The problem gets worse in pipelines. When you chain multiple transforms – say, parse, transform, then serialize – each TransformStream has its own internal readable and writable buffers. If implementers follow the spec strictly, data cascades through these buffers in a push-oriented fashion: the source pushes to transform A, which pushes to transform B, which pushes to transform C, each accumulating data in intermediate buffers before the final consumer has even started pulling. With three transforms, you can have six internal buffers filling up simultaneously.
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Throughout the development of our microservices, we heavily leveraged dependency injection. As part of a .NET web application's startup process, you register the individual types that should be part of the inversion of control (IoC) container. Individual classes inject their dependencies as interfaces in their constructor arguments. This allows different concrete implementations to be used depending on the context. For example, an interface for a telemetry client may be utilized throughout the codebase. The concrete implementation in the live-service sends actual telemetry data to a remote endpoint. A mocked implementation is used in unit tests to validate the correct event would be sent at the appropriate time.