Search Results for "ping monitor alert"
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Showing 9 open source projects for "ping monitor alert"
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Glances
An eye on your system
Glances is an open source, cross-platform monitoring tool that aims to provide a significant amount of monitoring information through a curses or Web-based interface. Depending on the size of the user interface, this information can then dynamically adapt. Glances can work in client/server mode, and is also capable of remote monitoring. All systems statistics can be exported to files or external time/value databases. Glances gets information from your system through various libraries,... -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. ... -
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System Resource Monitor
SRM a lightweight desktop app for real-time CPU and Memory monitoring.
System Resource Monitor is a lightweight, Python-based desktop application designed for real-time monitoring of CPU and Memory performance. Built with Tkinter for the GUI, Matplotlib for dynamic graphing, and Plyer for cross-platform desktop notifications, this tool empowers users to keep track of CPU and memory usage efficiently. With customizable update intervals, data exporting capabilities, and built-in alerts for resource spikes, System Resource Monitor is perfect for anyone looking to... -
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PC Workman HCK
AI-powered PC monitoring that explains. Not shows numbers/spikes.
Your PC says CPU 87%. PC Workman says why, since when, and what to do about it. Real-time system monitor with built-in offline AI. No cloud. Your data stays on your machine. What's inside: -hck_GPT: 82-intent AI assistant. -Ask it anything about your PC in Polish or English. -9-layer routing, learns your usage patterns over weeks. -TURBO mode: one click stops unnecessary services (Gaming/Work/Economy profiles), switches power plan, flushes RAM, freezes idle apps. -
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GROWbox Supervisor System (GROWSS)
Automated Plant Environment Growing System using Raspberry Pi
GROWbox Supervisor System (GROWSS) is a grow box or grow cabinet environmental controller. GROWSS uses a Raspberry Pi (RPI) & Grove sensors to monitor and control the environment in your grow box or cabinet. Environmental factors such as temperature, humidity, soil moisture, & smoke (from fire) are monitored and displayed on a terminal connected to the RPI & on a mobile app. GROWSS also controls the exhaust fan and grow lights based on the time interval (ie. 12 hours on/12 hours off) &... -
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Emon
Remote server monitoring application
...You do not need to install any applications on the monitoring servers, because Emon uses SSH and /proc directory to get the monitoring data. All you need to do is just configure Emon in XML and create an SSH user. After configuration, you are ready to monitor ping, dns, ports, url, CPU, RAM, SWAP, disk, traffic and log files of multiple servers in the terminal. If something goes wrong, Emon will send email to the admin. Emon is able to send the statistics (dropouts and graphs) to the admin. -
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nagios-statd patch
nagios-statd patch for use with python >= 2.6
The nagios-statd daemon allows a Nagios server to monitor and alert about various resources on remote Linux machines. If using python >= 2.6 on the remote server, nagios-statd stops accepting connections after 39 consecutive requests in a short period of time. This patch can be applied to any nagios-statd 3.12 version released by April King on 11/17/2005. It's been tested to work with python 2.3 - 2.7. -
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A very simple availability monitor written in python/tkinter that is easy to configure and use.
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this is a server monitoring system written with python 2.5 with pyodbc. this ping,http and SQL a remote server to monitor its up time. any downtime of remote server more than 3 times will insert a record into database. and email will be sent to recipents
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