Droplet vs Serverless functions

I have a python flask app what should be a good option for me using droplet or using serverless functions and also what’s the price difference?

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September 22, 2023

Hello @3775ea87345f49089c612a426e0650

The choice between using a DigitalOcean Droplet and Serverless functions for hosting your Python Flask app depends on various factors, including your application’s requirements, complexity, expected traffic, and cost considerations. Here’s a basic comparison to help you decide:

  1. DigitalOcean Droplet:
  • Pros:
  • Full control: You have complete control over the server environment, allowing you to install any software, libraries, or configurations you need.
  • Suitable for complex applications: If your Flask app is part of a larger, complex system or if you require custom configurations, a Droplet provides flexibility.
  • Persistent storage: You can attach additional storage volumes for data persistence.


  • Server management: You are responsible for server maintenance, including security updates, scaling, and backups.
  • Cost: You pay a monthly fee based on the Droplet’s size and features, regardless of traffic.
  1. Serverless Functions:


  • Easy scaling: Serverless platforms automatically handle scaling based on traffic, making it suitable for applications with variable workloads.
  • Reduced management: You don’t need to manage servers; the platform handles infrastructure details.
  • Cost efficiency: You are billed based on actual usage, which can be cost-effective for low to moderate-traffic apps.


  • Limited customization: Serverless environments often have constraints on custom configurations and libraries you can use.

Ultimately, the choice depends on your app’s specific needs and your willingness to manage server infrastructure. You might also consider a hybrid approach, where you use serverless functions for certain components of your app and a Droplet for others, optimizing for cost and performance.

Hope that this helps!

droplet is more cheap and freedom, but you need more setup

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