Our effect pipeline handles the Success and Failure cases automatically. If a function returns Success, the subsequent function in line will be called. In the case of a Failure, the pipeline terminates.
The API recognizes that synchronous data sources are both necessary and common. The application should not be forced to always accept the performance cost of asynchronous scheduling simply because that's the only option provided. At the same time, mixing sync and async processing can be dangerous. Synchronous paths should always be an option and should always be explicit.
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