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Graylog vs Prometheus
July 31, 2023 | Author: Michael Stromann
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Graylog is a leading centralized log management solution for capturing, storing, and enabling real-time analysis of terabytes of machine data.
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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 SIEM software
Top 10 SIEM software
Graylog and Prometheus are both powerful tools used for monitoring and logging in modern IT infrastructures, but they serve distinct purposes. Graylog primarily focuses on centralized log management, offering a comprehensive platform for collecting, indexing, and analyzing logs from various sources, making it ideal for gaining insights into system events and troubleshooting issues. On the other hand, Prometheus specializes in time-series-based monitoring and alerting, designed to gather metrics from applications and services, enabling real-time monitoring and scalability analysis. While Graylog excels at log aggregation and in-depth analysis, Prometheus stands out in its ability to provide a robust monitoring solution that empowers users to proactively identify and respond to performance and operational concerns.
See also: Top 10 SIEM software
See also: Top 10 SIEM software
Graylog 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.
