What is DigitalOcean and how to publish an application on a Droplet
Published on 2026-10-26 by frfrand
DigitalOcean Droplets, SSH, firewall and web deployment for developers
DigitalOcean made creating a Linux machine in the cloud stop seeming like a complicated ceremony. Droplets are quite well known among developers. That doesn't mean setting up a complete API is just a matter of clicking "Create".
A platform is not chosen for its logo or for how easy the first demo looks. It is chosen thinking about what happens when you need to update it, recover data, or deliver the project to a client.
What is DigitalOcean and what is it really for?
A Droplet is a compute instance that you can manage. DigitalOcean also has other services, such as managed databases, storage, and application options; each product has its own responsibilities and costs.
A concrete case, without smoke
A freelancer delivers a Django app with an admin panel and a database. On the first day it works on a Droplet; after a month they want to see logs, schedule backups, and separate access for two clients. That's when operations work starts weighing as much as development work.
How to get started step by step
- Create a Droplet in the appropriate region and associate your SSH key.
- Apply firewall rules and configure users without sharing credentials.
- Install the runtime or Docker your application needs.
- Connect local or managed PostgreSQL and configure backups according to your architecture.
- Publish Nginx with HTTPS and test a real request with persistence.
Test everything with a test user, from an external device. Don't just load the home screen: perform an operation that persists data, restart the process, and query it again. If it depends on emails or webhooks, simulate an external provider failure and check what happens.
The point that usually causes problems
Don't just compare the Droplet quota if you're also going to pay for managed base, storage, and backups. Also, don't publish PostgreSQL to the entire Internet just to make it easier to connect from your laptop.
It's also a good idea to separate quick tasks from background jobs. A reservation API shouldn't block the response because it's generating a PDF or sending an email; a worker can handle those operations with retries and logs.
How would you solve it in ArduMaker?
ArduMaker brings together VPS, Git deployments, databases, domains, and operations tools in a panel. DigitalOcean offers a wider variety of cloud pieces that you can combine. The choice depends on whether you want to build your stack or reduce repetitive configuration.
For example, for a FastAPI + PostgreSQL project, you could set up a VPS in ArduMaker, connect the Git repository, prepare the backend service, configure the database with restricted access, and associate a domain with SSL. If you also use Redis or n8n, you can integrate them into the architecture, always respecting the memory and CPU of the contracted plan.
The comparison that really matters
| Question | DigitalOcean | ArduMaker |
|---|---|---|
| What do you contract? | A Droplet is a compute instance that you can manage | VPS and integrated management tools |
| Who configures the app? | The team, with the product's facilities | The team, with Git deployment and VPS tools |
| Can you use PostgreSQL and workers? | Depending on the product and architecture | Yes, within the environment's resources and services |
| Do you need to review backups and security? | Yes, with different responsibilities | Yes, equally important |
What costs should you take into account?
DigitalOcean is a good entry point to cloud infrastructure components; ArduMaker provides an experience focused on managing the entire project from its panel. To compare fairly, add not only the base price but the functions your application really needs: RAM, disk, persistent storage, backups, transfer, licenses, separate databases, and maintenance hours. Plans and prices change, so you should always review current conditions.
A rule that avoids surprises: if tomorrow you need to move your application, make sure you can export the database, your files, and the domain configuration. Code in Git does not automatically include data.
Mistakes to avoid when starting
- Contracting too many resources blindly. Measure load before scaling.
- Opening the database to the Internet. Use private networks or authenticated tunnels when appropriate.
- Confusing snapshot with validated backup. Restoration is tested, not assumed.
- Publishing without logs or a rollback plan. A green deploy can hide a broken API.
So, what do I stick with?
DigitalOcean is a good entry point to component-based cloud infrastructure; ArduMaker provides an experience focused on managing the entire project from its panel.
Instead of debating brands for days, build the same small application in the chosen environment. If you can publish it, diagnose a failure, and recover it without turning every step into an odyssey, you found a reasonable option.
Sources: DigitalOcean official documentation · Comparison with ArduMaker · What is a VPS.
In one sentence: what matters is how much control you need and who takes care of keeping the application running. The rest are tools to achieve it.