Testing a microservices-based application means testing each service individually and the connections between them — a fundamentally different challenge than monolith testing.
Microservices architectures split large applications into many small, independently deployed services that communicate over APIs, which means QA teams have to test both each service in isolation and the overall system's ability to coordinate across all of them.
Unit tests catch problems early in the build pipeline, while integration tests confirm that a service's inputs and outputs behave correctly once connected to the rest of the system; from there, system and user-acceptance testing validate real use cases using tools like Selenium and JMeter.
Because traditional testing can only simulate limited endpoints, service virtualization tools have become important for replicating realistic call patterns, and monitoring APIs continuously rather than only in the live customer environment helps catch issues before they become visible failures.