Beware of These Shortcomings When Deploying Distributed Java Apps

At different levels of industry as well as individual practices, different software apps are deployed and incorporated in the business model in order to perform technical tasks and operations in a more streamlined manner. Furthermore, several development technologies are tried and tested in the making of such software, in order to render them with maximum effectiveness and innovativeness. The scope of the application is expanded by putting different technologies at work.

Java is one technology which has many takers. Most developers prefer programming their apps on the Java platform because such apps can be deployed on any hardware system without making any major modifications in the code. Why? Well, thanks to the sophisticated development process. In Java, code for each program is compiled at the bit-level, i.e. it is first converted into a binary file. Thus, it can be easily executed across all platforms. This also makes Java a suitable choice for deploying applications in a distributed environment which comprises of network-based systems which are based out of different platforms and hardware configurations.

However, when it comes to deploying Java based apps in a distributed environment, many developers face challenges. This post discusses some of these challenges and the primary reasons why they crop up. Have a look.

• Performance: If you are working on traditional programming languages like C, identifying loopholes causing low performance of an application is easy, but in case of Java identifying performance issues in a distributed environment can be painstaking. Thanks to the execution model in Java, the performance overhead is appended in a distributed model. On the other hand, if you are working with native applications, the problem is addressed in a more productive manner, making it an issue to develop and deploy the distributed applications on the Java platform.

• Efficient Memory Management: In Java, Virtual Machines or JVMs host the components in an application and thus undertake all memory management tasks. So, even if developers make an efficient app that runs perfectly in a distributed environment, they cannot guarantee the same efficient memory management on a remote machine. This becomes even more gruesome when certain nodes over the network start performing poorly in terms of memory usage and allocation.

• Reliability: For those who wish to develop a multi-tasking application using the Java platform, ‘threads’ pose as a perfect solution. However, it is a different story in a distributed environment. In case of distributed software, use of too many threads multiplies the chances of causing issues like deadlock or resource contention. And if any such issues crop up, they can cause a system to freeze and pose serious run time errors and performance issues. In such a scenario, offshore Java developer is required to assess the code at component level to ensure that the application is functioning aptly and to check if there are any run-time errors.

It is painstaking to test applications in a distributed environment as most of them reside on the systems and thus require simultaneous testing. In order to test applications for testing and reliability purposes, developers have to make use of certain assisting software and tools, which can make the app performance-oriented and eliminate any errors which are present in the application. So if you are planning of deploying an app in a distributed environment, be mindful about these shortcomings and prepare yourself with ways to overcome them.