Evaluation of using knowledge retention practices in a DevOps workflow

Abstract: This thesis explores applying DevOps practices to mitigate knowledge loss in project-based environments. In the context of high developer turnover, the study aims to implement a standardised DevOps workflow using automation and knowledge management. The research questions of the thesis are answered by following a method consisting of interviews, requirements gathering, implementation of a DevOps workflow focusing on knowledge management practices and evaluation using a DevOps maturity model. The study finds that explicit knowledge practices, including issue tracking, code reviews, and knowledge repositories, are complemented by developers’ tacit knowledge. Additional practices including testing standards, coding standards, and containerisation also contribute to knowledge retention. Integrating these practices into a DevOps workflow involves automation, tool integration, and continuous workflow through a CI/CD pipeline. The research evaluates the organisation’s initial maturity level at level 1 ("Initial") in technology and process areas. However, implementing the proposed DevOps workflow increases the maturity level to level 3 ("Defined"). This, in turn, indicates that knowledge management practices can be integrated into a DevOps workflow to mitigate knowledge loss further.