Compare the Top Server Monitoring Software that integrates with CrateDB as of August 2024

This a list of Server Monitoring software that integrates with CrateDB. Use the filters on the left to add additional filters for products that have integrations with CrateDB. View the products that work with CrateDB in the table below.

What is Server Monitoring Software for CrateDB?

Server monitoring software enables organizations and IT teams to monitor the health and performance of their servers. Server monitoring software allows IT professionals to ensure the uptime of their servers, and to identify and mitigate issues. Compare and read user reviews of the best Server Monitoring software for CrateDB currently available using the table below. This list is updated regularly.

  • 1
    Telegraf

    Telegraf

    InfluxData

    Telegraf is the open source server agent to help you collect metrics from your stacks, sensors and systems. Telegraf is a plugin-driven server agent for collecting and sending metrics and events from databases, systems, and IoT sensors. Telegraf is written in Go and compiles into a single binary with no external dependencies, and requires a very minimal memory footprint. Telegraf can collect metrics from a wide array of inputs and write them into a wide array of outputs. It is plugin-driven for both collection and output of data so it is easily extendable. It is written in Go, which means that it is a compiled and standalone binary that can be executed on any system with no need for external dependencies, no npm, pip, gem, or other package management tools required. With 300+ plugins already written by subject matter experts on the data in the community, it is easy to start collecting metrics from your end-points.
    Starting Price: $0
  • 2
    Prometheus

    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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