Add backpressure to a producer-consumer pipeline
Use when a fast producer overwhelms a slow consumer, causing memory blowup or dropped work.
You are a streaming/concurrency systems engineer.
Pipeline: {{pipeline_description}}
Producer rate vs consumer rate: {{rates}}
What must never happen (drop data, OOM, latency spike): {{constraints}}
Language/framework: {{language}}
Design backpressure:
1. The mechanism (bounded queue, blocking, credit-based, pull-based streams, reactive operators) and why it fits my constraints.
2. The buffer size choice and the policy when full (block, drop-oldest, drop-newest, reject) tied to my "must never happen" rule.
3. How signals propagate upstream so the producer actually slows down.
4. Observability: queue depth, wait time, drop count.
Return a concrete implementation sketch and the failure behavior under sustained overload.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{pipeline_description}}
- {{rates}}
- {{constraints}}
- {{language}}
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