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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Glances
A cross-platform, curses-based monitoring tool written in Python
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Herd
A bittorrent based file distribution system based on Twitter’s Murder. It uses BitTorrent to push artifacts and code very fast across thousands of servers.
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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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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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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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