Using Python for Automated Testing In DevOps

What Is Automated Testing?

This is the process of using software tools to implement tests on codes as part of DevOps pipeline with the aim of making sure that the code works as expected and to catch any bugs or problems early on.

Certain tools are used in Automated testing for DevOps, they include:

Selenium
PyUnit
Behave
JUnit

Types of Automated Testing.

There a various types of Automated testing and they include:

Unit Testing:
The tests in this section involve individual units of codes.

Functional Testing:
In this section, the functionality of the software is the parameter put to test to make sure that it meets the required specifications.

Integration Testing:
This tests how different parts of the code work together.

Benefits of Automated Testing.

1. It provides faster testing than the manual setup/route.
2. The cost involved is lower than that of manual testing.
3. There is increased accuracy in automated testing.
4. It detects defects early in the development cycle.

Steps for using Python for Automated test in DevOps.

The process of utilising Python programme for Automated testing in DevOps is a delicate one and it requires a laid out procedure:

1. First thing you need to do is to choose a python testing framework like Behave or Pytest.

2. Next thing you need to do is to write test cases that would cover specific functionality in your application.

3. After that, Install the required libraries like Selenium or requests.

4. Set your test environment including dependencies and test data.

5. Write your Python test scripts for execution and validation of results.

6. Integrate tests with continuous Integration/ continuous Deployment (CI/CD) tools like CircleCi or Jenkins.

7. Run Automated Tests as part of the pipeline.

8. Monitor test results, maintain tests and continuously improve test performance