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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.
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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