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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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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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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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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