A step-by-step decision process for application migration to cloud-native architecture

Daniel Olabanji, Tineke Fitch, Olumuyiwa Matthew

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review


Cloud-native architecture is changing the cloud computing environment and introducing new dimensions to cloud computing adoption through the advancement in virtualisation, scalability and automation. However, many organisations found it challenging to adopt cloud-native architectures because of some issues, mainly the decision-making around migration because of the need for the adoption decision process. However, there are many decision-support systems or processes for cloud computing. Nevertheless, the additional characteristic and complexity of cloud-native architecture made many organisations find it challenging to adopt cloud-native architecture solutions. The need for a new decision-support process for the migration of either a native cloud application or legacy application to cloud-native architecture is highly needed to help the developers to be able to select the choice of model and whether to migrate or not. Therefore, this paper provides a step-by-step decision process for an organisation to migrate their application to cloud-native architecture to fill the gap. The decision process depends on the step-by-step cross-analysis of the steps and the tasks to help identify and resolve critical constraints that can affect migration into cloud-native architecture. An expert evaluation method was used to evaluate the decision process and steps. The decision process was helpful as they informed the decision makers about the needful steps and tasks to consider before migrating to the cloud-native architecture.
Original languageEnglish
Title of host publicationAdvances in Information Systems, Artificial Intelligence and Knowledge Management
Subtitle of host publication6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings
EditorsInès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig
Number of pages15
ISBN (Electronic)978-3-031-51664-1
ISBN (Print)978-3-031-51663-4
Publication statusPublished - 20 Jan 2024
Externally publishedYes
Event6th International Conference on Information and Knowledge Systems - Portsmouth, United Kingdom
Duration: 22 Jun 202323 Jun 2023

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356


Conference6th International Conference on Information and Knowledge Systems
Abbreviated titleICIKS 2023
Country/TerritoryUnited Kingdom

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