LocalFoodAI_lanfr144/docs/zabbix_monitoring.md

Zabbix Telemetry & Monitoring Guide

Overview

The Local Food AI project enforces strict DevSecOps observability by streaming live hardware and database telemetry metrics to an external Zabbix server (192.168.130.170:8081).

Accessing the Dashboard

1. Open your browser and navigate to http://192.168.130.170:8081.
2. Log in using your Zabbix credentials (default: Admin / zabbix).
3. On the left sidebar, click Monitoring > Dashboards.
4. Select the Food AI RAG Telemetry (Live) dashboard.

Key Metrics Monitored

The dashboard automatically queries the SNMP daemons running inside the Docker containers to monitor:

• Memory Consumption: Evaluates the massive RAM usage required by the Ollama Llama3.2:1B LLM during clinical evaluations.
• CPU Spikes: Identifies processing bottlenecks during the 3GB OpenFoodFacts MATCH AGAINST queries.
• Database Row Count Check: Displays the real-time record count of food_db.products_core to monitor the background CSV ingestion progress.

Verifying Alerts

1. Click Monitoring > Problems.
2. If snmpd inside a container crashes or is unreachable, Zabbix will trigger an Agent Unreachable High-Severity Alert.
3. If the Database Server container crashes, Zabbix will trigger an alert via the Application Python snmp_notifier.py wrapper which sends asynchronous trap payloads indicating critical RAG failures.