Deployment Overview

Bunty applications are highly flexible and can be deployed in numerous ways, from simple single-server setups to complex Kubernetes clusters. This guide will help you choose the right deployment strategy for your needs.

Deployment Options

Process Managers

• Bun Run - Simple direct execution with Bun
• PM2 - Production process manager with clustering
• Systemd - Native Linux service management

Container Orchestration

• Docker - Containerize your Bunty application
• Kubernetes - Deploy to Kubernetes clusters
• Docker Compose - Multi-container local deployments

Cloud Platforms

• Cloudflare Workers - Deploy to the edge
• Render - Simple cloud deployment
• AWS - Amazon Web Services deployment
• Google Cloud - Google Cloud Platform deployment
• Azure - Microsoft Azure deployment
• DigitalOcean - Simple cloud VPS deployment
• Fly.io - Deploy close to your users

Serverless

• AWS Lambda - Serverless deployment on AWS
• Google Cloud Functions - Serverless on GCP
• Azure Functions - Serverless on Azure

Production Checklist

Before deploying to production, ensure you have:

• Set NODE_ENV=production or BUN_ENV=production
• Configured proper logging levels
• Set up health checks and monitoring
• Configured database connection pooling
• Enabled CORS and security headers
• Set up error tracking (Sentry, etc.)
• Configured SSL/TLS certificates
• Set up automatic backups
• Implemented rate limiting
• Configured proper environment variables

Performance Considerations

Clustering

Bunty supports clustering to utilize multiple CPU cores:

import { BuntyApplication } from '@bunty/common';

const app = await BuntyApplication.create({
  workers: 'auto', // or specify a number
});

Memory Management

Monitor and configure memory limits based on your deployment environment:

// Configure memory limits in your app
const app = await BuntyApplication.create({
  memoryLimit: '512M',
});

Connection Pooling

Optimize database connections for production:

import { DatabaseModule } from '@bunty/orm';

@Module({
  imports: [
    DatabaseModule.forRoot({
      pool: {
        min: 2,
        max: 10,
      },
    }),
  ],
})
export class AppModule {}

Next Steps

Choose your deployment method from the options above and follow the detailed guide for your platform.