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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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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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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Apache Libcloud

Python library for interacting with many of the popular cloud service providers using a unified API.

     

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Logster

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

     

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Pallet

A tool to provision and maintain servers across various cloud platforms as well as virtual machine platforms, without any dependencies. Provides cloud and operating system independence.

     

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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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Zipkin

A distributed request tracking system, useful for micro-service and distributed architectures written in Scala

     

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