Systems | Development | Analytics | API | Testing

On-premises software accounted for 58% of the market share for tech deployment in 2020 and is projected to grow 30% by 2030. While cloud services will likely overtake this deployment method in the years to come, your business might not be able to afford to switch to the cloud anytime soon, especially if predictions about an impending recession come true.

The world you live in today is nothing like the world 50 years ago. In fact, thanks to rapidly changing technology, even ten years ago things were very different. Now, the world is in the middle of Industry 4.0, and APIs are essential to most business software. How are APIs and Industry 4.0 related? In this article, you’ll learn more about these APIs and API integration and how they work together.

Developers and engineers want to create great digital products faster, get them to market at record speeds, and eliminate the risks of downtime and poor user experiences. The traditional development approach often prevents this, as developers spend increasing hours meticulously coding workflows for thousands of tasks. Low-code development platforms are an increasingly popular solution for dealing with this challenge.

Ever since computers started to make their way into the workplace, application development has been a priority for businesses. As a company grows, there is a need for new applications to handle new business processes and make the most of new opportunities. However, the list of custom applications requested can turn into a backlog as you hit the limits of developer resources. To ease this burden, the concept of low-code application development has entered the enterprise.

Service-oriented architecture, also known as SOA, uses discrete, reusable components that let developers take a modular approach to product design and eliminate monolithic software. SOA functionality tends to meet the needs of organizations that rely on repeat business functions. Instead of building a complete web application to fill a specific need, SOA can reuse components to speed up application development and avoid mistakes.

As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.

Modern business runs on software. This involves storing business data, and moving that data from place to place. In the old days, software stored the data in a siloed fashion. This meant it was only available in one place, cutoff from the rest of the world. Companies struggled to pull data from different locations. Combining it in meaningful ways was difficult. This isolated data only provided a fraction of its potential value. In modern applications, the data wants to be free.

Data migration is something that all businesses will have to deal with at some point. Maybe a high level of growth has meant that you have too much data and need a larger server. Or maybe you want to move to a new cloud-based system. Regardless of the specifics, all modern businesses will know the power of unlocking data.

With low-code tools on the rise, building an Application Programming Interface (API) is simpler than ever. Given the ease of development, it is easy to overlook potential problems. Taking a bit more time in the design phase can ensure the API is truly useful, secure, scalable, and stable. Here, we’ll discuss the top ten most common API development mistakes to avoid.

When it comes to enterprise apps vs. microapps, most distinguish microapps as “tiny processes that perform targeted actions in a larger, more complex enterprise app.” While this definition is mostly true, it doesn’t give you the bigger picture of how microapps improve how your team members interact with enterprise-scale applications. Microapps can dramatically streamline workflows across an organization.