But implementing this in a continuous manner takes these benefits one step further. Consider Continuous ImplementationsĪdopting automated API testing is a crucial part of improving developer efficiency-as covered previously-subsequently delivering high-quality software and reducing time-to-market. For many companies, it’s no longer enough to generate a few rows in a database for testing-it simply won’t simulate real-world conditions accurately enough when accounting for the complexity, scale, and variability of data experienced in modern production environments. This is especially crucial once you start integrating tests more deeply into your infrastructure, like what’s covered in the next section.Ĭonsidering how varied user behavior and data is becoming in the modern world, using real-world data is important. Use Real-World DataĪs you automate more and more parts of your application, you’ll need to ensure that the tests provide as much insight as possible, which is only possible by using real-world data. That said, there are major benefits from implementing testing continuously, as you’ll see in a few sections. However, test automation can be as simple as writing a script to ensure consistency between test runs. In the software development world-especially in modern cloud and microservice environments-it’s easy to assume that test automation inherently means integration into CI/CD pipelines. The benefits of doing this-consistent execution, catching bugs early, increased test coverage, repeatability, etc.-goes for automating other parts of your testing as well. Many companies are performing some kind of test automation already, from creating scripts that execute a series of sequential commands that would otherwise have to be run manually, to automating most of the execution and creation. Automate TestingĬontinuing the idea of creating an efficient testing process, you need to consider how automation can become an integral part of your workflow, which becomes much easier once you’ve defined a streamlined testing strategy. Having a testing strategy allows you to plan tests according to how quickly they run and how likely they are to catch common issues, on top of streamlining the development process as a whole. Then you move on to more advanced tests such as performance testing. Having a strategy makes the entire process much more efficient and insightful.įor example, in most cases you want to start with unit testing, ensuring the functionality of your application. Given how many different types of tests can be run- unit tests, integration tests, load tests, etc.-it’s crucial to have a proper strategy before moving forward. This section covers in general terms what proper testing looks like, showcasing key aspects of testing that every developer should be familiar with and consider. With a good testing tool you can verify reliability, performance, and security as part of the software development process rather than waiting for user reports. API Testing EssentialsĬreating a good user experience is at the core of making a good product, and proper testing can play a key role in ensuring that no user experiences issues with your product. With this in mind, we’ll take a look at the Top 5 API testing tools available on the market today. Plus, manually writing tests is time-intensive for developers, further increasing the need for tools that can help developers test their cloud services using real-world scenarios. As more companies focus on creating highly efficient and agile environments, testers are in need of easy-to-use, intelligent automation tools for testing APIs.Ĭonversely, inefficient API testing can result in businesses not discovering issues with their cloud services in time - meaning customers are likely to be impacted by them. Many of the current test automation solutions focus on the UI, while most API-level testing is still done manually. Today’s software testing trends show the growing demand for more efficient and automation-oriented API testing.
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