CloudPulse – API Health & Uptime Monitoring (Full Stack DevOps)

A full-stack, cloud-native monitoring system that tracks the health and performance of public APIs in real time. The current version features a live dashboard powered by Supabase (PostgreSQL), a Node.js backend, and a Svelte + Plotly.js frontend. Additional infrastructure features (Python-based monitoring agent, CI/CD pipeline, Docker/Ansible provisioning) are under active development.

Key Features (Planned)

• Monitors 3–5 public APIs every 60 seconds (e.g., OpenWeather, IPinfo)
• Captures:
  • Status codes
  • Latency (ms)
  • API availability (uptime %)
• Logs structured metrics to Supabase (PostgreSQL)
• REST API backend (Node.js) exposes data for frontend
• Frontend dashboard (Svelte + Plotly.js) shows live charts
• Docker-based deployment (in progress)
• GitHub Actions CI/CD (in progress)
• Ansible provisioning (in progress)

What’s Working So Far

• Live dashboard UI (Svelte + Plotly.js)
• Node.js backend API server
• Realtime metrics from Supabase (PostgreSQL)
• Frontend displays latency and uptime charts

Work in Progress

The following features are actively being built or integrated:

• Python-based agent that pings APIs and logs data to Supabase
• Docker containerization for backend/frontend/agent
• GitHub Actions CI/CD pipeline
• Ansible playbooks for provisioning infrastructure

These are listed on my resume and being implemented sequentially. This repository will be updated regularly.

Getting Started

Requirements

• Python 3.8+ (for monitoring agent)
• Node.js 18+
• Docker + Docker Compose
• Supabase account (PostgreSQL backend)
• (Optional) Fly.io or Render for cloud deployment

Tech Stack