cloud-monitoring

An active monitoring software to detect failures before your customers do.

Lets Map Your Network enables you to visualise your physical network in form of graph with zero manual error

OVH VPS/Cloud Monitoring via OVH API

90+ production-safe OpenStack tools for AI agents via MCP. Project-scoped & read-only by default. Works with Claude, Open WebUI & any MCP client. FastMCP + OpenStack SDK. Available on PyPI, Docker Hub & Smithery.

Prometheus cloud SD service for discovering AWS and Alibaba Cloud databases, middleware, and node exporter targets.

Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in cloud-native environments.

Cloud Monitoring and Alerting Tool built by SIESGSTarena Platform Team (WIP)

Catalyst to Meraki migration tool and bot

MLOps Loan Approval Prediction System

Redis monitoring application for performance and prediction of failure. Used Pang Data Cloud Monitoring Service.

A repository showing example analysis of time series data.

Android Application for Epicentre Instance (Contributions Encouraged!)

Demo project showing how to connect mabl test results to a Google Cloud Monitoring (erstwhile Stackdriver) monitoring metric

EC2 Inspector is a tool that will allow you to view, collect and export data from all EC2 instances in an account. With a panel where you can create users and assign them permissions, you will inspect and monitor your EC2 instances

This repository focuses on cloud computing and demonstrates how to set up virtual machines, S3, and other services using LocalStack. It provides a comprehensive guide to simulating AWS services locally for development and testing purposes.

ML-powered cloud monitoring platform that detects infrastructure anomalies, analyzes system health metrics, and generates intelligent alerts for proactive incident response.

Bayesian evidence fusion framework implementing probabilistic modeling, uncertainty-aware inference, recursive state estimation, and domain adaptation applications for anomaly detection, sensor fusion, predictive maintenance, and cloud service health monitoring.

A real-time cloud monitoring and auto-healing system built with Python, Flask, Docker, MySQL, and AWS EC2 for monitoring server health and automating service recovery.

JavaScript IoT cloud monitoring dashboard for device telemetry, alerting, operational visibility, and lightweight infrastructure status tracking.

10 hands-on Google Professional Machine Learning Engineer labs covering Vertex AI, BigQuery, Cloud Storage, Workbench, AutoML, custom training, feature engineering, pipelines, model registry, endpoints, monitoring, responsible AI, security, MLOps, and exam review.