🚀 Deployment Overview
FreeSCIM can be deployed in various configurations depending on your requirements, scaling from simple proofs-of-concept to massive High Availability clusters.
Single Server Deployment
Ideal for staging or small environments.
┌─────────────────────────────────────┐
│ FreeSCIM Server │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ Web App │ │ Database │ │
│ │ (Flask) │ │ (SQLite) │ │
│ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────┘High Availability / Cloud Native Architecture
Built for resilience and scale across Kubernetes or multi-VM environments.
┌─────────────────────────────────────────────────────────────┐
│ Load Balancer │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Server 1 │ │ Server 2 │ │ Server 3 │ │
└─────────────────────────────────────────────────────────────┘🛠️ Deployment Methods
Direct Installation (Linux)
For bare-metal or traditional VM deployment.
sudo apt update && sudo apt upgrade -y
sudo apt install python3 python3-pip python3-venv git -y
sudo useradd -m -s /bin/bash freescim
# Full systemd configuration provided to enterprise partners...Docker Deployment
Easily spin up the application using our predefined Docker Compose file.
version: '3.8'
services:
freescim:
build: .
ports:
- "5000:5000"
environment:
- FLASK_ENV=production
- DATABASE_URL=postgresql://freescim:password@db:5432/freescim
depends_on:
- dbapiVersion: apps/v1
kind: Deployment
metadata:
name: freescim
namespace: freescim
spec:
replicas: 3...📊 Monitoring and Logging
Monitor your integrations closely to ensure sync stability.
# monitoring.py
import psutil
from flask import Flask, jsonify
@app.route('/metrics')
def metrics():
return jsonify({
'cpu_percent': psutil.cpu_percent(interval=1),
'uptime': time.time() - psutil.boot_time()
})