Stop Sending Logs to Cloud: Local AI Log Analyzer Demo (Ollama)
🚀 Get the Code (Open Source): https://github.com/lockdoggg/LogSentinel-L...
In this demo, I show how to build a secure, self-hosted Log Analysis infrastructure using Local LLMs (Ollama/vLLM) instead of sending sensitive server data to OpenAI.
LogSentinel is a privacy-first tool designed for DevOps and SREs who need AI insights but operate under strict compliance (GDPR, PCI DSS).
🔥 Key Features Demonstrated:
1. Smart Data Masking: Automatically redacts PII, IPs, and Credit Cards before inference.
2. Local Inference: Zero data leakage using Qwen 2.5 / Llama 3.
3. Automated Root Cause Analysis: Detects stack traces and suggests fixes.
4. Enterprise Security: RBAC (Role-Based Access) and JWT Auth.
🛠️ Tech Stack:
Python (FastAPI)
Ollama / vLLM
SQLite
HTML/JS (No external dependencies)
💬 Have questions? Drop a comment or open an Issue on GitHub!
#LocalLLM #Ollama #DevOps #Python #CyberSecurity #MLOps #OpenSource #LogAnalysis #SRE