prom2teams is an HTTP server built with Python that receives alert notifications from a previously configured Prometheus Alertmanager instance and forwards it to Microsoft Teams using defined connectors

Terraform module to convert Prometheus Alerting rules to Grafana-managed alert rules

TFTP Exporter for Prometheus

A Visual Studio Code extension to monitor application metrics and logs in real-time, integrating with tools like Prometheus and Grafana.

A production-grade AIOps framework focused on model integrity and autonomous reliability. Features a LightGBM-driven multiclass inference engine via FastMCP, validated against data leakage through NMI analysis. Includes real-time Population Stability Index (PSI) drift monitoring and a closed-loop human-in-the-loop feedback system for sustainable ML

ℹ️ PM2 prometheus exporter – monitor the status and metrics of your Node.js application (running via PM2) and visualize this data on Grafana dashboards.

Minimal ML CI/CD Proof-of-Concept using Titanic dataset with FastAPI deployment, monitoring, versioning and GitHub Actions automation.

Query Prometheus / Thanos metrics on OpenShift clusters — as a CLI and an MCP server for AI assistants.

Lightweight LLM API stack for local or cloud CPU deployment. OpenAI-compatible inference with llama.cpp, managed through Docker Compose with built-in monitoring, alerting, and request logging.

A novel adaptive security and deception platform using biological metaphors (protein folding, enzyme kinetics, immune response) with real cryptography, high-interaction honeypots, and Prometheus monitoring. Designed for biotech, pharma, and clinical research defense.

Transform CI/CD failure logs into real-time automated anomaly detection and root-cause classification using supervised machine learning.