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Integration testing verifies interactions between components or services to detect interface defects, data flow problems, and integration risks early. It combines automated and manual tests to validate contracts, dependencies, and external integrations. Used across microservices, APIs, and data pipelines to reduce production failures.
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Integration testing checks whether multiple connected components work correctly together.
The approach grew from the need to test interfaces between modules, services, and external systems reliably. In software quality it became a distinct test level between module and system testing; current practice combines that idea with realistic dependencies such as databases or containers.
Imagine several gears: each may work alone, but only their shared motion reveals whether teeth, speed, and handoffs fit. Integration testing examines those handoffs.
It marks where two components or systems communicate.
It provides the dependent services and data required by the test.
It describes the inputs and results an interface expects.
Integration tests reveal early whether individual building blocks work reliably as a combination. They reduce surprises at boundaries and complement fast unit tests with more realistic flows.
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