Systems | Development | Analytics | API | Testing

Fandom is now global. And the extraordinary opportunity that presents is balanced by the demands that fan expectations place on your digital platform. No matter where they are–front-row seats or five timezones away–people engage with your fan experience to enjoy an immersive, immediate experience. However, as more fans take part, you might find that your platform hits a reliability and scale ceiling.

Your application is built to deliver value. But without strong analytics, you may be leaving ROI on the table. Until now, embedding analytics features has been an afterthought, a luxury that’s hard to justify for your application.

Object-Oriented Programming has different concepts allowing developers to build logical code. One of these concepts is polymorphism. But what is polymorphism? Polymorphism is one of the core concepts of object-oriented programming (OOP) that describes situations in which something occurs in several different forms. In computer science, polymorphism describes the concept that you can access objects of different types through the same interface.

Are you also struggling to ensure thorough test coverage while managing time and resources efficiently? Black box testing can help!

AI code generation is at a Pareto threshold. The first 80%—writing simple, functional snippets—is relatively straightforward. But the last 20%? That’s where it gets tricky. Building resilient, adaptable systems isn’t just a technical hurdle; it’s a leap of imagination and engineering, similar to the journey toward self-driving cars. Remember when everyone thought fully autonomous vehicles were “just around the corner”?

What are your test failures really telling you? Here’s how to reduce the noise in your test failure rates so you can identify the critical issues that need your attention most.

One of the main challenges while building a software application is data storage. An easier way would be to store data in Excel and its likes, but they don’t really help with large amounts of data. When dealing with high volumes of data, a database is a better choice. You can either opt for a relational database such as Microsoft’s SQL Server, or a non-relational database such as MongoDB.

Neglecting data privacy in your business is like forgetting to lock your house doors and then leaving the country to enjoy your holidays. Sooner or later, someone will take advantage and break in. Similarly, if your business collects, stores, and analyzes customer data on a daily basis but neglects data privacy and security, you’re immediately exposed to several risks and large legal penalties. And in the process, you’ll experience financial loss and lose the trust of your customers.