# joelparkerhenderson/queueing-theory

Queueing theory: an introduction for software development

Repository: https://github.com/joelparkerhenderson/queueing-theory
Canonical: https://ross.abutalabs.com/products/queueing-theory
License Family: other
Last push: 2026-06-07T05:51:49+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 86, release rhythm 35, longevity 100
- inputs: {"age_days": 2777, "days_push": 87, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2235, forks 76 (observed 2026-08-28T04:06:29.308758+00:00)

## What it is
An educational guide introducing queueing theory (the mathematical study of waiting lines) with applications to software development. It covers terminology, notation, Little's Law, KPIs, and DORA metrics for analyzing processes like customer service, kanban planning, message queues, and CI/CD pipelines.

## Use cases
- learn queueing theory for software development
- understand Little's Law for kanban planning
- analyze devops deployment pipeline throughput
- improve customer service response times with queue math
- learn queue terminology and notation
- apply DORA metrics to engineering processes

## When to choose
- you want a free introductory text on queueing theory applied to software teams
- you need explanations of lead time, wait time, utilization, and throughput concepts
- you're planning kanban systems or analyzing CI/CD pipelines mathematically

## When to avoid
- you need a software library or tool that computes queueing models
- you want rigorous academic treatment with proofs and exercises
- you need runnable code or simulations

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, developer-tools, performance
- platform: -
- tags: queueing-theory, littles-law, kanban, dora-metrics, educational-guide, devops, web-server

## Member repositories
- joelparkerhenderson/queueing-theory (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.308758+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:44:19.669041+00:00, confidence not recorded.
  - readme: https://github.com/joelparkerhenderson/queueing-theory (fetched 2026-08-28T04:06:29.308758+00:00, sha 7de21c8978f7)
- Data as of 2026-08-30T08:39:29.467469+00:00.