The Internet of Things (IoT) is more than just a thing. It’s become a global phenomenon that’s revolutionizing our perception of the online experience in relation to our connection with the real world. The internet is no longer exclusively for computers, smartphones and tablets when everyday devices as simple as toasters and coffee machines are elevated to “smart” status.
And it’s not going away anytime soon.
API integration testing is the future. The digital world is really just an expanse of application interactions and communication. If your product cannot participate correctly and efficiently in the worldwide give and take of automated endpoint dialogue, it will break.
API testing moves the scrutiny of this functionality into the build process within staging and development environments. The resulting tests ensure core functionality, are quicker than functional GUI testing, and are easily integrated with GUI tests.
Cloud computing has become a synonym for potential opportunities and capabilities in today's digital world. Almost every product we use is connected to the cloud in some way or another — unless it’s kept in local storage. The cloud industry is maturing at a rapid pace, and the technology has made its way across enterprises of all shapes and sizes. Cloud computing is carried using a special API: Cloud API. Our expert engineers have shared their insights into this growing technology and what to consider when testing open APIs.
In response to the continued loss of bombers during World War II, one country’s air force decided to add additional armor to its planes. Since the extra weight would cause a loss in performance, they had to be strategic. The obvious answer was to analyze the bullet holes in returned aircraft and place extra plating at the concentration of fire.
Wrong.
Put the pressures of the test cycle out of mind. In order to know why API testing is so important - especially during healthcare application development - you must take a calm step back to consider exactly what that specific testing does for your organization.
Top-quality API testing improves the coverage of your test cycle, saves resources, and creates a faster, more efficient process.
The Internet of Things, also referred to as IoT, is all about unifying the smart objects that surround us. These are objects that we instinctively think of as “smart,” like our phones, tablets, computers, and other personal, digital devices. But the IoT umbrella also includes things that we might overlook cars, bicycles, home alarm systems, coffeemakers but which have the capacity to generate, store, and share vast amounts of information about us, their owners and users.
APIs are used to integrate and bridge the communication between various areas of an application, as well as with other third-party apps. If the APIs are not working efficiently and effectively, they can negatively impact the associated business processes. It is absolutely critical to test APIs. In order to test APIs, there are some steps that must be completed in order to be successful with API testing.
In this interconnected age, API testing is one of-if not the most important form of testing. Testing APIs is quicker than functional GUI testing, ensures core functionality and is easily integrated with GUI testing. As with any endeavor, there are challenges that will arise. Testing APIs is not an exception. Is there a way that software companies can be prepared for when these obstacles occur? Yes, there is. Our expert API engineers have put together a detailed guide with tips to help companies prevent and overcome API testing challenges.
APIs, or Application Program Interfaces, have become an integral way of connecting people, their devices, and the information they need. They allow different applications to interact with one another and transfer data back and forth—they’re the main vein for app integrations and single sign-on functionality, and are essential to the rise of the Internet of Things (IoT).
There are plenty of benefits and advantages to API testing, but the high-level ones that matter most to engineering teams and the larger business are improved test cycle coverage, better Agile processes between dev and QA teams, huge time savings, and the ability to test the application in any core language.
