Distributing Parallel Virtual Image Application using Continuous Integrity/Continuous Delivery Based on Cloud Infrastructure

Integration and distribution applications to several production servers take a long time by the classical method. In this case, the application requires several libraries to run. Automated continuous integration/continuous delivery is a method that can make software development activity is more effective. The stages of development such as coding, executing, and distributing applications can be done automatically by system tools. This paper used the method to distribute generating named entity recognition model applications. In this case, the experiment named entity recognition model with computation parallel on more than one server. The results of the named entity recognition model experiment are faster and can reach more results than using one server. The infrastructure of architecture used to run automated continuous integration/continuous delivery uses cloud service. The implementation results of this automated continuous integration/continuous delivery run successfully and run multiple jobs on continuous integration/continuous delivery. The tools to implement this scenario such as GitLab, Jenkins, Docker, Private Image Repository, and the server operations system is Ubuntu server 18.04 Long Term Support 64 bit. The benefits of this paper, operational development activities by virtual image applications can integrate and distributed to several servers by automatically so that requires less time.