Hello DineshonJava readers and followers, Now we are in year 2018. This year, I hope, Many of java developers have made some resolution for this year. If you have made resolution for learning let’s see what top 10 things required for java programmer in 2018. In previous article, I have mentioned top 10 frameworks you must learn in this year.
I got major responses and queries about articles. Majority, I got queries about the which frameworks suitable for career and which one has major job opportunities. There are some frameworks are in good demand in the software industry.
Previous year 2017 was very special for me, because my book on the Spring 5 has been published. The title of this book is “Spring 5 Design Patterns“. This book is available on the Amazon website and also purchase in other websites.
Let’s see the following top 10 things are required to learn in this year.
There are many frameworks available in the market but some of frameworks have great demand in the market. Docker one of the containerization framework, it’s demand is increasing continuously, so its right time to decide to learn in this year 2018. I have started to learn Docker and Microservices with Docker.
Docker is the world’s leading software containerization platform. Docker is the company driving the container movement and the only container platform provider to address every application across the hybrid cloud.
It is code repository platform and distributed version control system. It is required to learn if you want to sustain in the software industry because more 70 to 80% companies are staring to use this system for version controlling.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
Git is easy to learn and has a tiny footprint with lightning fast performance. It outclasses SCM tools like Subversion, CVS, Perforce, and ClearCase with features like cheap local branching, convenient staging areas, and multiple workflows.
JUnit test cases are also important if you are working as a software developer.
Unit Testing is a level of software testing where individual units/ components of a software are tested. The purpose is to validate that each unit of the software performs as designed.
Jenkins is a software that allows continuous integration. Jenkins will be installed on a server where the central build will take place.
The adoption of CI/CD has changed how developers and testers ship software. These stages are part of a delivery pipeline. In Continuous integration, Developers practicing continuous integration merge their changes back to the main branch as often as possible. Continuous integration puts a great emphasis on testing automation to check that the application is not broken whenever new commits are integrated into the main branch.
In Continuous delivery, It makes sure that you can release new changes to your customers quickly in a sustainable way. you can decide to release daily, weekly, fortnightly, or whatever suits your business requirements.
Continuous Deployment goes one step further than continuous delivery. With this practice, every change that passes all stages of your production pipeline is released to your customers.
Learning Java 8 is also important because after java 5 it has major changes inducing lot of new features like Lambda etc. The JDK 9 brings a lot of goodies in terms of modules, Jigsaw, Reactive Streams, Process API, HTTP2 client, JShell, and API improvements like collection factory methods
This is one skill which is highly demanded in Software world and there are not many people who know both Java and REST well.
RESTful web services are built to work best on the Web. Representational State Transfer (REST) is an architectural style that specifies constraints, such as the uniform interface, that if applied to a web service induce desirable properties, such as performance, scalability, and modifiability, that enable services to work best on the Web.
Kafka is a messaging system that is designed to be fast, scalable, and durable. It is an open-source stream processing platform. Apache Kafka originated at LinkedIn and later became an open-source Apache project in 2011, then a first-class Apache project in 2012. Kafka is written in Scala and Java. It aims at providing a high-throughput, low-latency platform for handling real-time data feeds.
This is another big data framework which is gaining popularity. Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets.
Learning these frameworks will not only improve your chances of getting a job but also opens many doors of opportunities. Additionally, Scala is one of functional programming language can add benefits to your career growth. Apache Spark is also a good choice to learn in this year.
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