Edge Deployment

Learn how to deploy Query-2jz to edge functions for global performance and minimal latency.

What is Edge Deployment?

Edge deployment runs your Query-2jz API closer to your users, reducing latency and improving performance. Query-2jz is optimized for edge functions with minimal cold starts and efficient resource usage.

Edge Benefits

Reduced latency

Global distribution

Minimal cold starts

Auto-scaling

High availability

Cost effective

Supported Platforms

Query-2jz supports deployment to all major edge function platforms.

Vercel

Deploy to Vercel Edge Functions

• Edge Runtime support
• Global edge network
• Automatic scaling
• Zero configuration
• Built-in analytics

Cloudflare Workers

Deploy to Cloudflare's edge

• V8 isolates
• 200+ locations
• Durable Objects
• KV storage
• R2 object storage

AWS Lambda@Edge

Deploy to AWS edge locations

• CloudFront integration
• Global edge locations
• Pay per request
• AWS ecosystem
• Enterprise features

Vercel Deployment

Deploy Query-2jz to Vercel Edge Functions for optimal performance.

Vercel Configuration

Configure Query-2jz for Vercel deployment

vercel.json

{
  "functions": {
    "app/api/query-2jz/[...path].ts": {
      "runtime": "edge"
    }
  },
  "regions": ["iad1", "sfo1", "lhr1"],
  "env": {
    "DATABASE_URL": "@database-url",
    "REDIS_URL": "@redis-url"
  }
}

Edge Function

// app/api/query-2jz/[...path].ts
import { Query-2jz } from 'query-2jz';

const query-2jz = new Query-2jz({
  database: {
    type: 'postgresql',
    connection: process.env.DATABASE_URL
  },
  edge: {
    enabled: true,
    platform: 'vercel',
    regions: ['iad1', 'sfo1', 'lhr1']
  }
});

export default async function handler(req: Request) {
  return query-2jz.handleRequest(req);
}

export const config = {
  runtime: 'edge'
};

Deployment Commands

# Install Vercel CLI
npm install -g vercel

# Deploy to Vercel
vercel

# Deploy to production
vercel --prod

# Set environment variables
vercel env add DATABASE_URL
vercel env add REDIS_URL

Cloudflare Workers

Deploy Query-2jz to Cloudflare Workers for global edge deployment.

Cloudflare Configuration

Configure Query-2jz for Cloudflare Workers

wrangler.toml

name = "query-2jz-api"
main = "src/index.ts"
compatibility_date = "2024-01-01"

[env.production]
vars = { ENVIRONMENT = "production" }

[[env.production.kv_namespaces]]
binding = "CACHE"
id = "your-kv-namespace-id"

[[env.production.d1_databases]]
binding = "DB"
database_name = "query-2jz-db"
database_id = "your-d1-database-id"

Worker Code

// src/index.ts
import { Query-2jz } from 'query-2jz';

const query-2jz = new Query-2jz({
  database: {
    type: 'd1',
    connection: env.DB
  },
  cache: {
    type: 'kv',
    connection: env.CACHE
  },
  edge: {
    enabled: true,
    platform: 'cloudflare'
  }
});

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    return query-2jz.handleRequest(request);
  }
};

interface Env {
  DB: D1Database;
  CACHE: KVNamespace;
}

Deployment Commands

# Install Wrangler CLI
npm install -g wrangler

# Login to Cloudflare
wrangler login

# Deploy to Cloudflare Workers
wrangler deploy

# Deploy to specific environment
wrangler deploy --env production

Edge Optimization

Optimize your Query-2jz deployment for edge functions.

Optimization Strategies

Best practices for edge deployment

Cold Start Optimization

• Preload essential modules
• Use connection pooling
• Cache frequently accessed data
• Minimize bundle size
• Use edge-optimized libraries

Configuration

{
  "edge": {
    "enabled": true,
    "platform": "vercel",
    "optimization": {
      "preload": ["models", "cache"],
      "bundleSize": "minimal",
      "connectionPooling": true,
      "coldStartTimeout": 5000
    }
  }
}

Performance Monitoring

// Monitor edge performance
const query-2jz = new Query-2jz({
  edge: {
    enabled: true,
    monitoring: {
      enabled: true,
      metrics: ['coldStart', 'responseTime', 'memoryUsage'],
      alerting: {
        coldStartThreshold: 1000,
        responseTimeThreshold: 500
      }
    }
  }
});

Database Considerations

Choose the right database for edge deployment.

Edge-Compatible Databases

• D1 (Cloudflare) - SQLite-compatible
• PlanetScale - MySQL with edge support
• Neon - PostgreSQL with edge support
• Upstash Redis - Redis with edge support
• FaunaDB - Document database
• Supabase - PostgreSQL with edge support

Edge Database Features

• Global distribution
• Low latency connections
• Connection pooling
• Automatic scaling
• Edge-optimized protocols
• Built-in caching

Deployment Checklist

Ensure your edge deployment is production-ready.

Pre-deployment

Configure edge settings
Set up edge-compatible database
Configure environment variables
Test edge function locally
Optimize bundle size

Post-deployment

Monitor cold start times
Check response times
Verify global distribution
Test error handling
Set up monitoring

Best Practices

Do

• Use edge-compatible databases
• Optimize for cold starts
• Implement proper error handling
• Use connection pooling
• Monitor performance metrics
• Test across different regions
• Use edge-optimized libraries

Don't

• Use traditional databases
• Ignore cold start optimization
• Skip error handling
• Use heavy libraries
• Forget to monitor performance
• Deploy without testing
• Ignore regional differences