Resource Monitoring and Usage Forecasting on

Overview

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This Chapter provides documentation on how different resources are monitored in OpenNebula. There are two primary monitoring mechanisms:

OpenNebula Built-in Monitoring: This system provides essential information about Hosts and Virtual Machines, which is utilized for managing the life cycle of each resource.
Integration with Prometheus: OpenNebula can be integrated with the Prometheus monitoring and alerting toolkit to enable seamless data center monitoring.

How Should I Read This Chapter

Before proceeding with this Chapter, ensure you have already installed your Front-end, configured KVM Hosts, and set up an OpenNebula cloud with at least one virtualization node.

Monitoring System

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The monitoring subsystem is represented by a dedicated daemon (onemonitord) running as part of the OpenNebula Daemon (oned), that gathers information relevant to the Hosts and the Virtual Machines, e.g., Host status, basic performance indicators, Virtual Machine status, and capacity consumption. This information is collected by executing a set of probe programs provided by OpenNebula. The output of these probes is sent to OpenNebula using a push mechanism. It’s part of the operating system package opennebula.

Resource Metrics

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This document provides an overview of the metrics collected by OpenNebula’s default probes for each resource type and explains how this data is utilized within the system.

Virtual Machine

The monitoring probes gather information attributes and insert them in the VM template. This information is mainly used for:

Monitoring the status of the VM.

Gathering the resource usage data of the VM.

In general, you can find the following monitoring information for a VM. Note that each hypervisor may include additional attributes:

Resource Usage Forecast

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Overview

The OpenNebula Resource Forecast system provides predictive insights into resource utilization across Hosts and Virtual Machines. By analyzing trends in CPU, memory, network, and disk usage, it allows administrators to proactively manage infrastructure, optimize resource allocation, and prevent performance bottlenecks.

Note

Resource forecasting is automatically enabled upon hypervisor package installation and requires no additional setup. For configuration options, refer to the Configuration and Optimization section.

Key Benefits

Proactive resource management – Identify potential constraints before they impact performance.
Enhanced capacity planning – Make data-driven decisions about infrastructure expansion.
Optimized workload scheduling – Improve VM placement based on predictive analysis to minimize resource contention and maintain stability.

When integrated with the OpenNebula Distributed Resource Scheduler (DRS), forecasting enables intelligent workload balancing, helping prevent bottlenecks and improve cluster efficiency.