Cacti vs Zabbix
July 25, 2023 | Author: Michael Stromann
See also:
Top 10 IT Monitoring software
Top 10 IT Monitoring software
Cacti and Zabbix are both popular open-source network monitoring tools, each offering distinct features and capabilities. Cacti is renowned for its focus on graphing and data visualization, utilizing SNMP (Simple Network Management Protocol) to collect data from network devices and presenting it through visually appealing graphs and charts. It excels in providing historical performance metrics over time, making it ideal for users who prioritize data visualization. On the other hand, Zabbix is a comprehensive network monitoring platform that emphasizes real-time monitoring and alerting. It supports various monitoring methods, including SNMP, IPMI, and JMX, and offers a user-friendly interface with detailed performance metrics and trend analysis. Zabbix is known for its strong alerting capabilities, allowing users to respond quickly to network issues.
See also: Top 10 IT Monitoring software
See also: Top 10 IT Monitoring software
Cacti vs Zabbix 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.