Book Image

Java EE 8 High Performance

By : Romain Manni-Bucau

Book Image

Java EE 8 High Performance

By: Romain Manni-Bucau

Overview of this book

The ease with which we write applications has been increasing, but with this comes the need to address their performance. A balancing act between easily implementing complex applications and keeping their performance optimal is a present-day need. In this book, we explore how to achieve this crucial balance while developing and deploying applications with Java EE 8. The book starts by analyzing various Java EE specifications to identify those potentially affecting performance adversely. Then, we move on to monitoring techniques that enable us to identify performance bottlenecks and optimize performance metrics. Next, we look at techniques that help us achieve high performance: memory optimization, concurrency, multi-threading, scaling, and caching. We also look at fault tolerance solutions and the importance of logging. Lastly, you will learn to benchmark your application and also implement solutions for continuous performance evaluation. By the end of the book, you will have gained insights into various techniques and solutions that will help create high-performance applications in the Java EE 8 environment.

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Money – The Quote Manager Application

Money – The Quote Manager Application

Setting up the environment

The application architecture

Application project highlights

Application summary

The application server

Testing the application

Setting up MySQL

Looking Under the Cover – What is This EE Thing?

Looking Under the Cover – What is This EE Thing?

Context and Dependency Injection – what did you do to my beans?

JAX-RS – the servlet router

JPA – the database link

The Java Transaction API

Server resources

Java EE and performances

Monitor Your Application

Monitor Your Application

Java tools to know what my application is doing

GlassFish ad hoc monitoring

Libraries monitor your application

Application Optimization – Memory Management and Server Configuration

Application Optimization – Memory Management and Server Configuration

Java and the memory

Java EE and the resources

Scale Up – Threading and Implications

Scale Up – Threading and Implications

Java EE threading model

Thread data and consistency

Java EE and threads

Reactive programming and Java EE

Be Lazy; Cache Your Data

Be Lazy; Cache Your Data

Caching challenges

HTTP and caching

JCache – the standard cache of Java EE

Be Fault-Tolerant

Be Fault-Tolerant

It will fail, no doubt!

Load balancing – pick the best one

Loggers and Performances – A Trade-Off

Loggers and Performances – A Trade-Off

I log, you log, they log

Logging frameworks and concepts

Logging invocations

Logging patterns

Logging implementations – which one to pick

Benchmarking Your Application

Benchmarking Your Application

Benchmarking – validating your application against your SLA

Preparing your benchmark

Benchmark iterations

After your benchmark

Continuous Performance Evaluation

Continuous Performance Evaluation

Writing performance tests – the pitfalls

Writing performance tests

Continuous integration platform and performance

Another Book You May Enjoy

Another Book You May Enjoy

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Scale Up – Threading and Implications

Scalability has always been a concern for Java and, thus, a thread-related API was introduced in Java version 1.0. The idea is to be able to benefit from the most modern hardware updates in order to parallelize the processing of applications.

Being able to handle multiple requests in parallel is crucial for a Java EE server to scale, but in our modern Java world, you also need to be able to control your own threads. Also, Java EE introduced the required API to do it in good conditions.

In this chapter, we will go through the following topics:

Java EE threading model
Data consistency across threads
Java EE hidden thread usages
How to integrate reactive programming with the Java EE programming model