Things Java Developers Should Learn in 2021

Hello everyone, It’s almost the halfway mark of the year. In this article, I’ll describe what a Java developer should know before the year 2021 finishes. I think you will find this article very useful if you don’t know about these facts, and make sure you learn about them within the next few months.

Java is the only programming language that is extensively utilized for desktop, web, and mobile application development. However, Java technology trends will vary from time to time. Java can stay up with technological and software development trends by receiving regular updates, and it can support a wide range of languages on its platform. As a result, Java has become one of the most commonly utilized programming languages in disruptive technologies like AI app development and Internet of Things development. As a result, software developers must keep an eye on the latest Java technology developments.

Java Technology Updates

Java 16 (JDK 16) is the most recent version of Java, which was released on March 16th, 2021. The two most useful updates are Java 11 and LTS 8. Despite COVID, two additional updates were issued last year. JDK 17 will most likely be released at the end of September, and it will be the next LTS (Long Term Support) JDK. While there are numerous updates, each Java language must be well understood to satisfy a variety of needs. So, if you want to be successful, you must be well-versed in Java technology at all times.

Integration Testing

Testing is an important step in the code writing process. It aids in the reduction of misprints or errors while also demonstrating the validity of your code. Integration testing is a sort of test in which the functioning of the software is verified in the context of interactions between modules to ensure it is working properly. This approach was undervalued, and it acquires popularity in 2021 as a result of the ability to run integration tests (Testcontainers or JUnit 5) utilizing database containers, queues, and other tools. This way, it saves time that would have been spent rewriting or looking for errors.

When developing a complicated project in Java, though, you’ll have to spend a lot of time manually writing tests. As a consequence, frameworks, test libraries, and tools such as Hamcrest, Robot Framework, Cucumber, JUnit, REST-Assured, Mockito, Selenium, and others are now available to developers.

Serverless Architecture

The shift to serverless architecture is another growing trend that becomes much more popular in 2021. Serverless computing is a cloud service architecture in which the developer concentrates entirely on coding rather than infrastructure. The phrase “serverless architecture” may be confusing since it implies that no servers are involved. The answer, of course, is based on servers. When adopting a serverless architecture, the programmer does not have to worry about setting up computers, upgrading operating systems, configuring networks, or scaling the application. These responsibilities go to serverless service providers, such as Amazon, Microsoft, or Google. Each of the major public cloud providers provides services that are referred to as serverless.

DevOps

The most popular trend among companies that thrive on Java is DevOps Java. They intend to use both technologies to improve application development efficiency. As a result, Java developers must broaden their capabilities and awareness of Java DevOps. Java DevOps is a notion that essentially applies DevOps practices to the development of Java applications. There will be no need to divide teams while developing Java apps with this combination. This tech trend includes a variety of tools and ideas, and it demands you to master everything from the fundamentals to application implementation. However, you must have prior expertise with Java web development before learning Java DevOps, as it needs you to learn about environment setup, automation, and development from the ground up. You’ll need a lot of passion to master Jenkins CI and develop experience in DevOps tools like Git, Ansible, Docker, Puppet, Jenkins, Chef, Nagios, etc.

Machine Learning

AI and machine learning algorithms are being used to create some of the world’s most exciting experiences. Without the use of AI/ML, nothing can become reality. Regression, classification, clustering, and reinforcement learning are the four primary approaches used in machine learning. Those approaches address problems of various types in one of two ways: supervised learning or unsupervised learning. Enterprises are delighted to include these technologies in their applications. ML algorithms have also found their way into Java application development. As a result, Java programmers must master ML techniques for regression, scoring, and other tasks. There are many tools available for using Java and machine learning, including Apache Spark’s MLib, Deep Learning for Java, ELKI, JSAT, Java ML, and others.

Mobile Technology

With the development of mobile applications, Android application development is important for developers in 2021. Making an Android application with Java is an old technique, but there have been significant advancements in this area recently. For example, developing Android applications that can communicate with wearables. You should be aware that there are a bunch of new programming languages that may be utilized to build basic Android apps, like ReactJS, Kotlin, and others. As a Java developer, you’d have to be the finest in the area. Java is a strong programming language that’s widely utilized in enterprise-level software. While businesses are increasingly focusing on wearable and intelligent Android applications to control smart devices, you must have experience developing such a sophisticated Android app.

