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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Assimilation System Management Suite
The Assimilation Suite discovers systems, services, network connections, configuration and dependencies, IP and MAC addresses. This all goes into a continually updated graph-based configuration management database (CMDB). This is then compared and scored against best practices, services and servers are monitored - all with near-zero configuration - in a way that scales to hundreds of thousands of servers. It also provides visualization tools, APIs for sending alerts to humans and other systems, and a variety of canned reports (queries) to aid in securing and managing systems, hooking into ChatOps, and creating plans for triaging your security issues
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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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Consul
Consul makes it simple for services to register themselves and to discover other services via a DNS or HTTP interface. Register external services such as SaaS providers as well
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Cronitor
Monitor cron jobs, daemons and almost anything else. No more silent failures.
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Glances
A cross-platform, curses-based monitoring tool written in Python
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Graphite
Graphite is a visualization tool for statistics configured from various sources. You can create customizable reports and dashboards, and it is one of the preferred backends for Statsd
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Healthchecks
Cron Monitoring. Get Notified When Your Cron Jobs Fail
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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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InfluxDB
InfluxDB is a time series, metrics, and analytics database. It’s written in Go and has no external dependencies. InfluxDB is targeted at use cases for DevOps, metrics, sensor data, and real-time analytics.
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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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Logster
Reads log files and generates metrics in Graphite, Ganglia or Amazon CloudWatch
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Netdata
netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards.
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Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit built at SoundCloud.
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Riemann
Riemann aggregates events from servers and applications, notifies exceptions, tracks latency, collects system statistics and more, all with a powerful stream processing language
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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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Weave
Weave creates a virtual network that connects Docker containers deployed across multiple hosts. Services provided by application containers on the weave network can be made accessible to the outside world, regardless of where those containers are running. Similarly, existing internal systems can be exposed to application containers irrespective of their location.
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