Book Image

Learn Java 12 Programming

By : Nick Samoylov
Book Image

Learn Java 12 Programming

By: Nick Samoylov

Overview of this book

Java is one of the preferred languages among developers, used in everything right from smartphones, and game consoles to even supercomputers, and its new features simply add to the richness of the language. This book on Java programming begins by helping you learn how to install the Java Development Kit. You will then focus on understanding object-oriented programming (OOP), with exclusive insights into concepts like abstraction, encapsulation, inheritance, and polymorphism, which will help you when programming for real-world apps. Next, you’ll cover fundamental programming structures of Java such as data structures and algorithms that will serve as the building blocks for your apps. You will also delve into core programming topics that will assist you with error handling, debugging, and testing your apps. As you progress, you’ll move on to advanced topics such as Java libraries, database management, and network programming, which will hone your skills in building professional-grade apps. Further on, you’ll understand how to create a graphic user interface using JavaFX and learn to build scalable apps by taking advantage of reactive and functional programming. By the end of this book, you’ll not only be well versed with Java 10, 11, and 12, but also gain a perspective into the future of this language and software development in general.
Table of Contents (25 chapters)
Free Chapter
Section 1: Overview of Java Programming
Section 2: Building Blocks of Java
Section 3: Advanced Java

What is a microservice?

With processing loads constantly increasing, the conventional way of addressing the issue is to add more servers with the same .ear or .war file deployed and then join them all together in a cluster. This way, a failed server can be automatically replaced with another one, and the system will experience no decrease in its performance. The database that backs all the clustered servers is typically clustered too.

Increasing the number of clustered servers, however, is far too coarse-grained a solution for scalability, especially if the processing bottleneck is localized in only one of many procedures that are running in the application. Imagine that one particular CPU- or I/O-intensive process slows down the whole application; adding another server just to mitigate the problem of only one part of the application may carry too much of an overhead.