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Icinga vs Prometheus
July 22, 2023 | Author: Michael Stromann
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An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
See also:
Top 10 IT Monitoring software
Top 10 IT Monitoring software
Icinga and Prometheus are two powerful open-source tools used for monitoring and observability in IT environments, but they serve different purposes. Icinga is a flexible and extensible monitoring system that excels in network and infrastructure monitoring. It provides comprehensive capabilities for monitoring hosts, services, and network devices, along with support for plugins and integrations, making it a robust solution for infrastructure health checks and alerting. On the other hand, Prometheus is a specialized monitoring and alerting toolkit designed for time-series data collection and analysis. It focuses on monitoring the performance and health of dynamic, cloud-native systems by collecting and storing metrics from various components. While Icinga is well-suited for traditional infrastructure monitoring, Prometheus is best suited for modern, microservices-based architectures.
See also: Top 10 IT Monitoring software
See also: Top 10 IT Monitoring software
Icinga 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.
