Back Pressure
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What is Back Pressure?
If queues start to grow significantly, the queue size can become larger than memory, resulting in cache misses, disk reads, and even slower performance. Back pressure can help by limiting the queue size, thereby maintaining a high throughput rate and good response times for jobs already in the queue. Once the queue fills up, clients get a server busy or HTTP 503 status code to try again later. Clients can retry the request at a later time, perhaps with exponential backoff.
More in stage 14: Asynchronism
Back Pressure: common questions
Can I learn Back Pressure in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Back Pressure in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Back Pressure tutorial for beginners?
It is lesson 41 of 147 in the free System Design roadmap, in stage 14, Asynchronism. If you are new to System Design, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.