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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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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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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Apache Libcloud
Python library for interacting with many of the popular cloud service providers using a unified API.
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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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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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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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Statsd
A network daemon that listens and collects statistics and sends aggregates to many pluggable backend services
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Supervisor
Supervisor can manage application processes. It can start and stop a group of processes, restart processes if any of them terminate (keep-alive), start multiple instances of the same process (process pooling), automatically manage PID files, and much more! Very useful if you need to manage multiple processes for your application.
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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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Zipkin
A distributed request tracking system, useful for micro-service and distributed architectures written in Scala
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