Java Profiling

سرفصل های دوره

In this course, learn about the process of examining a Java application to locate memory or performance-related issues. Instructor Semirah Dolan shows you how to use various profiling tools to identify performance issues and optimize your Java applications. Semirah explains how to diagnose the biggest culprits behind common performance bottlenecks, and how to achieve jaw-dropping improvements in your application throughput. Learn about JVM tuning, garbage collection techniques, memory profiling, and CPU profiling techniques that will result in faster, more efficient Java applications.

01 - Introduction

01 - Being a Java profiling MVP

02 - What you should know

02 - 1. Introduction to Java Profiling

01 - What is profiling

02 - Why is profiling important

03 - Types of profiling tools available for Java

03 - 2. JVM Tuning

01 - Overview of the JVM

02 - Setting JVM parameters for performance

03 - Troubleshooting common JVM issues

04 - Configuring JVM parameters for Java applications

04 - 3. Garbage Collection Tuning

01 - Overview of garbage collection (GC)

02 - Types of GC algorithms

03 - Tuning GC parameters for performance

04 - Unreference Java objects

05 - 4. Memory Profiling

01 - Overview of memory management in Java

02 - Types of memory profiling tools

03 - Using memory profiling tools to identify memory leaks

04 - Challenge QuickSort

05 - Solution QuickSort

06 - 5. CPU Profiling

01 - Overview of CPU profiling

02 - Examining CPU profiling data

03 - CPU bottlenecks in code and suggested solutions

04 - Challenge Multithreading

05 - Solution Multithreading

07 - Conclusion

01 - Review of key concepts and additional resources

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تولید کننده: LinkedIn Learning (Lynda)