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boxship

v1.7.0

Published

Deployment scripts

Readme

Boxship

Boxship is a flexible deployment tool for Node.js and static web applications. It provides a simple CLI for automating deployments to various hosting environments, including static file servers and MyDevilNet hosting.

Features

  • Easy deployment via CLI
  • Supports multiple deployment strategies
  • Automates file copying, cleanup, and server restarts
  • Integrates with npm scripts
  • Verbose logging for troubleshooting

Quick Start

Install Boxship as a development dependency:

npm install boxship --save-dev

Add a deploy script to your package.json:

"scripts": {
    "predeploy": "npm run build:production",
	"deploy": "boxship --username=someuser --host=s1.mydevil.net --domain=example.com --location=~/domains/example.com/public_nodejs --strategy=MyDevilNet --verbose"
}

Run the deployment:

npm run deploy

Usage

Boxship is used via the command line. The most common options are:

boxship --username=<user> --host=<host> --domain=<domain> --location=<path> --strategy=<strategy> [options]

CLI Options

  • --username – SSH username for the remote server
  • --host – Hostname or IP address of the server
  • --domain – Domain name for deployment
  • --location – Target directory on the server
  • --strategy – Deployment strategy (Static or MyDevilNet)
  • --verbose – Enable verbose logging
  • --help – Show help message

Deployment Strategies

Static

For static hosting environments that serve files from a public directory. This strategy copies your build output to the specified folder.

MyDevilNet

For MyDevilNet hosting, this strategy removes old files, uploads new ones, and restarts the server using the provider's built-in commands. Node.js hosting is managed via Passenger and relies on file naming/location conventions.

To log in to the server manually:

ssh -l <user> <server_number>.mydevil.net

Contributing

Contributions are welcome! Please open issues or submit pull requests for new features, bug fixes, or documentation improvements.

License

MIT