Achieving reliable high-frequency releases in cloud environments

Liming Zhu; Donna Xu; An Binh Tran; Xiwei Xu; Len Bass; Ingo Weber; Srini Dwarakanathan

doi:10.1109/MS.2015.23

Achieving reliable high-frequency releases in cloud environments

Liming Zhu, Donna Xu, An Binh Tran, Xiwei Xu, Len Bass, Ingo Weber, Srini Dwarakanathan

CSIRO Agriculture and Food

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Continuous delivery and deployment are dramatically shortening release cycles from months to hours. Cloud applications with high-frequency releases often rely heavily on automated tools and cloud infrastructure APIs to deploy new software versions. The authors report on reliability issues and how these tools and APIs contribute to them. They also analyze the trade-offs between using heavily baked and lightly baked virtual-image approaches, on the basis of experiments with Amazon Web Service OpsWorks APIs and the Chef configuration management tool. Finally, they propose error-handling practices for continuous-delivery facilities.

Original language	English
Article number	7006340
Pages (from-to)	73-80
Number of pages	8
Journal	IEEE Software
Volume	32
Issue number	2
DOIs	https://doi.org/10.1109/MS.2015.23
State	Published - 1 Mar 2015
Externally published	Yes

Keywords

DevOps
continuous delivery
continuous deployment
release engineering
software engineering
system administration

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10.1109/MS.2015.23

Cite this

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Achieving reliable high-frequency releases in cloud environments

Abstract

Keywords

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