Latest Technologies of Java and Trends To Stay Updated in 2019
Java has been the most powerful programming language of the virtual world and over 10 billion devices using its applications are maintaining its legacy from years. The language has a strong compatibility feature to support almost any system. Thanks to numerous innovations and updates, technology has completely transformed to an amazing extent and become more compatible, scalable and flexible than before. The last year saw a rapid growth in Java's advancement and the transformation will hugely impact the Java development services.
1.Java SE 10
The reason why Java is preferred by more than 10 million developers for mobile and chat web application development is due to the ability to offer a large set of libraries. The libraries with numerous open-source tools help to build powerful apps for enterprises. With the release of Java SE 10, it is built with the efforts of the OpenJDK community, it comprises of amazing features ready to revamp the app development experience. Due to regular emphasis on the innovative approach, with over 15 billion cloud-connected JVMs, Java is without doubt crowned as the number one choice among the developers.
2.Impact on Java Language
Jython and several other scripting languages are coded in the Java itself. Jython, as the name reveals, is inherited from the original Python language. The modifications in the Java updates are going to affect these programming languages as well. This is why programming languages like Python, Perl, and PHP have become more innovative and compelling than ever.
Reactive programming is not a new concept, but with new innovations, it has become more relevant. The data volume is growing; the processing power is increasing. Users look for software integrity, regular updates, and continuous synchronization. Processing several events is quite annoying in the backend for the Android platform. It is the time to simply switch to the programming paradigm where the source and the consumer of the data are defined.
RxJava is one of the latest Java technologies and is the reactive extension for the JVM. When a consumer is connected to the source of data, RxJava pushes it to the end-user. This library is a great support for the developers to build asynchronous and concurrent Java applications. It also makes the code appear less bulky as well as elegant.Learn advacne concepts from java training institute in chennai.
You can use Java for any purpose, and data processing is no exception at all. Java has many features ranging from high-performance, general-purpose, and compiled language. No matter which framework you opt, Hadoop or Apache Spark, it is well-supported by Java programming language. Thanks to the availability of a large community, there are several libraries for data processing, machine learning, and cloud computing.
Keeping the production code, & data processing in the same ecosystem is a great idea. Java is not perfect in all scenarios as it is a wordy programming language, and isn't the best fit for the R&D work. That's why data scientists usually opt R and Python programming language. R is more in demand as it was created for statistics and research work only. Despite that, Java is used in the Data Science all because of its flexibility, performance and smooth integration of the code into an existing interface.
5.Microservices to Serverless Architecture
The most significant trends in the software design are the transfer from microservices to the serverless architecture. The current Java technologies are implementing it as well. The microservices architecture means all the components can be changed or replaced easily as well as independently. The serverless architecture means no use of the server for building and deploying the code. But the best feature is the breaking own of modules into smaller parts than the microservices. This is of great help during the infinite scaling. Also, the developers are offered a chance to visualize the complex process in a simple manner to improve performance, reduce bottlenecks and make prominent decisions. In short, the serverless process gives you control over the architecture of the solution and scalability.
So, how serverless architecture is possible with Java? AWS Lambda is a serverless computing platform and is obtained by building an AWS Lambda Function. For advanced, look for the Service Bloks. They are basically the cloud-native apps that combine microservices with the scalability of the serverless functions. Service blok comprises of Service Core and Functions. A service core is responsible for the communication and dispatching of events to the serverless functions within a block.