Promethius

Promethius

Prometheus is an open-source systems monitoring and alerting toolkit. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if certain conditions are met. It has a multi-dimensional data model and
opensource monitoring alerting metrics visualization

Prometheus: Open-Source Systems Monitoring and Alerting Toolkit

An open-source systems monitoring and alerting toolkit for collecting metrics, evaluating rule expressions, displaying results, and triggering alerts with a multi-dimensional data model and powerful query language.

What is Promethius?

Prometheus is an open source systems monitoring and alerting toolkit originally built at SoundCloud. Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community.

At the core of Prometheus is a multi-dimensional time series database that records real-time metrics from configured targets at given intervals. It can scrape metrics, counters, gauges and histograms over HTTP, exporters for services like HAProxy, StatsD, Graphite and many more. It also has a flexible query language to generate ad-hoc graphs and alerts.

Some key features of Prometheus include:

  • A multi-dimensional data model for time series data
  • PromQL, a flexible query language to leverage this dimensionality
  • No reliance on distributed storage, single server nodes are autonomous
  • Time series collection happens via a pull model over HTTP
  • Pushing time series is supported via an intermediary gateway
  • Targets are discovered via service discovery or static configuration
  • Multiple modes of graphing and dashboarding support
  • Built-in alerting support with AlertManager

Overall, Prometheus works well for recording any purely numeric time series across a diverse set of applications and systems. It allows easy generation of dashboards, graphs and alerts from the collected metrics data stored in its time series database engine.

Promethius Features

Features

  1. Metrics collection
  2. Alerting
  3. Visualization
  4. Highly dimensional data model
  5. PromQL query language
  6. Multiple modes of graphing and dashboarding support

Pricing

  • Open Source

Pros

Open source

Highly customizable and extensible

Pull-based monitoring

Powerful query language

Efficient storage of time series data

Easy to deploy and configure

Cons

Steep learning curve

Resource intensive for large environments

Limited built-in dashboarding

No built-in anomaly detection


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