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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Capistrano
The Ruby equivalent of Fabric, Capistrano is a Ruby framework to configure and run deployment or system administration tasks on local or remote machines. It extends the Rake DSL to define tasks, and can group tasks by Roles.
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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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Errbit
An open source, self-hosted error catching tool, which can collect and manage errors from other applications. It is compatible with the Airbrake API and can be used as a drop-in replacement.
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Fabric
Fabric is a python framework to configure deployment or system administration tasks, and then run those tasks on local or remote systems. It uses SSH heavily for interacting with remote systems, and uses Roles to group tasks
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FastForward
Flexible operating-system event and metric forwarding agent. Receives input and forwards output using plugins.
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FnordMetric
A HTML5/Javascript API for collecting and visualizing time series data
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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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Kibana
Kibana is a modern, beautiful visualization tool that works seamlessly with Logstash and ElasticSearch. It features a no-code setup, realtime analytics, and much more.
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log.io
Realtime log monitoring directly in the browser, without any persistence layer in the middle!
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Logster
Reads log files and generates metrics in Graphite, Ganglia or Amazon CloudWatch
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Mina
A Ruby Rake-like DSL for fast deployment and automation, similar to Capistrano but faster and lesser overhead, since it creates only a single SSH connection for a deploy
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Monigusto
A collection of Chef recipes to install various monitoring tools (such as sensu, statsd, etc). Makes it a breeze to get a monitoring infrastructure up and running
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Orc
A model driven orchestration tool for deployment of application clusters
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Puppet Dashboard
A web interface for Puppet. It can view and analyze Puppet reports, assign Puppet classes and parameters to nodes, view inventory data and backed-up file contents, etc.
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SaltStack
Salt is a powerful and different approach to infrastructure management, by focusing on high speed communications between large number of systems, and can perform orchestration, remote code execution and much more.
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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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Statsd
A network daemon that listens and collects statistics and sends aggregates to many pluggable backend services
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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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Uptime
An externally deployable application that keeps pinging and monitoring the uptime and availability of your real applications and services. It helps you track these metrics from the outside without affecting any of your servers.
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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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