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Building an Open-Source HA Cluster: Proxmox VE + CEPH For “Five Nines” Service Continuity

Abdurauf AbdullayevDepartment of Computer Systems, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanBahodir ZaripovDepartment of Computer Systems, Tashkent State University of Economics, Tashkent, UzbekistanMaxsud MaxammadiyevDepartment of Computer Systems, Tashkent State University of Economics, Tashkent, UzbekistanErnazar ReypnazarovDepartment of Computer Systems, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanDoston KhasanovDepartment of Computer Systems, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanMehroj MaxamadiyevDepartment of Computer Systems, Uzbekistan State University of World Languages, Tashkent, UzbekistanDilnoza ShabonovaDepartment of Economics, Tashkent State Transport University, Tashkent, Uzbekistan
2025
ABI

Аннотация

This paper presents the design, deployment, and evaluation of a cost-efficient, open-source high-availability (HA) cluster for corporate IT services using Proxmox VE and Ceph. Motivated by national digital-transformation priorities, we implement a three-node Proxmox VE cluster with distributed Ceph storage, network segmentation for management/ replication/ client traffic, and HA orchestration via Proxmox HA-manager. On this platform we provision mission-critical services – file sharing, a replicated database tier, web hosting, and mail – and assess failure behavior under node and service fault scenarios. Measurements show automatic service recovery from physical-node failure in ∼120 s and VM-level recovery from process/guest failures in ∼10 s, meaning effective annual availability of up to "five nines" with elimination of single points of failure at compute, storage, and network levels. Reliability risks are explained in more detail, mitigation is described, and a rapid cost/benefit view emphasizing the viability of open technologies to resource-constrained organizations is given. Results indicate the proposed architecture is reproducible, scalable, and suitable for medium-to-large enterprises seeking HA without proprietary licensing overhead.

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Показатели — AkademScholar · Скоро