OpenNMS vs Prometheus

July 22, 2023 | Author: Michael Stromann
10
OpenNMS
OpenNMS is a free and open-source enterprise grade network monitoring and network management platform.
24
Prometheus
An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

OpenNMS and Prometheus are two distinct open-source tools used for monitoring and managing IT infrastructures, each with its own strengths. OpenNMS is a comprehensive network monitoring and management platform that provides a wide array of features for monitoring network devices, applications, and services. It excels in scalability, fault management, and event correlation, making it well-suited for large and complex networks. On the other hand, Prometheus is a specialized monitoring and alerting toolkit designed for time-series data collection and analysis, specifically tailored for dynamic, cloud-native environments. It focuses on monitoring metrics from various components and services, enabling in-depth insights and alerting based on specific thresholds.

See also: Top 10 IT Monitoring software
OpenNMS vs Prometheus in our news:

2019. Zabbix 4.2 adds built-in support of Prometheus data collection



Zabbix Team has recently unveiled the launch of Zabbix 4.2. This latest version introduces a comprehensive monitoring system equipped with cutting-edge features, including data collection and processing, distributed monitoring, real-time problem and anomaly detection, alerting and escalations, visualization, and more. Zabbix 4.2 significantly enhances data collection capabilities, supporting diverse methods such as push and pull from various sources like JMX, SNMP, WMI, HTTP/HTTPS, RestAPI, XML Soap, SSH, Telnet, agents, scripts, and more. Notably, the integration with Prometheus has been added as a new feature, allowing native support for the PromQL language. Additionally, the utilization of dependent metrics empowers the Zabbix team to efficiently gather a vast amount of Prometheus metrics. By making a single HTTP call, all the required data can be retrieved and subsequently reused for relevant dependent metrics.

Author: Michael Stromann
Michael is an expert in IT Service Management, IT Security and software development. With his extensive experience as a software developer and active involvement in multiple ERP implementation projects, Michael brings a wealth of practical knowledge to his writings. Having previously worked at SAP, he has honed his expertise and gained a deep understanding of software development and implementation processes. Currently, as a freelance developer, Michael continues to contribute to the IT community by sharing his insights through guest articles published on several IT portals. You can contact Michael by email stromann@liventerprise.com