Deploying PHP applications to production can be streamlined using tools like Capistrano, Deployer, and GitHub Actions. Each of these tools offers unique advantages for managing deployments, automating tasks, and ensuring smooth rollouts.
Capistrano is an automated deployment tool primarily used for Ruby applications but can also be adapted for PHP projects. It allows you to define a structured deployment process, ensuring consistency across different environments.
# config/deploy.rb
set :application, "my_php_app"
set :repo_url, "git@github.com:username/my_php_app.git"
# Deploy to this server
server "your.server.com", user: "deploy", roles: %w{app web db}
namespace :deploy do
after :finishing, 'deploy:cleanup'
end
Deployer is a PHP deployment tool designed specifically for PHP applications. It provides built-in tasks for common deployment scenarios, making it easy to get started.
// deploy.php
namespace Deployer;
require 'recipe/common.php';
// Project name
set('app_name', 'my_php_app');
// Project repository
set('repository', 'git@github.com:username/my_php_app.git');
// Shared files/dirs between deploys
add('shared_dirs', ['storage']);
add('shared_files', ['.env']);
// Hosts
host('your.server.com')
->user('deploy')
->set('deploy_path', '/var/www/my_php_app');
// Deploy task
desc('Deploy your project');
task('deploy', [
'deploy:prepare',
'deploy:release',
'deploy:update_code',
'deploy:symlink',
'deploy:unlock',
]);
GitHub Actions provides a seamless way to automate the deployment of your PHP applications. You can define workflows that trigger on events in your repository, such as push or pull request events.
# .github/workflows/deploy.yml
name: Deploy PHP App
on:
push:
branches:
- main
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Deploy to Server
run: ssh user@your.server.com 'cd /path/to/app && git pull origin main'
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?