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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Consul

Consul makes it simple for services to register themselves and to discover other services via a DNS or HTTP interface. Register external services such as SaaS providers as well

     

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Gerrit

A Web based code review and project management system for Git projects

     

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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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Instrumental

Instrumental is a real-time, high-scale application and server monitoring tool with intelligent alerts, a powerful query language, and free development accounts.

     

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jmxtrans

Plugs Java VM statistics via JMX to various backend monitoring tools

     

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Logstash

A modern tool for managing events and logs, with an ElasticSearch backend which allows a high degree of searching and filtering. It includes a shipper in remote systems, indexer in the aggregator machine, and a Web UI.

     

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Logster

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

     

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Metrics

Captures JVM and application-level metrics for Java

     

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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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