Monitor and manage Docker containers from Telegram with AI log analysis This workflow gives you a smart Telegram command center for your homelab. It lets you monitor Docker containers, get alerts the moment something fails, view logs, and restart services remotely. When you request logs, they're automatically analyzed by an LLM so you get a clear, structured breakdown instead of raw terminal output. Who it's for Anyone running a self-hosted environment who wants quick visibility and contr

Monitor and manage Docker containers from Telegram with AI log analysis This workflow gives you a smart Telegram command center for your homelab. It lets you monitor Docker containers, get alerts the moment something fails, view logs, and restart services remotely. When you request logs, they're automatically analyzed by an LLM so you get a clear, structured breakdown instead of raw terminal output. Who it's for Anyone running a self-hosted environment who wants quick visibility and control without SSHing into a server. Perfect for homelab enthusiasts, self-hosters, and DevOps folks who want a lightweight on-call assistant. What it does Receives container heartbeat alerts via webhook Sends Telegram notifications for status changes or failures Lets you request logs or restart services from chat Analyzes logs with GPT and summarizes them clearly Supports manual “status” and “update all containers” commands Requirements - Telegram Bot API credentials - SSH access to your Docker host How to set it up 1. Create a Telegram bot and add its token as credentials 2. Enter your server SSH credentials in the SSH node 3. Deploy the workflow and set your webhook endpoint 4. Tailor container names or heartbeat logic to your environment Customize it Swap SSH commands for Kubernetes if you're on k8s Change the AI model to another provider Extend with health checks or auto-healing logic
Download the workflow JSON file after purchase.
Open n8n → click the menu → Import from File.
Select the downloaded JSON and import.
Set up credentials for each node that requires them.
Click Execute Workflow to test, then activate.
Setup guide included
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