Java(TM) Performance and Scalability - 1: Server-Side Programming Techniques

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This book aims to equip Java programmers with the skills necessary to develop efficient, scalable code. The author shares insights from his experience in server-side performance tuning, focusing on measured performance assessments known as optimizations. Each optimization presents techniques to enhance code performance and scalability, supported by concrete data and evaluations. The content is organized into 48 concise lessons addressing common performance pitfalls, offering a wealth of practical tips to improve program efficiency. Key topics include memory management, garbage collection, caching, and multithreading. Specific lessons cover reserving StringBuffer capacity, avoiding premature object creation, creating an efficient vector class, designing caching into APIs, understanding synchronization costs, managing parallel subtasks, optimizing JNI efficiency, varying server workloads, and utilizing ServletOutputStream and JDBC connection caching. The author concludes with a practical application that demonstrates the effectiveness of these optimizations, showcasing how a typical program's performance can be quadrupled through a series of steps that integrate the lessons discussed. This resource provides both the methodology and evidence needed for improved coding practices.