Spring Framework 5

Spring is the most widely used framework for developing Java applications, with applications ranging from streaming platforms to online shopping. It’s intended to be used as a backend for Java applications running on the Java Enterprise Edition platform. The framework is built around the dependency injection function. It’s ideal for creating Java-based commercial applications such as microservices, sophisticated data processing systems, cloud applications, or fast, secure, and responsive web apps since the framework’s development is transparent. Spring Framework 5.3.6 is the most recent version. Spring, Spring Security, and Spring Boot have been major releases in recent years. Spring native executables on GraalVM, Spring Data R2DBC, Kotlin multi-platform serialization, WebClient connector for Apache HTTPComponents 5, and other features have been added to this framework. All of these changes are important, and they may be required for developers to implement in 2021.

RestFul Web Services

You’ve probably heard of RestFul web services if you’re a developer. It is the most widely used API for Java application development. It provides ground-breaking support for building web services using the Representational State Transfer architectural paradigm as a Jakarta EE API standard. It makes deploying and developing web service clients and endpoints simple. In 2021, you’ll need to learn to develop REST APIs and use Spring to implement scalable web services in your projects. Overall, leveraging REST APIs to improve the speed of your applications is a successful way.

Cloud Computing

To stay up with changing business demands in 2021, Java developers will need to learn to design and integrate cloud solutions, since cloud technology is in great demand. Cloud computing has become highly important in the current organizational environment because of the on-demand availability of computer system resources such as data storage, processing power, and active user management. As a result, companies that use Java systems want their developers to be well-versed in cloud computing. Furthermore, it is prospering in the market, with several employment openings. As a result, you should consider studying Cloud.

IoT Application Development

Various devices will connect through the internet in an IoT environment. However, in order to communicate with other connected devices and exchange data, each connected device must have an embedded program. Java, unlike other programming languages, works on a variety of devices and systems. It facilitates the creation of a wide range of embedded applications by offering a comprehensive set of APIs and libraries. As a result, Java will be widely utilized by programmers to create embedded applications for IoT settings.

Development of Custom Big Data Solutions

Today’s businesses rely on bespoke software to analyze massive amounts of data gathered from numerous sources. Java lacks built-in capabilities that would make developing bespoke big data solutions easier. Developers, on the other hand, may quickly construct unique big data solutions in Java using a variety of development tools and frameworks. Java is the most popular programming language for big data projects because of open-source tools like Apache Hadoop, JFreechart, Deeplearning4j, and Apache Mahout, as well as Java frameworks like Accumulo, HBase, ElasticSearch, and others, which enable programmers to create custom big data solutions tailored to specific business needs.

• Xplenty is a cloud-based, simple-to-use data integration solution that lets you transfer, process, and convert more data quickly, saving set-up time and allowing organizations to unleash data faster.
• Cassandra (Apache Cassandra) is an open-source distributed data management system (NoSQL solution). It was built to manage enormous quantities of dispersed data over several servers, and it will keep working even if one of them fails.
• One of the basic technologies for big data is Apache Hadoop, which is built in Java. The Apache Software Foundation manages Hadoop, which is a free and open-source framework including tools, libraries, and frameworks. Hadoop, which was originally designed for scalable, distributed, and dependable computation and storage of large volumes of data, is quickly becoming the heart of many organizations’ big data architectures. Apache Spark, Apache Hive, Apache HBase, Kafka, and other software tools are part of the Hadoop platform.

Many programmers choose to write big data solutions in JVM programming languages such as Scala. For creating big data solutions in Java or Scala, there are a variety of IDEs available. Java will remain popular for developing custom big data solutions attributable to these development tools.

The Java programming language has many applications in the gathering, distribution, and analysis of large amounts of data. Data management in industries and associations becomes simple using Java. Furthermore, smart forecasts may aid an organization’s predictive analytics, resulting in wiser strategies and increased growth. While Java and robotics are not mutually exclusive, they do complement one another. If your company hasn’t yet automated its core processes, you’re wasting time and money. Robotization has become more efficient and convenient using the Java support system. This is the industry standard in 2021, and Java will play a key role.

Today I brought you some important points about the most useful and in-demand programming language in modern technology that you should be knowledgeable about this year. I hope you’ve learned a lot about the things that a Java developer should know. I hope you will be interested in this article and develop in the coming months to become a next-level Java developer.

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