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Code coverage is a unifying force between development and QA testers; however, it can be challenging to measure with microservices architectures. The insights from code coverage visibility improve test strategies, increasing collaboration and mitigating the risk of untested code in production.
End-to-end testing is essential for verifying software functionality and compatibility, but it can also sometimes lead to compromises in regression test coverage as new builds are quickly promoted from development. To address this, understanding code coverage in each microservice can optimize regression testing in a DevOps pipeline, ensuring thorough testing while maintaining efficiency.
Learn how microservices code coverage can empower development and testing teams to: