Auto-configuration is probably one of the most important reasons why you would decide to use frameworks like Spring Boot. Thanks to that feature, it is usually enough just to include an additional library and override some configuration properties to successfully use it in your application.
These days there’s a mobile application for everything: dating, music, insurance claims, gaming, email, ride sharing, and so forth. By the time that you imagine an application, it’s most likely available for download. More importantly, as clients connect with organizations, they hope to work with them by means of their smartphones.
Hybrid mobile app development with Ionic guarantees that you have the speed of web advancement alongside the customized client experience that comes through local portable application improvement. These Ionic framework applications are worked through HTML5, CSS, and JavaScript web measures and run inside a compartment that lets them be introduced likewise to a local application. Furthermore, once made, you can distribute your hybrid application in the Apple, Google, and Windows App Stores.
This is the first question most beginners ask when they struggle to relate unit test cases with real scenarios, like what value-added unit testing is doing. This was my first thought after reading JUnit documents fifteen years back. I am sure most new developers would have similar feelings after reading unit test documents alone, but I realized that unit testing is a powerful tool to release defect-free code to production. The unit testing helps to do regression testing and gives confidence for new developers to make changes to the old codebase.
MUnit is an extension of JUnit. Developers are allowed to write XML-based test cases or Java code-based test cases for Mule flows. This document covers MUnit basics, practical options for different scenarios, and automating the business validations.
AWS Lambdas provide a convenient environment in which to run short-lived applications without having to worry about provisioning the underlying hardware or manage operating systems. In this post, we’ll look at a simple Java application that can run as a Lambda.
The source code for this application is available on GitHub.
We all know that unit test cases are one of the most important parts of an application. No? Then, I must tell you that unit testing is one of the earliest tests to be performed on the unit of code, and the earlier the defects are detected, the easier it is to fix. It reduces the difficulties of discovering errors contained in more complex pieces of the application.
So where does mocking come into the picture? Why do we need it? And how do we understand what we should mock while writing unit test cases? Answers to these questions are right below in this blog.
We are living in the cloud age, which means developers do not need to set up their own local machine or dedicate on-premise environment to implement, test and run their application. They just create a VM machine in the cloud to perform those tasks.
In the financial world, what would you need to get the actual update of the stock price that you just bought? You can use your phone to watch it live with any apps, but was it live? And as a developer, how do we transfer such data to the hands of app users?
The version control system is a way to manage files/directories to track file changes so that a specific version of files can be tracked later without conflicts.
Git is one of the distributed version control systems that help in:
LRU (or Least Recently Used) is a cache eviction strategy, wherein if the cache size has reached the maximum allocated capacity, the least recently accessed objects in the cache will be evicted. Also, the objects in the cache could be accessed by multiple threads in an application so is very important that the cache has a good synchronization mechanism in-built. This article describes the implementation of a Java-based cache with LRU eviction strategy, but fundamentally, this applies to any programming language.
You may also like: Introducing Caching for Java Applications
BULL (Bean Utils Light Library) is a Java-bean-to-Java-bean transformer that recursively copies data from one object to another. It is generic, flexible, reusable, configurable, and incredibly fast.
It’s the only library able to transform Mutable, Immutable, and Mixed beans without any custom configuration.
This article explains how to use it, with a concrete example for each feature available.
Do you want to implement an HTTP server, but do you not want to take any risk of writing a full-fledged HTTP server? Developing an HTTP server with full capability is not a trivial task. But Java has got a solution to this kind of problem. Java supports an in-built HTTP server. By just writing 100 lines of code, we can develop a somewhat-decent HTTP server that can handle HTT$$anonymous$$ET and POST requests. We can also leverage it to handle other HTTP commands as well.
Java SDK provides an in-built server called HttpServer. This class belongs to com.sun.net package.
