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DockWatch: Lightweight Docker Monitoring with Anomaly Detection & Telegram Alerts

Are you flying blind with your Docker containers? One command changes that. I built DockWatch — a lightweight, self-hosted Docker monitoring dashboard that gives you full visibility into your containers with zero configuration. W…

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Are you flying blind with your Docker containers? One command changes that.



I built DockWatch — a lightweight, self-hosted Docker monitoring dashboard that gives you full visibility into your containers with zero configuration.






What is DockWatch?



DockWatch runs as a single Docker container and collects real-time CPU, memory, network, and disk metrics from all your containers and the host machine. Everything is displayed in a clean, dark-themed web UI that auto-refreshes every 10 seconds.



No agents to install. No external database. No complex setup. Just mount the Docker socket, run one command, and you're done.






Key Features




  • 📊 Real-time Dashboard — Dark-themed UI with sortable tables and Chart.js charts

  • 🔍 Container Monitoring — CPU %, memory %, network I/O, block I/O, restart count

  • 🌡️ Host Monitoring — CPU/GPU temperature, disk usage, load average

  • 🚨 Anomaly Detection — 6 built-in rules: CPU spike, memory overflow, high temp, disk full, unexpected restart, network surge

  • 📱 Telegram Alerts — Instant notifications with 30-minute cooldown per alert type

  • 🔒 Security — Basic Auth, rate limiting, HTTPS (self-signed or Cloudflare Tunnel)

  • Lightweight — Only 4 Python packages, SQLite with 7-day retention






Quick Start






git clone https://github.com/deep-on/dockwatch.git && cd dockwatch && bash install.sh






That's it. The interactive installer sets up authentication, Telegram alerts, and HTTPS in under a minute.



Requirements: Docker (with Compose v2), Git, OpenSSL






Anomaly Detection



DockWatch watches your containers 24/7 and alerts you before users notice:




































Rule Condition
Container CPU >80% for 3 consecutive checks
Container Memory >90% of limit
Host CPU Temp >85°C
Host Disk >90% usage
Container Restart restart_count increased
Network Spike RX 10x surge + >100MB


All thresholds are configurable via environment variables.






Access Modes





  • Local Network — Self-signed SSL, access via https://localhost:9090


  • Remote Access — Port forwarding option


  • Cloudflare Tunnel — Recommended for remote access, no port-forwarding needed, proper TLS certificate






Why I Built This



Existing Docker monitoring solutions are either too heavy (Prometheus + Grafana stack) or too simple (just showing container status). I wanted something in between — lightweight enough to run on a home server, but smart enough to catch problems automatically and ping me on Telegram.



DockWatch is the result: 4 Python dependencies, a single HTML file for the UI, and SQLite for storage. It stays out of your way until something goes wrong.






Try It Out



🔗 GitHub: https://github.com/deep-on/dockwatch



Feedback, issues, and PRs are welcome! If you find it useful, a ⭐ on GitHub goes a long way.






Built by DeepOn Inc.

CTI Threat Relationship Graph3 Knoten / 2 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Vulnerability Remediation & Verification
title: Detect Exploitation - DockWatch: Lightweight Docker Monitoring with Anomaly Detection & Telegram Alerts
id: 4f069bbc-0a29-4de8-b596-d8fbecbfa739
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "DockWatch: Lightweight Docker " ascii wide
    condition:
        any of them
}
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich DockWatch: Lightweight Docker Monitoring.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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Thematisch verwandte Begriffe: DockWatch, Lightweight, Docker, Monitoring · 6 Treffer

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