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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Brooklyn

A Java based deployment tool, focused on both deployment as well as post-deploy lifecycle management. It is aware of network topologies, integrates with many cloud and PaaS APIs, and is designed to handle the entire roll-out

     

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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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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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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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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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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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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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Rundeck

Turns your operational procedures into self-service portal. Define common operational tasks in the Rundeck web portal, and safely hand it over to the rest of the team so that they can perform these tasks without you being around.

     

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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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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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