High Performance with Java : Discover Strategies and Best Practices to Develop High Performance Java Applications / Edward Lavieri Jr.

Format:

Book

Author/Creator:

Lavieri, Edward, Jr., author.

Language:

English

Subjects (All):

Java (Computer program language).

Physical Description:

1 online resource (307 pages)

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing, [2024]

Summary:

Take your Java programming skills to the next level and learn to overcome real-world challenges to optimize application performance Key Features Leverage key features of the Java Virtual Machine to maximize runtime performance Unlock optimization strategies to effectively manage objects and memory use Apply your knowledge to utilize frameworks and libraries ripe for increasing program performance Purchase of the print or Kindle book includes a free PDF eBook Book Description Building high performance into your applications is key to creating an optimal user experience, although it is not the only consideration for the performant nature of your apps. High performance applications can lead to cost-effective resource utilization, especially when scalability and cloud computing are involved. They can also provide highly reliable systems that are easier to maintain. High Performance with Java begins by helping you explore the Java Virtual Machine (JVM) and understand how to push it to its limits to further optimize your programs. You'll take a hands-on approach to go through memory optimization strategies, input/output operations, concurrency, networking, as well as frameworks and libraries focused on performance. You'll also learn key strategies and best practices by using industry-relevant examples to architect scalable and resource-efficient applications. The concluding chapters provide valuable insights on optimizing your Java code when interacting with databases and show you how to leverage artificial intelligence (AI) for high performance Java applications.By the end of this book, you'll grasp the importance of developing high performance Java applications and gain practical experience in implementing key strategies to help ensure your Java applications perform optimally. What you will learn Explore optimization strategies for garbage collection and the JIT compiler Discover best practices when using data structures for high performance Test and compare various approaches to using loops Understand how and when to use object pooling Discern the difference between low-performance and high-performance algorithms Uncover strategies for object creation and immutability to improve performance Gain hands-on experience in avoiding memory leaks Who this book is for This book is for developers, software engineers, and software architects looking to take their Java skills to the next level. Aimed at individuals with a string grasp of Java fundamentals, this book is a practical guide to helping you write high-performing applications.

Contents:

Cover

Title page

Copyright and credits

Contributors

Table of Contents

Preface

Part 1: Code Optimization

Chapter 1: Peeking inside the Java Virtual Machine

Technical requirements

How the JVM works

More options with javap

Garbage collection

The garbage collection process

Garbage collection algorithms

Garbage collection optimizations

JIT compiler optimizations

Interpretation

AOT compilation

JIT compilation

Summary

Chapter 2: Data Structures

Improving performance with lists

Why use lists?

Common list implementations

High performance with lists

Improving performance with arrays

Array characteristics

Implementing arrays

High performance with arrays

Improving performance with trees

Examples of a tree structure

High-performance considerations

Improving performance with stacks and queues

Implementing stacks

Improving the performance of stacks

Implementing queues

Improving the performance of queues

Improving performance with advanced data structures

Hash tables

Graphs

Trie

Heap

Quad trees

Octrees

Bitsets

Ropes

Chapter 3: Optimizing Loops

Types of loops

A loop's impact on performance

Loop optimization basics

Loop unrolling

Testing loops for performance

Profiling tools and methodology

Benchmarking and testing strategies

Case studies and examples

Nested loops

Introduction to nested loops

Loop fusion in nested loops

Parallelizing nested loops

Nested loop vectorization

Chapter 4: Java Object Pooling

Jumping into the object pool

Database example

Implementing an object pool in Java

Advantages and disadvantages of object pooling

Advantages

Disadvantages.

Performance testing

Designing a performance test

Implementing a performance test

Analyzing the results

Chapter 5: Algorithm Efficiencies

Algorithm selection

Selection process

Case study

Evolving trends

Low time complexity

Strategies for reducing time complexity

Common pitfalls

Testing algorithms for efficiency

Importance of testing

Preparing for algorithm efficiency testing

Conducting the tests

Post-test actions

Part 2: Memory Optimization and I/O Operations

Chapter 6: Strategic Object Creation and Immutability

Minimizing object creation

Java object life cycle

Memory

Object pooling

Initialization approaches

Overhead reduction

Object immutability

Immutability overview

Best practices

Performance advantages

Custom classes

String classes

Garbage collection implications

Object cloning

Design patterns

Singleton pattern

Factory pattern

Chapter 7: String Objects

Proper string pooling

String interning

Code examples

String pooling for database queries

Lazy initialization

Additional string operation strategies

Concatenation

Regular expressions

Large text files

Chapter 8: Memory Leaks

Proper referencing

An introduction to references

Memory leak identification

Memory leak avoidance strategies

Listeners and loaders

Event listeners

Class loaders

Caching and threads

Caching strategies

Thread management

Java concurrency utilities

Part 3: Concurrency and Networking

Chapter 9: Concurrency Strategies and Models

Concurrency models.

