Summary

This chapter took a thorough look at profiling tools and their role in Java application performance. We explored various profilers, including those bundled in the JDK and embedded in IDEs, and third-party tools such as JProfiler and YourKit Java Profiler. Coverage included practical profiling strategies to help identify performance bottlenecks, distinct profiling approaches required for development and performance environments, and the importance of continuous profiling to support long-term performance management. We introduced three real-world case studies to illustrate profiling tool applications. Finally, we examined future trends and best practices regarding Java profiling tools.

In the next chapter, we will examine how to optimize our databases and queries to enhance the performance of our Java applications. We will review database design considerations, purposeful SQL query generation, and several strategies, including normalization, indexing, connection pooling, caching...