Deploy n8n for AI-Driven Cluster Monitoring and Log Analysis

[binaryn3xus]

[FEATURE] Deploy n8n for AI-Driven Cluster Monitoring and Log Analysis

🚀 Overview

Implement an event-driven automation layer using n8n to aggregate logs from Home Assistant and the Kubernetes cluster. These logs will be analyzed by our local LLM (Ollama) to identify "silent errors" and provide human-readable troubleshooting summaries.

🎯 Goals

• Deployment: Deploy n8n via Flux using a HelmRelease.
• Integration: Connect n8n to Kubernetes API, Loki (logs), and Home Assistant.
• AI Logic: Build a workflow that sends log snippets to the P2000-hosted Ollama for analysis.
• Notification: Route AI-summarized insights back to Home Assistant or Discord.

🏗️ Proposed Workflow Logic

1. Fetch: Query Loki for logs with level error or warning in the last hour.
2. Context: Filter out known "noisy" or "heartbeat" logs.
3. Analyze: Send the remaining log blob to Ollama (Llama-3-8B) with a specialized SRE prompt.
4. Report: If a significant pattern is found, create a persistent notification in Home Assistant.

---

📋 Implementation Task List

Phase 1: n8n Deployment (GitOps)

• Create kubernetes/apps/n8n directory.
• Define HelmRelease for n8n (using PostgreSQL as the persistence layer via CloudNativePG if available).
• Configure Ingress/Gateway API for internal access to the n8n UI.

Phase 2: Connectivity

• Create a ServiceAccount and ClusterRoleBinding to give n8n read-only access to cluster logs.
• Integrate Home Assistant Long-Lived Access Token (LLAT) as a credential in n8n.
• Link the local Ollama service as a "LocalAI" or "Ollama" node in n8n.

Phase 3: Workflow Development

• Design the "Silent Error Hunter" workflow.
• Implement a deduplication logic so the same error doesn't trigger multiple alerts.
• Test the "Log-to-Insight" pipeline using a forced error in a test namespace.

---

📚 References & Inspiration

• Video Guide: Smart Kubernetes Troubleshooting with n8n - Detailed walkthrough of building an AI monitoring agent.
• n8n Documentation: n8n LangChain Nodes
• Community Resources: K8s-at-home n8n charts

Notes: This setup will leverage the Quadro P2000 node for the LLM processing, ensuring that heavy log analysis doesn't impact the performance of the core MS-01 control plane.