Thread-based model

The message passing model

The Reactive model

Multithreading

Thread life cycles

Multithreading best practices

Synchronization

Non-blocking algorithms

Chapter 10: Connection Pooling

Connection pooling concepts

Advantages of connection pooling

Challenges of connection pooling

Implementing connection pools

Connection pool libraries

Setting up a connection pool

Integrating connection pools

Monitoring connection pools

Best practices with connection pools

Connection pool sizing

Handling connection leaks

Connection pool security

Advanced topics

Chapter 11: Hypertext Transfer Protocols

Introduction to HTTP

HTTP core components

Java and HTTP

Java web applications

Java web application architecture

Key technologies

Steps for creating a simple Java web application

Using HTTP in Java

API integration

Security considerations

Performance optimization

Part 4: Frameworks, Libraries, and Profiling

Chapter 12: Frameworks for Optimization

Asynchronous input/output

Advantages and best practices

Implementing AIO

Buffered input/output

Implementing buffered input/output

Batch operations

Implementing batch operations

Frameworks for microservices

Implementing microservices frameworks

Frameworks for cloud-native applications

Implementing a cloud-native application

Case studies and performance analysis

Case studies

Performance analysis

Chapter 13: Performance-Focused Libraries

Java Microbenchmark Harness

Key features.

Adding JMH libraries to your IDE

Writing benchmarks

Running benchmarks

Analyzing results

Use cases

Netty

Core features

Performance considerations

Implementation

FasterXML Jackson

Other notable libraries

Agrona

Eclipse Collections

Guava

Chapter 14: Profiling Tools

An introduction to profiling tools

The importance of profiling in performance tuning

Types of profiling tools and their uses

Profilers bundled in the JDK

JVisualVM

JMC

IDE-embedded profilers

The IntelliJ IDEA profiler

Eclipse's Test and Performance Tools Platform

NetBeans Profiler

Additional profilers

YourKit Java Profiler

JProfiler

VisualVM plugins and extensions

A comparative analysis of profiling tools

Performance overhead

Accuracy

Ease of use

Integration

Cost and licensing considerations

The best use cases for each tool

Scoring our profiling tools

Practical profiling strategies

Identifying performance bottlenecks

Profiling in development versus production

Continuous profiling

Case study 1 - profiling a large enterprise application

Case study 2 - performance tuning in a microservices architecture

Case study 3 - profiling and optimizing a high-throughput system

Future trends in Java profiling

Advances in profiling tools

Integration with AI and machine learning

Emerging standards and best practices

Part 5: Advanced Topics

Chapter 15: Optimizing Your Database and SQL Queries

Database design

Schema principles

Indexing

Partitioning and sharding

Query optimizations

Query execution

Advanced SQL techniques

Additional strategies

Fine-tuning

Database performance monitoring

Database maintenance.

Case studies

Case study 1

Case study 2

Case study 3

Chapter 16: Code Monitoring and Maintenance

APM tools

APM tool overview

APM tool key features

Popular APM tools

APM tool best practices

Code reviews

Peer review processes

Logging

Logging frameworks

Analyzing log data

Monitoring and alerting

Monitoring system setup

Alert configuration

Alert and incident response

Maintenance strategies

Documentation and knowledge management

Refactoring strategies

Legacy code

Chapter 17: Unit and Performance Testing

Unit testing

Frameworks

Writing unit tests

Pitfalls

TDD

Performance testing

Types and tools

Overarching strategies

Integrating unit and performance testing

Chapter 18: Leveraging Artificial Intelligence (AI) for High-Performance Java Applications

Introduction to AI in Java

AI's relevance to high-performance Java applications

Current trends

Future directions

AI for performance optimization

Code optimization and performance tuning

Predicting performance bottlenecks

Abbreviated case study

AI-powered monitoring and maintenance

Anomaly detection

AI-based logging

AI integration

Ethical and practical considerations

Epilogue

Index

Other Books You May Enjoy.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Other Format:

Print version: Jr., Edward Lavieri High Performance with Java

ISBN:

9781835462553