How to Reduce Lead-Times in Long Devops Agile Projects
- DOI
- 10.2991/978-2-494069-83-1_8How to use a DOI?
- Keywords
- Agile; Project Management; Digital Transformation (DT); Devops; Cloud deployments; Continuous Integration (CI); Continuous Deployment (CD)
- Abstract
Longer Lead times in Devops process has shown to be a challenge to manage and costly for organizations if unplanned for long-term (longer than 1 month) agile projects. According to [11], typical agile lead duration varies between from one to four weeks. Therefore, agile by design is supposed to be short. However, if agile exceeds the threshold of more than one month, then organization needs to introduce ongoing/controlling mechanism to bring it back to be short again. The aim of this paper is to outline how such ongoing planning/controlling mechanism can be developed for long-term agile projects. In recent years, almost 50% of organization has suffered economical losses [12] and teams burn-out due long-term agile projects. Therefore, it is key to understand the core agile process for Digital Transformation; Continuous Integration (CI) and Continuous Deployment (CD) to help manage the key challenges which this paper outlines in three sub-sections. Also, this paper demonstrates how innovation process in agile should help organization to excel as successful organizations like in [3] have done.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mahmoud Abou-Gabal PY - 2022 DA - 2022/12/30 TI - How to Reduce Lead-Times in Long Devops Agile Projects BT - Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022) PB - Atlantis Press SP - 43 EP - 47 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-83-1_8 DO - 10.2991/978-2-494069-83-1_8 ID - Abou-Gabal2022 ER -