A groundbreaking scientific approach to solving enterprise applications performance problems

Enterprise applications are the information backbone of today's corporations, supporting vital business functions such as operational management, supply chain maintenance, customer relationship administration, business intelligence, accounting, procurement logistics, and more. Acceptable performance of enterprise applications is critical for a company's day-to-day operations as well as for its profitability.

Unfortunately, troubleshooting poorly performing enterprise applications has traditionally relied upon a trial-and-error series of actions rather than a systematic, scientific methodology.

Written by the Consulting Technical Director of Oracle Corporation, one of the largest enterprise software providers in the world, this groundbreaking book frames enterprise applications performance engineering as an applied science built on a model-based foundation. Readers will discover how queuing models of enterprise applications can be used to visualize, demystify, explain, and help to solve the performance issues of many applications. The author demonstrates how these queuing models help discover the critical connections among users' workloads, hardware architecture, and software parameters.

Without resorting to complex mathematics, Solving Enterprise Applications Performance Puzzles covers such important topics as:

• Queuing networks as application models

• Building and solving application models

• User's workload characterization

• Servers, CPUs, and other building blocks of application scalability

• Software bottlenecks

• Performance and capacity of virtual systems

• Model-based application sizing

Throughout the book, readers will find tables and charts summarizing and visualizing important data. In addition, readers will find plenty of illustrations to help them better understand the core drivers of application performance.

Solving Enterprise Applications Performance Puzzles offers performance engineers, programmers, and systems analysts a new perspective on why enterprise applications can underperform and fail to support businesses. It puts forward a scientific approach for discovering the underlying problems and correcting them.