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Approaching Microservices Test Automation

Also, because the granular properties of microservices, boundaries at different levels must be tested too: units, components, and integration.


Unit testing

This helps validate the application component code to ensure they adhere to business logic.


This is usually the stage where the largest number of individual test units is processed and especially vital in microservices testing.

Large units can lead to complex tests randomly as services maximizing resource consumption with time.


Open-source XUnit testing framework or VCR recording code functionality can be used to test units.


Integration test



Because microservices communicate and run together to complete the business objectives, the test must check the demand that flows through the service to ensure the function of the communication channel as referred to.


Test Automation Suite such as Catalon Studio or Open-Source selenium can be used to run integration tests.


Component testing

As the name suggests, this type of test is used to test components or application services. Tests check microservices by forming mock services that resemble services used.


This helps validate communication between distributed services and its dependence such as databases and third party components.


Component testing can be done with the help of a hoverfly and similar fire simulator.


Contract testing

This is a test strategy that helps validate if two separate systems (two microsry services, in this case) compatible with each other.


The interaction between services is stored in a verified contract to ensure both sides obey it.




Tip-testing

End-to-end testing Microservices helps validate all system capabilities to meet business objectives regardless of the component architecture that is being used. Testers use testing this type to verify the accuracy of the message moving between services.



Make some end to the end test

Prioritize persona and customer trips

Make sure independent test data


Janghave Java and similar skeletons can be deployed to automate functional testing by using user stories to verify whether the system behaves as referred to.

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