xavier-maugendre

xavier-maugendre / n8n-zabbix-glpi-prometheus-agent-qdrant-offline

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🤖 Workflow n8n : alertes Zabbix → tickets GLPI auto-diagnostiqués par IA (logs Loki + métriques Prometheus + RAG Qdrant)

19
3
100% credibility
Found May 07, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository offers a pre-built workflow for an automation tool that automatically creates, diagnoses with local AI, and closes support tickets in a ticketing system based on alerts from a monitoring tool, using local metrics, logs, and a knowledge base—all without sending data outside.

How It Works

1
🕵️ Discover the smart alert handler

You find this handy recipe that turns server trouble alerts into automatic support tickets with clever local thinking.

2
📥 Grab the blueprint

Download the simple file that has everything ready to go for your automation setup.

3
✨ Add it to your automation hub

Open your workflow tool, import the file, and watch it light up with all the built-in steps.

4
🔗 Link your tools together

Connect your alert watcher, ticket tracker, number tracker, log keeper, and local smart helper so they talk smoothly.

5
Switch it on and send alerts
⚠️
Trouble alert arrives

It gathers clues from everywhere, thinks deeply with past fixes, creates a detailed ticket, and notes it.

✅
All clear signal comes

It finds the matching ticket, adds a fix note, stores the lesson, and closes it neatly.

🎉 Alerts become smart tickets

From now on, server issues get instant diagnosis, auto-tickets, and self-closing when fixed—saving you hours.

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AI-Generated Review

What is n8n-zabbix-glpi-prometheus-agent-qdrant-offline?

This n8n workflow automates turning Zabbix alerts into GLPI tickets with AI-driven diagnostics, pulling in Prometheus metrics, Loki logs, and RAG from past incidents stored in Qdrant—all running 100% locally via Ollama and Gemma models. No data leaves your infrastructure, solving the pain of manual triage for on-prem monitoring stacks. Import the JSON as a ready n8n template, configure credentials for Zabbix, GLPI, and local endpoints, then trigger via a single webhook from Zabbix for problem or resolve events.

Why is it gaining traction?

It delivers full AIOps agent capabilities without cloud dependencies, unlike SaaS tools that leak logs and metrics. Devs dig the structured AI output—constat, logs analysis, hypothesis—for quick human review, plus auto-closure and Zabbix ack with ticket IDs. As a workflow n8n ai example, it hooks into common stacks like Prometheus and Loki, making it a fast win for alertes automation.

Who should use this?

DevOps teams running Zabbix 7.x, GLPI 10.x, Prometheus, and Loki in sovereign or air-gapped setups. Ideal for sysadmins drowning in high-severity alerts on Docker hosts, needing top-container/process identification without external APIs. Suits enterprises prioritizing data sovereignty over glossy cloud ITSM integrations.

Verdict

Promising n8n workflow for local AI incident response, backed by thorough docs and MIT license, but 19 stars and 1.0% credibility score reflect its early maturity—prototype thoroughly in staging. Worth forking if your stack matches.

(178 words)

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