Configuration and Performance Management of Ansible to Deploy CMS Platform and Development of Odoo Server Automation Engine

Authors

  • Muharman Lubis Telkom University, Indonesia Author
  • Adityas Widjajarto Telkom University, Indonesia Author
  • Amalia Fiqhiyah Telkom University, Indonesia Author
  • Raihanah I. Ramadhani Telkom University, Indonesia Author
  • Arif Ridho Lubis Politeknik Negeri Medan, Indonesia Author

Keywords:

Configuration, Performance, Platform, Development, Automation

Abstract

In container technology, the deployment process becomes more complicated, time-consuming, and has extensive resources, hence, there is a necessity for a faster and more practical process. A very familiar one used among IT engineers and technicians is Kubernetes. Meanwhile, the configuration management tool for deployment that widely known is Ansible, as an innovation machine that enables automation for cloud availability, configuration management, application deployment, intra-service orchestration, and other IT needs. This study analyses the performance of Ansible configuration management tools to deploy a Content Management System (CMS) platform that is WordPress and MySQL using Ubuntu 16.04 LTS as a management node and target deployment. The parameters used in this test are measured in terms of the time interval, CPU usage, memory usage, and configuration management. It also analyzed the deployment of the Ansible automation engine to develop Odoo Server using the Google Cloud Platform (GCP). The measurements of the Ansible configuration showed that nodes do not affect the time interval. On CPU usage, the more the number of nodes, the smaller the CPU usage. The memory (RAM) usage on the number of different nodes indicates that the results are unstable. Meanwhile, this study also compares the Ansible automation engine between manual and automation development. 

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Published

2021-06-01

How to Cite

Configuration and Performance Management of Ansible to Deploy CMS Platform and Development of Odoo Server Automation Engine. (2021). Internetworking Indonesia Journal, 13(1), 19-25. https://www.internetworkingindonesia.org/index.php/iij/article/view/67