API testing in DevOps mode

Successful API testing in a DevOps environment is essential to establishing seamless communication between the application and the system. This eliminates errors and builds a robust and functional application.

An application programming interface or API is an important set of tools, protocols, or programs that help connect applications and servers and communicate with each other without human intervention. This allows the Internet to remain a vast repository of interconnected applications that provide users with different types of services.

For example, if you can log into popular sites like Quora using Facebook or Google, they will be validated by an API that works behind the scenes. Another example is the evaluation of websites that collect information from related websites and provide them on a single platform.

Similarly, APIs help mobile applications interact with multiple elements and environments, such as devices, operating systems, memory, processors, and networks. Without an API, applications running on mobile are wasted.

Because APIs play a crucial role in the functionality of your application, you need to test your API to identify hidden glitches that can face application malfunctions and latency. In both cases, the application does not provide the desired result, leading to customer dissatisfaction. And if not addressed properly, the dissatisfaction will eventually be reflected on the organization’s balance sheet. API testing requires endpoint checks according to the DevOps methodology, as API flaws can affect the customer experience. Methodologies include continuous integration (CI), continuous testing (CT), and continuous delivery (CD).

Strategies for testing APIs with DevOps models

  • Initial setup: Test setup should start at the design stage of the application and include test automation to measure how the API works under stress conditions.
  • Schema Updates: The best way to avoid API changes and the resulting downtime is to test in beta and alpha driven environments. Thus, testing according to the schema greatly reduces the number of glitches.
  • Combinations of parameters: The API performs communication between applications or systems through data requests in which parameters are assigned specific data values. To anticipate the existence of a glitch in a particular configuration, comprehensive testing of all parameter combinations must be performed. The type of glitch in such tests can include assigning two data values ​​to a single parameter, or include a text value that is displayed instead of a number.
  • Ordering API Calls: If API calls need to be displayed in a particular order, the test team can face ordering issues. To overcome this scenario, test teams need to create flowcharts to visualize API calls. By doing this, development teams can quickly build and integrate API calls without creating glitches.

Conclusion

Without proper testing of the API, the digital conversion process can be disrupted. You need to identify and eliminate glitches that can prevent communication between the application and the system.

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