A Survey of DevOps Concepts and Challenges

By Leonardo A. F. Leite, Carla Rocha, Fabio Kon, Dejan S. Milojicic, Paulo Meirelles. ACM Computing Surveys, 2019

405 citations recorded by the source corpus.

DevOpsis a collaborative and multidisciplinary organizational effort to automate continuous delivery of new software updates while guaranteeing their correctness and reliability. The present survey investigates and discusses DevOps challenges from the perspective of engineers, managers, and researchers. We review the literature and develop a DevOps conceptual map, correlating the DevOps automation tools with these concepts. We then discuss their practical implications for engineers, managers, and researchers. Finally, we critically explore some of the most relevant DevOps challenges reported by the literature.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/057fa9f555c806cf7f2fc26ec88202dbb85682b3

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In Information Systems

1. Sebastian Hirschl
2. Dominik Kreuzberger
3. Niklas Kühl

Citations in the corpus

• Machine Learning Operations (MLOps): Overview, Definition, and Architecture (2022, background): “Due to the commercialization of DevOps, many DevOps tools are emerging, which can be differentiated into six groups [23,28]: collaboration and knowledge sharing (e.g., Slack, Trello, GitLab wiki), source code management (e.g., GitHub, GitLab), build process (e.g., Maven), continuous integration…”