The software industry goes through a lot of research and modified methodologies that keep the software quality top-notch for the end-user. 2014 saw the trend of mobile app testing as they were becoming a multi-billion dollar business all over the world. 2015 saw the trend of scriptless testing and IoT focussed methodologies. Again, this was shaped by the market trends and the increasing importance of both of this software.
One day suddenly the whole world locked down to prevent the pandemic from being spread uncontrollably. When machines and factories were all stopped – your social media, mobile applications, and all the digital world was still operating at the same pace as before. Even if you did not notice, millions of developers and testers worked from their homes to keep you online and help you share your thoughts, purchase essential supplies and view live news.
Microservices have an entirely new set of problems due to their distributed service-oriented architecture. As a result, microservice design patterns have surfaced. This post will consider the specific design patterns that can help us build reliable, secure and traceable microservices.
Modern-day applications aim to cover a wide range of users’ needs in a flexible and scalable manner. The software development landscape is moving at a fast pace, and the competition is so fierce that a business simply can’t afford to offer a low-quality product. Thorough testing of both functional and non-functional aspects of a software application has become an essential step in the software development process. It ensures that users get the best version of your product.
For something as complex as software development, there can be no “right” way of doing things all the time. Each project has its own set of variables, challenges, and idiosyncrasies. And every developer has a preferred way of working, which makes it difficult to set any hard and fast rules. But this doesn’t mean you should dive into your development projects head first, without guidelines or a methodology—albeit a flexible one—to inform the way forward.
Encapsulation is one of the fundamental concepts in object-oriented programming (OOP). Let’s examine how it’s done and unwrap some examples for this concept. By definition, encapsulation describes the idea of bundling data and methods that work on that data within one unit, like a class in Java. This concept is also often used to hide the internal representation, or state of an object from the outside. This is called information hiding. The general idea of this mechanism is simple.
The aim of your website is obviously to get potential customers to engage with it as much as possible, and ultimately, make a purchase. But as we well know, it isn’t as simple as someone landing on your website and instantly converting. 9 times out of 10, there’s a whole sequence of actions that take place before a customer makes a purchase. The best thing?
When AI came on the scene in analytics, Qlik took a very different approach than ‘black box’ tools. We felt strongly that AI should be utilized to enhance human intuition, instead of replacing it. And of course, the term augmented analytics is now well known. That’s not a coincidence.
