How to Deploy a Flask App in 2025: The Complete Guide

Deploying a Flask application shouldn't feel like rocket science. Yet many developers spend hours wrestling with server configurations, environment variables, and deployment scripts when they should be building features.
This guide walks you through everything you need to know about deploying Flask apps in 2025—from choosing the right platform to going live in minutes.
Why Flask Deployment Has Changed
Flask's simplicity made it the go-to framework for Python web development. But deployment? That's where things got complicated.
Traditional options forced developers to choose between:
- Complex cloud providers (AWS, GCP) with steep learning curves
- Expensive managed platforms that charge premium prices for basic features
- DIY server setups requiring DevOps expertise
The good news: modern deployment platforms have eliminated these trade-offs. You can now deploy Flask apps with Git push simplicity at startup-friendly prices.
Prerequisites for Flask Deployment
Before deploying, make sure your Flask app is production-ready:
1. Structure Your Project Properly
my-flask-app/
├── app/
│ ├── __init__.py
│ ├── routes.py
│ ├── models.py
│ └── templates/
├── requirements.txt
├── Procfile
├── runtime.txt
└── wsgi.py
2. Create a Production WSGI Entry Point
# wsgi.py
from app import create_app
app = create_app()
if __name__ == "__main__":
app.run()
3. Set Up Your Requirements File
Flask==3.0.0
gunicorn==21.2.0
python-dotenv==1.0.0
4. Configure Environment Variables
Never hardcode secrets. Use environment variables for:
SECRET_KEY- Flask's session encryption keyDATABASE_URL- Database connection stringFLASK_ENV- Set toproductionfor deployments
Best Platforms to Deploy Flask Apps
Here's how the top platforms compare for Flask deployment in 2025:
| Platform | Free Tier | Starting Price | Deploy Time | Best For | |----------|-----------|----------------|-------------|----------| | Deployra | 512MB RAM | $10/mo | ~2 min | Cost-conscious teams | | Heroku | Limited | $7/mo | ~5 min | Quick prototypes | | Railway | 500 hours | $5/mo | ~3 min | Hobby projects | | Render | Static only | $7/mo | ~5 min | Static + API combo | | AWS (ECS) | 12 months | ~$15/mo | ~30 min | Enterprise scale |
Deploy Flask to Deployra (Recommended)
Deployra offers the fastest path from code to production for Flask apps. Here's how:
Step 1: Connect Your Repository
- Sign up at deployra.com
- Click New Project → Import from GitHub
- Select your Flask repository
Step 2: Configure Build Settings
Deployra auto-detects Flask apps. Verify these settings:
- Build Command:
pip install -r requirements.txt - Start Command:
gunicorn wsgi:app - Python Version: 3.11 (or your preferred version)
Step 3: Add Environment Variables
In your project dashboard, add:
SECRET_KEY=your-secure-random-key
FLASK_ENV=production
DATABASE_URL=your-database-connection-string
Step 4: Deploy
Click Deploy and watch your app go live. Deployra handles:
- SSL certificate provisioning
- Zero-downtime deployments
- Auto-scaling based on traffic
- Database connections (if using managed PostgreSQL)
Your Flask app will be live at your-app.deployra.app within minutes.
Deploy Flask with Docker
For teams needing more control, Docker provides consistent deployments across any platform.
Create a Dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 5000
CMD ["gunicorn", "--bind", "0.0.0.0:5000", "wsgi:app"]
Build and Test Locally
docker build -t my-flask-app .
docker run -p 5000:5000 my-flask-app
Deploy to Deployra with Docker
Deployra supports Docker deployments natively:
- Push your Dockerfile to your repository
- Deployra detects and builds the container automatically
- No additional configuration needed
Setting Up a Production Database
Most Flask apps need a database. Here are your options:
PostgreSQL (Recommended)
PostgreSQL handles everything from small apps to enterprise workloads.
