Continuous testing is one of the various techniques related to the DevOps movement that deals with the execution of automated tests for new software developments in each of the stages of the software lifecycle to ensure software quality.

Some tools that allow us to implement a testing system are Jest or Cypress, frameworks for unit testing in JavaScript; PHPunit or Pest, for PHP; Pytest or TestProject, for Python and JUnit or TestNG, for Java.

These test suites can be automated using tools such as Selenium, Tricetis, or Testim, among others.

Therefore, one of the first conclusions we can draw is that the world of testing is quite advanced and allows both developers and companies to choose from a wide range of tools and possibilities when writing their tests.

These tools are incorporated within the software development lifecycle and are managed by the different CI/CD tools available in the market, which contribute to faster delivery of the developments.

One of the problems that many software developers have faced when creating and writing test suites is obtaining the data to be used in tests. It is even more significant in the case of QA engineers, who spend a considerable amount of time searching for, creating, or manipulating data sources to perform the tests.

Hence, the circle of continuous testing is closed by a combination of different tools, including a basic component such as data testing provisioning software. This type of software performs constant and on-demand provisioning, accelerating the testing process by more than 30%.

These tools spare developers, QA, and data engineers several time-consuming tasks such as creating, writing, searching, and manipulating data. In addition, using realistic data in testing provides greater security.

Data testing tools save costs and time by more than 50% combined, as long as they can be incorporated within a DevOps lifecycle where the automation of its states reaches 100%.