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Deployment Overview

This section covers deployment strategies, infrastructure setup, and operational best practices for Solverhood applications.

Deployment Options​

Solverhood supports multiple deployment strategies to meet different requirements:

Cloud Platforms​

  • AWS - Full AWS integration with CloudFormation templates
  • Google Cloud Platform - Native GCP deployment with Terraform
  • Azure - Microsoft Azure deployment with ARM templates
  • DigitalOcean - Simple deployment with App Platform

Container Orchestration​

  • Kubernetes - Production-grade container orchestration
  • Docker Swarm - Simple container orchestration
  • ECS/Fargate - AWS container services

Serverless​

  • AWS Lambda - Event-driven serverless functions
  • Vercel - Frontend deployment and serverless functions
  • Netlify - Static site hosting with serverless functions

Quick Start​

Prerequisites​

Before deploying, ensure you have:

  1. Environment Configuration

    • Database credentials
    • API keys and secrets
    • Domain configuration
    • SSL certificates

  2. Infrastructure Requirements

    • Minimum 2GB RAM
    • 20GB storage
    • Public IP address
    • Load balancer (for production)

Basic Deployment​

# Clone the repository
git clone https://github.com/solverhood/app.git
cd app

# Install dependencies
npm install

# Set environment variables
cp .env.example .env
# Edit .env with your configuration

# Build the application
npm run build

# Start the application
npm start

Production Deployment​

Environment Variables​

Create a .env.production file with the following variables:

# Database
DATABASE_URL=postgresql://user:password@host:port/database
REDIS_URL=redis://host:port

# Authentication
JWT_SECRET=your-super-secret-jwt-key
API_KEY=your-api-key

# External Services
STRIPE_SECRET_KEY=sk_test_...
SENDGRID_API_KEY=SG...

# Application
NODE_ENV=production
PORT=3000
BASE_URL=https://your-domain.com

Docker Deployment​

FROM node:18-alpine

WORKDIR /app

COPY package*.json ./
RUN npm ci --only=production

COPY . .
RUN npm run build

EXPOSE 3000

CMD ["npm", "start"]

Kubernetes Deployment​

apiVersion: apps/v1
kind: Deployment
metadata:
  name: solverhood-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: solverhood
  template:
    metadata:
      labels:
        app: solverhood
    spec:
      containers:
        - name: app
          image: solverhood/app:latest
          ports:
            - containerPort: 3000
          env:
            - name: DATABASE_URL
              valueFrom:
                secretKeyRef:
                  name: app-secrets
                  key: database-url

Monitoring and Logging​

Health Checks​

Implement health check endpoints:

app.get('/health', (req, res) => {
  res.json({
    status: 'healthy',
    timestamp: new Date().toISOString(),
    version: process.env.APP_VERSION,
  });
});

Logging​

Configure structured logging:

const winston = require('winston');

const logger = winston.createLogger({
  level: 'info',
  format: winston.format.json(),
  transports: [
    new winston.transports.File({ filename: 'error.log', level: 'error' }),
    new winston.transports.File({ filename: 'combined.log' }),
  ],
});

Security Considerations​

SSL/TLS​

Always use HTTPS in production:

const https = require('https');
const fs = require('fs');

const options = {
  key: fs.readFileSync('path/to/key.pem'),
  cert: fs.readFileSync('path/to/cert.pem'),
};

https.createServer(options, app).listen(443);

Environment Security​

  • Never commit secrets to version control
  • Use environment-specific configuration files
  • Implement proper access controls
  • Regular security updates

Performance Optimization​

Caching​

Implement Redis caching:

const redis = require('redis');
const client = redis.createClient(process.env.REDIS_URL);

async function getCachedData(key) {
  const cached = await client.get(key);
  if (cached) {
    return JSON.parse(cached);
  }
  return null;
}

Database Optimization​

  • Use connection pooling
  • Implement query optimization
  • Set up read replicas for scaling
  • Regular database maintenance

Backup and Recovery​

Database Backups​

# PostgreSQL backup
pg_dump $DATABASE_URL > backup.sql

# Automated backup script
#!/bin/bash
DATE=$(date +%Y%m%d_%H%M%S)
pg_dump $DATABASE_URL > backup_$DATE.sql
gzip backup_$DATE.sql
aws s3 cp backup_$DATE.sql.gz s3://backups/

Disaster Recovery​

  • Regular automated backups
  • Cross-region replication
  • Recovery time objectives (RTO)
  • Recovery point objectives (RPO)

Next Steps​

  • AWS Deployment Guide - Coming soon
  • Kubernetes Setup - Coming soon
  • Monitoring Setup - Coming soon
  • Security Hardening - Coming soon