Deployment Guide
Method 1: Deploying on a VPS (DigitalOcean, AWS EC2, etc.)
1. Set Up the Server
sudo apt update && sudo apt upgrade -y
sudo apt install python3-pip python3-venv nginx git
2. Clone the Project & Set Up Virtual Environment
git clone https://github.com/your-repository/doctor-channeling-system.git
cd doctor-channeling-system
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
pip install gunicorn
Create a Supervisor config:
sudo nano /etc/supervisor/conf.d/hms_prj.conf
Add:
[program:hms_prj]
command=/path/to/venv/bin/gunicorn --workers 3 --bind 0.0.0.0:8000 hms_prj.wsgi:application
directory=/path/to/project
user=youruser
autostart=true
autorestart=true
stderr_logfile=/var/log/hms_prj.err.log
stdout_logfile=/var/log/hms_prj.out.log
Restart Supervisor:
sudo supervisorctl reread
sudo supervisorctl update
sudo supervisorctl start hms_prj
sudo nano /etc/nginx/sites-available/hms_prj
Add:
server {
listen 80;
server_name yourdomain.com www.yourdomain.com;
location / {
proxy_pass http://127.0.0.1:8000;
}
}
Activate & Restart:
sudo ln -s /etc/nginx/sites-available/hms_prj /etc/nginx/sites-enabled
sudo nginx -t
sudo systemctl restart nginx
5. Secure the Server with SSL (Let's Encrypt)
sudo apt install certbot python3-certbot-nginx
sudo certbot --nginx -d yourdomain.com -d www.yourdomain.com
Method 2: Deploying to AWS (Elastic Beanstalk, RDS, and S3)
1. Install AWS CLI and Elastic Beanstalk CLI
pip install awsebcli --upgrade --user
aws configure
Enter your AWS Access Key, Secret Key, Region, and Output Format.
3. Set Up AWS Resources
Create an RDS PostgreSQL Database
Go to the AWS RDS Console.
Create a new PostgreSQL database.
Configure security groups to allow access from your EC2 instance.
Copy the database endpoint for later use.
Go to the AWS S3 Console.
Create a new bucket (e.g., my-hms-media).
Enable public access if required.
Copy the bucket name for later use.
4. Update .env for Production
SECRET_KEY=your_production_secret_key
DEBUG=False
ALLOWED_HOSTS=.elasticbeanstalk.com,yourdomain.com
DATABASE_URL=postgres://username:password@your-rds-endpoint:5432/dbname
AWS_ACCESS_KEY_ID=your_aws_access_key
AWS_SECRET_ACCESS_KEY=your_aws_secret_key
AWS_STORAGE_BUCKET_NAME=my-hms-media
EMAIL_BACKEND=anymail.backends.resend.EmailBackend
RESEND_API_KEY=your_resend_api_key
RESEND_SENDER_DOMAIN=your_resend_sender_domain
DEFAULT_FROM_EMAIL=your_default_email@example.com
you have to customize default setting in setting.py file accordingly for the postgres database as default is using sqlite db
Install required packages:
pip install boto3 django-storages
Update settings.py:
INSTALLED_APPS += ['storages']
DEFAULT_FILE_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage'
AWS_STORAGE_BUCKET_NAME = os.getenv('AWS_STORAGE_BUCKET_NAME')
AWS_ACCESS_KEY_ID = os.getenv('AWS_ACCESS_KEY_ID')
AWS_SECRET_ACCESS_KEY = os.getenv('AWS_SECRET_ACCESS_KEY')
6. Initialize Elastic Beanstalk
eb init -p python-3.8 my-hms-app --region your-region
7. Deploy to Elastic Beanstalk
eb create my-hms-env
Wait for deployment to complete.
8. Apply Migrations and Collect Static Files
eb ssh my-hms-env
source venv/bin/activate
python manage.py migrate
python manage.py collectstatic --noinput
9. Set Environment Variables on Beanstalk
eb setenv SECRET_KEY=your_secret_key DATABASE_URL=your_database_url \
AWS_ACCESS_KEY_ID=your_aws_access_key AWS_SECRET_ACCESS_KEY=your_aws_secret_key \
AWS_STORAGE_BUCKET_NAME=my-hms-media STRIPE_SECRET_KEY=your_stripe_key STRIPE_PUBLIC_KEY=your_stripe_public_key
10. Update Elastic Beanstalk with New Code
eb deploy
11. Monitor Logs and Restart If Needed
eb logs
eb restart
12. Secure the Application with HTTPS
Your application is now deployed on AWS using Elastic Beanstalk, RDS, and S3 🚀
This documentation provides a detailed breakdown of the system components, local setup, and AWS deployment process. Let me know if you need further refinements! 🚀
Last modified: 15 March 2025