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In a microservices architecture, independent services collaborate via APIs, message queues, and data stores—creating complex interaction patterns. To verify that these components operate seamlessly together, you need a comprehensive approach such as integration testing. This form of testing evaluates how different modules, services, and subsystems communicate, ensuring that the contract boundaries, data flows, error-handling, and edge cases are covered.
Relying on unit tests alone is insufficient when services evolve independently. You may verify internal logic of each service, but miss failures that occur at service boundaries, or defects introduced by asynchronous flows, version mismatches, or side-effects. That’s why teams must monitor both service-level coverage and inter-service behavior to identify gaps where service interactions go untested.
To elevate coverage further, modern practices combine code-coverage metrics with synthetic and real-traffic-based test generation. Solutions like Keploy can observe actual traffic traversing your microservices network and automatically generate integration tests that mirror real system usage. These generated tests help validate critical service flows that might otherwise remain blind spots. By integrating these tools into your pipeline, you gain deeper insights into system behavior, reduce maintenance burden, and increase confidence in releases.
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