Chances are, you’re reading this blog post on your mobile device. That’s because more and more users - over 50%, to be exact - choose their mobile device for web browsing, online shopping and application interaction.
It’s standard practice for companies to monitor APIs during production to ensure that the live API endpoints are up, functioning quickly and returning expected information to the user. That way, testing teams know whenever something breaks down and can fix any issue before users notice any discrepancy.
But what if consumers find issues related to the API issue before you do? And what if the problem is more serious than slowness?
Consider the internet like Pandora's Box. The internet has become so powerful because of data and data about data.
For example, when you search the internet for something, you search for data about data. And a search proves to be useful only because someone preserved this information you were seeking somewhere over the internet. As technology advanced to support all this data, so too did the demand for big data applications.
APIs bridge the communication gap between an application and third-party apps. If an API doesn’t work efficiently or effectively, it can negatively impact software quality and business processes.
It’s hard to argue against the need to test APIs. However, how to do API testing can quickly become a confusing process.