Best Server Monitoring Software for Elastic Observability
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Compare the Top Server Monitoring Software that integrates with Elastic Observability as of July 2025
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This a list of Server Monitoring software that integrates with Elastic Observability. Use the filters on the left to add additional filters for products that have integrations with Elastic Observability. View the products that work with Elastic Observability in the table below.
What is Server Monitoring Software for Elastic Observability?
Server monitoring software helps IT administrators track the performance, health, and availability of servers in real-time. These tools collect and display critical data on server resources such as CPU usage, memory consumption, disk space, and network traffic. By setting alerts for anomalies or performance degradation, server monitoring software helps prevent downtime and ensures servers run optimally. It often includes features like log management, automated reporting, and integration with other IT management tools. These solutions are essential for identifying potential issues early and maintaining the reliability of both on-premises and cloud-based server environments. Compare and read user reviews of the best Server Monitoring software for Elastic Observability currently available using the table below. This list is updated regularly.
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1
Prometheus
Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/Starting Price: Free -
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Icinga
Icinga GmbH
Icinga is a monitoring system which checks the availability of your network resources, notifies users of outages, and generates performance data for reporting. Scalable and extensible, Icinga can monitor large, complex environments across multiple locations. Icinga 2 is the monitoring server and requires Icinga Web 2 on top in your Icinga Stack. The configuration can be easily managed with either the Icinga Director, config management tools or plain text within the Icinga DSL. Find answers, take actions and become a problem-solver. Be flexible and take your own ways. Stay curious, stay passionate, stay in the loop. Tackle your monitoring challenge. The Icinga stack spans six core strengths that cover all aspects of monitoring. Level up with valuable insights and on-time notifications, eye-opening visuals and analytics. Icinga easily integrates within your systems, and gives you the power to automate your tasks.Starting Price: $0 -
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NGINX
F5
NGINX Open Source: The open source web server that powers more than 400 million websites. NGINX Plus is a software load balancer, web server, and content cache built on top of open source NGINX. Use NGINX Plus instead of your hardware load balancer and get the freedom to innovate without being constrained by infrastructure. Save more than 80% compared to hardware ADCs, without sacrificing performance or functionality. Deploy anywhere: public cloud, private cloud, bare metal, virtual machines, and containers. Save time by performing common tasks through the built‑in NGINX Plus API. From NetOps to DevOps, modern app teams need a self‑service, API‑driven platform that integrates easily into CI/CD workflows to accelerate app deployment – whether your app has a hybrid or microservices architecture – and makes app lifecycle management easier.
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