> ## Documentation Index
> Fetch the complete documentation index at: https://blog.clouddley.com/llms.txt
> Use this file to discover all available pages before exploring further.
# How to Deploy a MongoDB Database on a DigitalOcean Droplet using Clouddley
> Learn how to deploy a MongoDB database on a DigitalOcean Droplet using Clouddley.
export const date_0 = "Updated on July 08, 2025"
[MongoDB's](https://www.mongodb.com/) document-based architecture makes it perfect for applications that handle unstructured data, from content management systems to IoT platforms. When you need to deploy a MongoDB database with zero downtime and minimal setup, [Clouddley](https://clouddley.com) takes care of the heavy lifting for you on DigitalOcean Droplets.
This tutorial walks you through deploying a MongoDB database using Clouddley. You'll have a production-ready MongoDB database running in minutes.
## Prerequisites
To follow this tutorial, you will need:
* A [Clouddley account](https://clouddley.com)
* A [DigitalOcean account](https://www.digitalocean.com)
* [`doctl` (DigitalOcean CLI)](https://docs.digitalocean.com/reference/doctl/how-to/install/) installed and configured
* [DigitalOcean API](https://cloud.digitalocean.com/account/api/tokens) token generated
* Basic knowledge of the command line.
## Create a DigitalOcean droplet
For this tutorial, we will use `doctl`, the official DigitalOcean CLI, to create a Droplet. Make sure you have the DigitalOcean CLI (doctl) installed.
Before you begin, ensure you have your DigitalOcean API token ready.
* Authenticate with your DigitalOcean account by running the following command in your terminal:
```bash theme={null}
doctl auth init
```
* Enter your API token when prompted. This will allow `doctl` to interact with your DigitalOcean account.
* Before creating your Droplet, make sure you have your `vpc_uuid` and `SSH key` added to your DigitalOcean account.
Open your terminal and run the command:
```bash theme={null}
doctl compute vpc list
```
This will display all your VPCs along with their UUIDs. Choose the one you want to use for your Droplet.
Open your terminal and run the command:
```bash theme={null}
doctl compute ssh-key list
```
If you do not have a previously created one, follow the steps below.
Step 1: To generate an SSH key, run the command:
```
ssh-keygen -t rsa -b 4096 -C "your_email@example.com"
```
Press Enter to accept the default file location and choose a passphrase if you want one.
Step 2: To add your SSH key to digitalocean, run:
```
doctl compute ssh-key create "my-key-name" --public-key-file ~/.ssh/id_rsa.pub
```
Replace `my-key-name` with a name you’ll recognize.
* Now, create a new Droplet using the following command:
```bash theme={null}
doctl compute droplet create db-droplet \
--image ubuntu-24-10-x64 \
--size s-1vcpu-1gb \
--ssh-keys your_ssh_key_id \
--region nyc1 \
--vpc-uuid your_vpc_uuid
```
Make sure you replace `your_vpc_uuid` and `your_ssh_key_id` with your actual values. The SSH key added here allows Clouddley to securely connect to your Droplet during deployments.
You will see the output below
You've created a droplet named `db-droplet` with `Ubuntu 24.10 x64` image in the `nyc1` region.
* To confirm your Droplet was created successfully, run the command:
```bash theme={null}
doctl compute droplet list
```
You should see your newly created Droplet in the list.
Make sure to note the IP address of your Droplet, as you will need it later.
## Deploy
Now that you have your Droplet set up, it’s time to deploy a MongoDB database using Clouddley.
Step 1: Access Databases
* Log in to your [Clouddley account](https://app.clouddley.com/auth/signin).
* Navigate to the Databases on the left sidebar.
* Click on Deploy Database Step 2: Configure your virtual machine(VM)
* In the **choose or add server** dropdown, select your VM if it's listed. If not, select **+ Add Virtual Machine** and enter your droplet's IP address as the **VM host**, along with the **VM User** and **SSH port**.
* After adding the details, verify the connection with the **Clouddley CLI (recommended)** or **SSH.**
- Open your local machine’s command line, then connect to the remote VM you want to configure with Clouddley. Use this command to SSH into your DigitalOcean Droplet:
```bash theme={null}
ssh root@
```
* Install Clouddley CLI by running the command:
```bash theme={null}
curl -L https://raw.githubusercontent.com/clouddley/cli/main/install.sh | sh
```
* To add the SSH public key, run the command:
```bash theme={null}
clouddley add key
```
Using the CLI, you can deploy resources, manage configurations, and automate tasks efficiently.
* Click Verify to check the connection.
* Once verified, click on Next.
Step 3: Configure your database name
* Enter a name for your MongoDB database.
* Click on Next to proceed.
Step 4: Select your database type and version
* Choose MongoDB as your database type.
* Select the version of MongoDB you want to deploy.
Ensure you select a version that is compatible with your application requirements.
* Enable delete protection to prevent accidental deletions.
* Click on Deploy DB Step 5: Confirm deployment
* Once your deployment is complete, you will see a confirmation message `Deployed successfully!`
You can now connect your MongoDB database to your application.
## Manage your database
The Database dashboard makes it easy to manage your MongoDB database on DigitalOcean. You can deploy, monitor, and maintain your database.
Here’s what you can do:
* View real-time logs to check performance and troubleshoot fast.
* Reset passwords securely with built-in authentication and encryption.
* Prevent accidental deletions with built-in delete protection.
* Manage the database users and access control.
Everything you need to manage your database is right where you need it.
## Conclusion
You’ve successfully deployed MongoDB on a DigitalOcean Droplet using Clouddley. With a few simple steps, you removed the complexity of manual setup and enabled faster, more reliable provisioning.
Got feedback or ideas to improve the experience? We’d love to [hear from you](https://clouddley.productlane.com/roadmap). We can’t wait to see what you deploy next!
A backend infrastructure for your own compute. Run apps, databases, brokers, and AI workloads on your VMs, bare metal, or VPS.
## Additional Resources
* [Clouddley Documentation](https://docs.clouddley.com/)
* [MongoDB Documentation](https://www.mongodb.com/docs/)
* [DigitalOcean Droplet guides](https://docs.digitalocean.com/products/droplets/)
You've created a droplet named `db-droplet` with `Ubuntu 24.10 x64` image in the `nyc1` region.
* To confirm your Droplet was created successfully, run the command:
```bash theme={null}
doctl compute droplet list
```
You should see your newly created Droplet in the list.
Make sure to note the IP address of your Droplet, as you will need it later.
## Deploy
Now that you have your Droplet set up, it’s time to deploy a MongoDB database using Clouddley.
Step 1: Access Databases
* Log in to your [Clouddley account](https://app.clouddley.com/auth/signin).
* Navigate to the Databases on the left sidebar.
* Click on Deploy Database
You can now connect your MongoDB database to your application.
## Manage your database
The Database dashboard makes it easy to manage your MongoDB database on DigitalOcean. You can deploy, monitor, and maintain your database.
Here’s what you can do:
* View real-time logs to check performance and troubleshoot fast.
* Reset passwords securely with built-in authentication and encryption.
* Prevent accidental deletions with built-in delete protection.
* Manage the database users and access control.
Everything you need to manage your database is right where you need it.
## Conclusion
You’ve successfully deployed MongoDB on a DigitalOcean Droplet using Clouddley. With a few simple steps, you removed the complexity of manual setup and enabled faster, more reliable provisioning.
Got feedback or ideas to improve the experience? We’d love to [hear from you](https://clouddley.productlane.com/roadmap). We can’t wait to see what you deploy next!