Desain Dan Implementasi Autoscaling Virtual Machine (VM) Pada Proxmox Terintegrasi Load Balancing Menggunakan Ansible

Justin  Irianto; I Putu  Hariyadi; Ondi  Asroni

doi:10.46229/jifotech.v5i2.1032

Authors

Justin Irianto Universitas Bumigora
I Putu Hariyadi Universitas Bumigora
Ondi Asroni Universitas Bumigora

DOI:

https://doi.org/10.46229/jifotech.v5i2.1032

Keywords:

Autoscaling, Proxmox, Ansible, Load Balancing, Virtual Machine

Abstract

The need for efficient and adaptive infrastructure is increasingly important as the complexity of virtualization-based services increases. This research aims to design and implement a horizontal autoscaling system integrated with load balancing on Virtual Machines (VMs) on the Proxmox platform, with the goal of improving resource utilization efficiency and automatically maintaining service availability. The system utilizes Prometheus for CPU metric monitoring, while Alertmanager sends notifications to webhooks that execute Ansible playbooks to add or remove VMs according to workload needs. This research uses the Network Development Life Cycle (NDLC) method which includes three main stages: analysis, design, and prototype simulation. Testing was conducted on three VMs, where one VM acts as a webserver running Nginx, Prometheus, Node Exporter, and Alertmanager, while the other VM is used for autoscaling and load balancing processes. The autoscaling mechanism is triggered when CPU utilization exceeds 80% for scale-up processes and falls below 60% for scale-down processes, with new VMs cloned from templates and automatically added or removed from the HAProxy backend. Test results show that the system is capable of automatically scaling VMs and dynamically updating load balancer configurations, with an average response time of 2 minutes 50 seconds for scale-up and 5 minutes 13 seconds for scale-down. This implementation has been proven to improve resource efficiency while maintaining continuous service performance in an on-premises virtualization environment.

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