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Stream implementations can and do ignore backpressure; and some spec-defined features explicitly break backpressure. tee(), for instance, creates two branches from a single stream. If one branch reads faster than the other, data accumulates in an internal buffer with no limit. A fast consumer can cause unbounded memory growth while the slow consumer catches up, and there's no way to configure this or opt out beyond canceling the slower branch.
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Because every interaction passes through runEffect, we can easily implement a redaction layer to scrub personally identifiable information, like credit card numbers or emails, before they ever hit the trace log.
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