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Java EE 8 High Performance

By : Romain Manni-Bucau

3.9 (36)

Buy this Book

Java EE 8 High Performance

3.9 (36)

By: Romain Manni-Bucau

Buy this Book

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

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Free Chapter

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

Conclusion

Summary

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

Summary

Monitor Your Application

Java tools to know what my application is doing

GlassFish ad hoc monitoring

Libraries monitor your application

Summary

Application Optimization – Memory Management and Server Configuration

Java and the memory

Java EE and the resources

Summary

Scale Up – Threading and Implications

Java EE threading model

Thread data and consistency

Java EE and threads

Reactive programming and Java EE

Summary

Be Lazy; Cache Your Data

Caching challenges

HTTP and caching

JCache – the standard cache of Java EE

Cache once

Summary

Be Fault-Tolerant

It will fail, no doubt!

Load balancing – pick the best one

Failover

Bulk head

Timeouts

Summary

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

Summary

Benchmarking Your Application

Benchmarking – validating your application against your SLA

Preparing your benchmark

Benchmark iterations

After your benchmark

Summary

Continuous Performance Evaluation

Writing performance tests – the pitfalls

Writing performance tests

Continuous integration platform and performance

Summary

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Summary

In this chapter, we saw how memory is managed with Java, and how to influence it to optimize and adapt it to your application requirements. We also saw how the Java EE server-provided resources help you save time, as they not only enable you to skip reconnection time between usages but also imply a dedicated tuning to not abuse the server memory and CPU.

The idea behind this chapter is to ensure that you have the keys and knowledge to be able to investigate any issue with memory and to be able to tune the memory and resources without being lost or using some random numbers.

Also, this part is probably the most unportable one and will be related to the JVM (for the memory) and server (for the resources) you'll use in your deployment. All the concepts will still apply but the way you tune them can differ, since this is not something standardized yet—even if the...