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Growth in Java Development for Web and Mobile Apps

Java is the fifth most used programming language with a market share of 35.35%. It is a viable technology for enterprise, web, and mobile applications. Java has become the primary programming language for companies across multiple domains in recent years. It is powerful, scalable, and enterprise-grade. As a result, Java software development services are highly popular for such applications. 

Today, Java has found applications in some of the leading technical industries of the world. From data science to AR & VR, Java is usable for all advanced programming applications. However, while enterprise Java development is the fastest-growing use case, web and mobile have been the long-standing winner for the technical applications of Java.

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What I’ve Learned While Building a To-Do App Using Quarkus

Recently I was working on a small project to build a simple browser-based app using Quarkus, JQuery, and Postgresql. The focus was more on learning Quarkus, while the others were complimentary. I was interested to get a first-hand experience on Quarkus and Graal VM. Some readers might be new with these words so let me start with a small introduction on these two projects.

Quarkus is an open source project working with a container-first philosophy to build cloud-native Java-based applications using a microservice architecture. It brings along significant improvement on app booting (a notorious area for improvement for Java-based applications) by build time meta-data processing and most importantly building standalone native images using Graal/Substrate VM. Graal VM applies a technique to statically analyze the classes to determine which classes and methods are reachable and will be used during application execution. Then it passes all this reachable code as the input to the GraalVM compiler which ahead-of-time (AOT) compiles it to the native binary. The native binary runs on a different VM (Substrate VM) that manages runtime components like de-optimizer, garbage collector, thread scheduling, etc.