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All Journal E-Jurnal Ekonomi Pembangunan Universitas Udayana TRANSIENT: Jurnal Ilmiah Teknik Elektro SainETIn JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Informatika Global MULTINETICS Charity : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) eProceedings of Engineering
Bagus Aditya
Universitas Udayana
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : MULTINETICS

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IMPLEMENTASI DAN ANALISIS MIGRASI DATA LMS PADA KLASTER KUBERNETES ANTAR-PUBLIC CLOUD MENGGUNAKAN BACKUP DAN RESTORE Ranunegoro, Adimas Fachri; Dewanta, Favian; Aditya, Bagus
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5556

Abstract

Moodle is one of the media for learning management systems that are widely used today because non-face-to-face learning is unavoidable. Fluctuating user traffic makes moodle suitable for deployment to a public cloud. Public clouds are easier to scale, especially when combined with a container orchestrator such as Kubernetes. However, there are times when it is necessary to migrate data on a Kubernetes cluster from a public cloud to another public cloud to mitigate disasters in a specific region in the public cloud. Moodle applications can be routed to different regions, but this will cause high latency. This problem can be solved by migrating the Kubernetes cluster on Google Cloud to the same region on Microsoft Azure as an alternative public cloud. This final project will discuss the migration of a kubernetes cluster along with persistent volume data between public clouds from Google Cloud Platform to Microsoft Azure and vice versa using backup and restore methods. Velero is used as a backup and restore tool, then the restic plugin is added so that Velero can also backup and restore persistent volumes located outside the Kubernetes cluster. The test results show that Velero with the restic plugin can backup and restore persistent volumes outside the cluster. The larger the data size, the longer the backup, restore, and migration time will be. Backup and restore time for each incremental size of approximately 500 MB will increase the backup and restore time by approximately 10 seconds. Meanwhile, on the utility side, the amount of CPU usage during restore consumes more resources than when backup. At the time of backup, the maximum CPU spike was 3.5% at 3 GB data size in both public cloud clusters. Meanwhile, at the time of restore, the maximum CPU spike is 5% at 3 GB of data size.
Co-Authors Achmad Hidayatno Afrimadani, Salsa Nabilla Ahmad, Adam Fauzan Ajub Ajulian Zahra Macrina Amali, Lukman Izzatuyyazid atmam atmam, atmam Bambang Setia Nugroho Budi Prasetya Candra Setiawan Darwis, Muh. Farhan Doan Perdana Elvira Zondra, Elvira Favian Dewanta Heryati, Agustina I Wayan Sudirman Istikmal Kurniawan, Bintang Manalu, Jesseline Regina Maulana, Undang Prasetyo, Akmal Rusdy Ramdhani, Gilang Ranunegoro, Adimas Fachri Rusdy Prasetyo, Akmal Sabilarrusyidi Sitepu, Dharma Agung Sofia Naning Hertiana Sussi Sussi Tarigan , Jesikapna Kristina Br Tarigan, Muhammad Fahri Warsa, Candra Eka Dwi Yogi Saputra, Yogi