environment. This BluePrint charts a course through the available techniques and tools, examines timescales and return on investment for different methodologies and provides a framework for decomposing big problems into solvable subproblems.
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The demands placed on a server farm by e-commerce and other Internet services differ from those imposed by longer-studied and better-understood processing tasks, largely because the potential demand for publicly accessible Internet services is practically infinite. Capacity Planning for Internet Services takes a careful look at traditional mainframe capacity planning techniques in light of the Internet's characteristics, evaluating their effectiveness in the new environment. The book offers new tools, formulas, and tables for use in estimating server requirements (they focus on the Sun Microsystems product line) for Internet work.
Ideal for system administrators, design engineers, database administrators, and anyone else involved in planning an upgrade path for an Internet-connected Sun environment, this book spends a lot of time documenting the factors that can create performance bottlenecks in Solaris servers and explaining how to measure peak loads. Hourly, monthly, seasonal, and special load increases are modeled mathematically, and the authors offer ideas for planning hardware capacity to match demand. They're explicit in their recommendations, calling for specific processor speeds, disk capacities, bandwidth provisions, and other specifications. Throughout, the emphasis is on keeping server capacity just slightly ahead of user requirements, so as to minimize expense. --David Wall
Topics covered: Models for predicting Internet users' demands upon Sun servers providing database lookups, transaction processing, and other services. Strategies for documenting user demand, tools for making observations, mathematical models for making predictions, and processes for planning capacity are all detailed.About the Author:
ADRIAN COCKCROFT is a Distinguished Systems Engineer at Sun Microsystems, working in the Performance Applications Engineering organization. He has broad experience of both hardware and software and works to make sure that many diverse products come together to form complete and consistent systems. He is the primary author of Sun Performance and Tuning: Java and the Internet, and contributed to the Sun BluePrint on Resource Management. An Englishman, he holds a degree in Applied Physics and Electronics from the City University, London.
BILL WALKER is an IT Architect in Sun Professional Services, working in the IT Consulting and Operations Services (ITCOPS) practice. With an extensive background in IT management, he is currently focused on services including performance analysis, capacity planning, performance management, and server consolidation. He is a co-author and instructor of the Sun Educational Services Technology Seminar, "Solaris Performance and Tuning Secrets," and has taught several courses on Unix System Administration for local colleges. He attended Millersville University, studying Electrical Engineering, and Management of Information Systems.
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Book Description Prentice-Hall. Book Condition: New. pp. 256. Bookseller Inventory # 5268749
Book Description Prentice Hall PTR, 2001. Paperback. Book Condition: New. Bookseller Inventory # P110130894028
Book Description Prentice Hall PTR. PAPERBACK. Book Condition: New. 0130894028 New Condition. Bookseller Inventory # NEW6.3018551
Book Description Prentice Hall PTR, 2001. Paperback. Book Condition: New. Bookseller Inventory # DADAX0130894028