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TransformStream creates a readable/writable pair with processing logic in between. The transform() function executes on write, not on read. Processing of the transform happens eagerly as data arrives, regardless of whether any consumer is ready. This causes unnecessary work when consumers are slow, and the backpressure signaling between the two sides has gaps that can cause unbounded buffering under load. The expectation in the spec is that the producer of the data being transformed is paying attention to the writer.ready signal on the writable side of the transform but quite often producers just simply ignore it.
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int randomIdx = low + rand() % (high - low + 1);
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.