AmonOne

A modern, self-hosted server monitoring system with system monitoring, process monitoring and notifications

     

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Anthracite

Tracks and manages all events that can have business and/or operational impact (deploys, manual changes, outages, press releases, etc) and provides metrics and reports

     

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bugsnag

Monitor everything you're building.

     

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check_mk

Check_MK is an extension to the Nagios monitoring system that allows creating rule-based configuration using Python and offloading work from the Nagios core to make it scale better, allowing more systems to be monitored from a single Nagios server. It comes with a set of system checks, a mod_python and JavaScript based web user interface, and a module that allows fast access to the Nagios core. On top of Nagios it also adds additional features

     

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Glances

A cross-platform, curses-based monitoring tool written in Python

     

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Icinga

Icinga is an enterprise-grade monitoring system. It was forked from Nagios and has added many often new features and patches, including a HTML5 UI, REST interface, dynamic tables, etc. It is also backwards compatible with Nagios, so all the existing plugins can be reused.

     

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Logster

Reads log files and generates metrics in Graphite, Ganglia or Amazon CloudWatch

     

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Raygun

Raygun keeps a watchful eye on your web and mobile applications and tells you when problems arise.

     

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Rollbar

Detect, diagnose and defeat errors.

     

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Scales

Metrics for Python, tracks python state and statistics. Inspired by the Metrics library for Java

     

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Sentry

Automate error tracking to find and fix issues before your users even experience a crash. Sentry is open-source, real-time, and loved by 100,000 developers around the world.

     

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Supervisord Monitor

Supervisord Monitor is multi server monitoring tool for supervisor - watch, start and stop all your supervisord instances and servvices from one place.

     

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Vaurien

A Chaos Monkey for TCP, it randomly disconnects or stalls TCP connections in your application to test application tolerance and high availability. Makes sure you correctly handle these unexpected events

     

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