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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Application Optimization – Memory Management and Server Configuration

We now know how to get information about the performance of our application. From high-level execution time to deep container internals, we can determine which part of the code is slowing us down.

However, this is mainly about our code or stack (the Java EE container). There are other criteria that can influence the performance of the same machine (considering that the CPU and the memory are fixed).

In this chapter, we will investigate the following:

How JVM manages the memory and automatically releases unused objects
Compare different options to release the memory that JVM offers
See how the server configuration can also impact the performance