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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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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CloudRepo
Public and Private Maven and Python (PyPi) repositories. Fully managed and highly available repository hosting.
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Djangy
An open source cloud hosting service for Python/Django web applications. Its like an open source Heroku for python/django
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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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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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jclouds
A Java Library for controlling cloud resources, with various plugins for many popular cloud providers.
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jmxtrans
Plugs Java VM statistics via JMX to various backend monitoring tools
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KairosDB
KairosDB is a fast distributed scalable time series database written on top of Cassandra. RESTful JSON-based query/results. Includes flot-based visualization.
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Apache Libcloud
Python library for interacting with many of the popular cloud service providers using a unified API.
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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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OverOps
Know when, where, and why code breaks in pre-production and production.
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Prevoty Application Monitoring & Protection (AMP)
Prevoty enables DevOps to inject security into your web applications and web services. Protection is provided at runtime from within the application itself, and stays with the app regardless of deployment method (cloud, on-premises, etc). Applications are protected against threats including XSS, SQLi, CSRF, command injection, etc. Works with Puppet, Chef, Ansible, Docker, Splunk, QRadar, ELK, and many others.
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Pulumi
Create, deploy, and manage Cloud Native infrastructure, as real code. A single toolset for infrastructure, managed services, containers, and serverless environments on any cloud infrastructure. You get all the benefits of real programming languages; IDEs, abstractions and reuse thanks to functions, classes, and packages, debugging, testability, and 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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Server Density
SaaS server and availability monitoring providing alerting, historical graphing, dashboards and log search.
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Statman
Statman makes it possible to instrument and collect statistics from your high-traffic production Erlang systems with very low overhead. The collected data points are aggregated in the VM and can be sent to services like Graphite, Munin, New Relic, etc.
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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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