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cppla/serverstatus

4,653C++Audience · ops devopsComplexity · 3/5LicenseSetup · moderate

TLDR

A server monitoring dashboard that shows CPU, memory, disk, and network stats for multiple servers in one place, with configurable alert rules and uptime checks for websites and SSL certificates.

Mindmap

mindmap
  root((serverstatus))
    What it does
      Multi-server dashboard
      Real-time metrics
      Alert rules
    Metrics tracked
      CPU and memory
      Disk space
      Network traffic
    Alert channels
      Telegram bots
      PushDeer
      Custom HTTP callbacks
    Extra monitoring
      Website uptime
      SSL certificates
    Tech
      Cpp server
      Python client
      Docker
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Code map

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Things people build with this

USE CASE 1

Monitor CPU, RAM, disk, and network traffic across multiple VPS servers from a single web dashboard

USE CASE 2

Set up alert rules that notify you via Telegram or a custom webhook when a server goes offline or exceeds resource limits

USE CASE 3

Track monthly bandwidth usage across cloud machines and get alerted when a threshold is hit

USE CASE 4

Monitor external websites and SSL certificate status alongside server metrics

Tech stack

C++PythonDocker

Getting it running

Difficulty · moderate Time to first run · 30min

Requires running two Docker containers, one server and one client per machine you want to monitor.

Use, modify, and distribute freely for any purpose including commercial use, as long as you keep the copyright notice.

In plain English

ServerStatus is a server monitoring tool that lets you watch multiple servers from a single dashboard. If you manage several virtual private servers or cloud machines, this gives you a real-time view of each one's health: CPU load, memory use, disk space, network traffic, and whether the machine is online at all. The system runs in two parts. A server component collects the data and serves the dashboard web page. A client component runs on each machine you want to monitor, gathers the stats, and reports them back to the server. Both parts can be run as Docker containers, which means you can get them running with a few command-line steps without compiling anything manually. A watchdog feature lets you define alert rules using expressions based on the metrics being collected. For example, you can write a rule that triggers when CPU usage stays above 90 percent, or when a server has been unreachable for too long, or when a machine has used more than a given amount of monthly network traffic. When a rule fires, the system sends an alert to a URL you configure, supporting services like Telegram bots, PushDeer, and custom HTTP callbacks. Beyond server metrics, the config file also supports monitoring external websites over HTTPS and tracking SSL certificate status. You can check whether a site is reachable at regular intervals and get alerted if it goes down. The project is written primarily in C++ for the server component and Python for the client, and is released under the MIT license. Documentation and configuration examples are written in Chinese.

Copy-paste prompts

Prompt 1
I have a ServerStatus server running. Write me a config alert rule that fires when any monitored server CPU stays above 90% for more than 5 minutes and sends a Telegram notification.
Prompt 2
Help me write a Docker Compose file to run both the ServerStatus server component and a client on the same machine for a quick local test.
Prompt 3
I want to add HTTPS website monitoring and SSL certificate tracking to my ServerStatus config. Show me the config file entries I need.
Prompt 4
Write a ServerStatus Python client config that reports disk usage on /dev/sda1 back to my main ServerStatus server.
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