Logging is one of the oldest topics you can encounter in computer science, but it is also one that has been solved many times. Understand that you will find lots of frameworks about logging. Let's have a quick look at them and see how they can sometimes relate.
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Java EE 8 High Performance
By :

Java EE 8 High Performance
By:
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.
Table of Contents (12 chapters)
Preface
Money – The Quote Manager Application
Looking Under the Cover – What is This EE Thing?
Monitor Your Application
Application Optimization – Memory Management and Server Configuration
Scale Up – Threading and Implications
Be Lazy; Cache Your Data
Be Fault-Tolerant
Loggers and Performances – A Trade-Off
Benchmarking Your Application
Continuous Performance Evaluation
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