Does Flask Work With DigitalOcean?

Fully CompatibleLast verified: 2026-02-20

Flask runs excellently on DigitalOcean through App Platform, Droplets, or Kubernetes, with multiple deployment paths suited to different scale requirements.

Quick Facts

Compatibility
full
Setup Difficulty
Easy
Official Integration
No — community maintained
Confidence
high
Minimum Versions
Flask: 1.0.0

How Flask Works With DigitalOcean

Flask is a perfect fit for DigitalOcean's infrastructure because it's lightweight and runs on standard Linux environments. You have three main deployment strategies: DigitalOcean App Platform (fully managed, best for quick deploys), Droplets with Gunicorn/Nginx (maximum control, cost-effective at scale), or App Platform Containers (Docker-based, good middle ground). App Platform handles the entire deployment pipeline—you connect your Git repo and it automatically builds and serves your Flask app with zero infrastructure management. For Droplets, you SSH in, install Python/pip, run your Flask app behind Gunicorn as a WSGI server, and configure Nginx as a reverse proxy. Both approaches integrate seamlessly with DigitalOcean's managed databases (PostgreSQL, MySQL), object storage (Spaces), and monitoring tools. The developer experience is smooth: Flask's simplicity pairs well with DigitalOcean's straightforward documentation and intuitive dashboard. You'll want to use environment variables for configuration and handle static files either through Nginx or a CDN.

Best Use Cases

Deploying a REST API backend with Flask that scales from hobby to production traffic
Building a lightweight web application with database connectivity and minimal DevOps overhead
Creating microservices that benefit from Flask's minimal dependencies and fast startup times
Running Flask apps in containers alongside other services using DigitalOcean Kubernetes

Flask App with Gunicorn for DigitalOcean Droplet

bash
pip install flask gunicorn python-dotenv
python
from flask import Flask, jsonify
import os
from dotenv import load_dotenv

load_dotenv()
app = Flask(__name__)

@app.route('/api/health', methods=['GET'])
def health():
    return jsonify({"status": "healthy"}), 200

@app.route('/api/hello/<name>', methods=['GET'])
def hello(name):
    return jsonify({"message": f"Hello, {name}!"}), 200

if __name__ == '__main__':
    port = int(os.getenv('PORT', 8000))
    app.run(host='0.0.0.0', port=port, debug=False)

# Run with: gunicorn --workers 4 --bind 0.0.0.0:8000 app:app

Known Issues & Gotchas

warning

App Platform's free tier has limited execution time; long-running tasks fail

Fix: Use Celery with Redis for background jobs, or migrate to a paid Droplet for sustained workloads

critical

Static files served from Flask in development don't scale; users get 404s in production

Fix: Configure Nginx to serve static files directly or upload assets to DigitalOcean Spaces and use a CDN

warning

Default Droplet firewall blocks incoming connections; app appears offline

Fix: Open ports 80/443 in DigitalOcean's firewall settings and ensure Gunicorn listens on 0.0.0.0

warning

App Platform auto-restart can cause data loss if using local file storage

Fix: Use managed databases or DigitalOcean Spaces for persistent data instead of local filesystem

Alternatives

  • Django + DigitalOcean App Platform (more batteries-included, better for larger projects)
  • FastAPI + DigitalOcean Droplets (modern async Python, faster performance)
  • Node.js Express + DigitalOcean (if you prefer JavaScript, similar lightweight ecosystem)

Resources

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