On Deployra:
- Go to Add-ons → Databases
- Click Create PostgreSQL Database
- Copy the
DATABASE_URLto your environment variables
In Your Flask App:
from flask_sqlalchemy import SQLAlchemy
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ.get('DATABASE_URL')
db = SQLAlchemy(app)
SQLite (Development Only)
SQLite works for local development but doesn't persist across deployments on most platforms. Always use PostgreSQL or MySQL for production.
Configuring Gunicorn for Production
Gunicorn is the standard WSGI server for Flask in production. Optimize it with these settings:
Create a Gunicorn Config
# gunicorn.conf.py
import multiprocessing
workers = multiprocessing.cpu_count() * 2 + 1
bind = "0.0.0.0:5000"
timeout = 120
keepalive = 5
errorlog = "-"
accesslog = "-"
loglevel = "info"
Update Your Start Command
gunicorn --config gunicorn.conf.py wsgi:app
Adding SSL and Custom Domains
Free SSL on Deployra
Deployra provisions SSL certificates automatically for all deployments. No configuration required.
Custom Domain Setup
- Go to Settings → Domains
- Add your domain (e.g.,
api.yourcompany.com) - Update your DNS with the provided CNAME record
- SSL activates automatically within minutes
Monitoring Your Flask App
Once deployed, you need visibility into your app's health.
Built-in Monitoring
Deployra provides:
- Real-time request metrics
- Error tracking and alerts
- Resource usage graphs
- Deployment history
Adding Application Logging
import logging
from flask import Flask
app = Flask(__name__)
# Configure logging for production
if app.config['ENV'] == 'production':
gunicorn_logger = logging.getLogger('gunicorn.error')
app.logger.handlers = gunicorn_logger.handlers
app.logger.setLevel(gunicorn_logger.level)
@app.route('/')
def index():
app.logger.info('Index page accessed')
return 'Hello, World!'
Common Flask Deployment Issues (And Fixes)
"Application Failed to Start"
Cause: Missing dependencies or incorrect start command.
Fix: Ensure requirements.txt includes all dependencies and your start command matches your WSGI entry point.
"502 Bad Gateway"
Cause: App crashed or timeout exceeded.
Fix: Check logs for errors. Increase Gunicorn timeout for slow operations.
"Database Connection Refused"
Cause: Incorrect DATABASE_URL or network restrictions.
Fix: Verify the connection string and ensure your database allows connections from your deployment platform.
"Static Files Not Loading"
Cause: Flask's development server handles static files, but Gunicorn doesn't.
Fix: Use WhiteNoise for serving static files:
from whitenoise import WhiteNoise
app.wsgi_app = WhiteNoise(app.wsgi_app, root='static/')
Scaling Your Flask App
As traffic grows, you'll need to scale. Here's how:
Horizontal Scaling
Add more instances to handle increased load:
- On Deployra: Adjust the Instances slider in project settings
- Traffic automatically load-balances across instances
Vertical Scaling
Increase resources per instance:
- Upgrade to higher memory/CPU tiers
- Useful for memory-intensive operations
Database Scaling
- Enable connection pooling with
pgbouncer - Add read replicas for heavy read workloads
- Consider managed database upgrades
Flask Deployment Checklist
Before going live, verify:
- [ ]
DEBUG = Falsein production - [ ]
SECRET_KEYis set via environment variable - [ ] Database uses connection pooling
- [ ] Static files served efficiently (WhiteNoise or CDN)
- [ ] SSL enabled (automatic on Deployra)
- [ ] Error monitoring configured
- [ ] Backups enabled for database
- [ ] Health check endpoint exists (
/health)
Conclusion
Deploying Flask apps in 2025 is simpler than ever. With platforms like Deployra, you can go from code to production in minutes—without sacrificing control or breaking the bank.
The key is choosing a platform that matches your needs:
- Starting out? Use Deployra's free tier to validate your idea
- Scaling up? Upgrade to paid plans with predictable pricing
- Enterprise needs? Docker deployments give you full control
Ready to deploy your Flask app? Get started with Deployra and ship your first deployment in under 5 minutes.