On Queueing Theory for Large-Scale CI/CD Pipelines Optimization

Grégory Bournassenko

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arXiv · 2504.18705

On Queueing Theory for Large-Scale CI/CD Pipelines Optimization

Grégory Bournassenko

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Abstract

Continuous Integration and Continuous Deployment (CI/CD) pipelines are central to modern software development. In large organizations, the high volume of builds and tests creates bottlenecks, especially under shared infrastructure. This article proposes a modeling framework based on queueing theory to optimize large-scale CI/CD workflows. We formalize the system using classical $M/M/c$ queueing models and discuss strategies to minimize delays and infrastructure costs. Our approach integrates theoretical results with practical techniques, including dynamic scaling and prioritization of CI/CD tasks.

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Grégory Bournassenko. 2025-04-25. On Queueing Theory for Large-Scale CI/CD Pipelines Optimization. https://arxiv.org/abs/2504.18705

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