---
title: "Understanding Queueing Theory"
url: https://daily.dev/posts/understanding-queueing-theory-oruboujom
source_url: https://www.bigbinary.com/blog/understanding-queueing-theory
type: article
source: "BigBinary"
published: 2025-06-03T10:41:05.711Z
updated: 2025-06-03T10:41:30.003Z
tags: ["performance", "rails"]
reading_time: 10
upvotes: 2
comments: 0
language: en
---

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# Understanding Queueing Theory

**[BigBinary](https://daily.dev/sources/bigbinary)** · 10 min read · 2 upvotes · 0 comments

## Summary

Queueing theory provides mathematical foundations for understanding background job systems like Sidekiq and Solid Queue. Key concepts include Little's Law (L = λW), which relates system load to processing capacity, and the critical insight that utilization above 70-75% causes exponential latency increases. The article explains how to calculate optimal parallelism using Amdahl's Law, considering I/O wait times and thread concurrency. Practical guidance covers determining the right number of Sidekiq processes based on offered traffic, target utilization rates, and theoretical parallelism calculations.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.bigbinary.com/blog/understanding-queueing-theory>

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---

Tags: [#performance](https://daily.dev/tags/performance), [#rails](https://daily.dev/tags/rails)

[View this post on daily.dev](https://daily.dev/posts/understanding-queueing-theory-oruboujom)
