Compare Checkmk vs. Paessler PRTG vs. Prometheus

Checkmk is an IT monitoring system that allows system administrators, IT managers and DevOps teams, to quickly identify and resolve issues across their entire IT infrastructure (servers and applications, networks, storage and databases, containers, etc. Checkmk is used daily by more than 2,000 commercial customers worldwide and many other open-source users. Key product features * Service state monitoring with nearly 2,000 checks 'outside the box' * Event-based and log-based monitoring * Metrics, dynamic Graphing, and Long-Term Storage * Comprehensive reporting incl. Accessibility and SLAs * Flexible notifications and automated alert handling * Monitoring business processes and complex systems * Software and hardware inventory * Graphical, rule-based configuration and automated service discovery These are the top use cases * Server Monitoring * Network Monitoring * Application Monitoring * Database Monitoring * Storage Monitoring * Cloud Monitoring * Container Monitoring

Paessler PRTG is an all-inclusive monitoring solution with an intuitive, user-friendly interface powered by a cutting-edge monitoring engine. It optimizes connections and workloads, reduces operational costs, and prevents outages. It also saves time and controls service level agreements (SLAs). This solution includes specialized monitoring features such as flexible alerting, cluster failover, distributed monitoring, maps, dashboards, and in-depth reporting.

Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://sourceforge.net/projects/prometheus.mirror/