Configuring Digital Ocean droplets with cloud-init
Introduction
Oftentimes there will be cases where you will want to automate the provisioning and configuration of your Digital Ocean droplets. There are a plethora of tools out there, however, cloud-init
is an industry-standard that is used to initialize and configure instances with user-data
.
What is Terraform?
Terraform is an Infrastructure-as-code tool that allows users to build, change, and version your infrastructure safely and efficiently. It uses a high-level syntax to declaratively provision and manage infrastructure, allowing the ability to break down the configuration into smaller chunks for better organization, re-use, and maintainability. Information on installing and running Terraform can be found here. By passing the user_data
parameter into a Terraform.yaml file, you can use automation to configure your Digital Ocean droplet at boot time. More on that below.
Using Terraform to configure Digital Ocean droplets with cloud-init
If Terraform is your preferred infrastructure provisioning method then you can find the Digital Ocean Terraform Provider at the Github Repo here.
For any infrastructure provider, when using Terraform as a provisioning tool you will always need to specify the provider
block as seen here:
provider "digitalocean" {
token = var.do_token
}
Here’s an example module that utilizes user-data
to configure a droplet at boot time:
# Create a server
resource "digitalocean_droplet" "my-dream-server-1" {
image = "ubuntu-18-04-x64"
name = "web-1"
region = "nyc2"
size = "s-1vcpu-1gb"
user_data = "I2Nsb3VkLWNvbmZpZwpwYWNrYWdlczoKICAtIGlmdG9wCiAgLSBubW9uCg=="
}
With this module, you have a resource
that is designating digitalocean_droplet
as the type of resource you want to provision, and using variables such as project_id
and user_data
to handle the provisioning. When you provide the string for user_data
, you are designating a startup script that the bare-metal server will run on boot-up.
Using cloud-init to configure Digital Ocean droplets
You can provision new servers via the API to fetch user data for your Packet device via the cloud-init
service. This allows you to automate various server configuration tasks by fetching user data directives upon server deployment. Your provided tasks will be executed when your server boots for the first time. There are two ways of doing this - shell scripts or cloud-init directives. We're going to talk about cloud-init directives.
Cloud-Init directives are executed when your server boots for the first time, but the syntax is slightly different. Your scenario must start with #cloud-config
line, otherwise user data directives will be rejected. For further reference, I recommend checking the cloud-init official documentation: https://cloudinit.readthedocs.io/en/latest/index.html
A simple example of a cloud-init
script that would be passed is:
#cloud-config
packages:
- httpd
- mariadb-server
runcmd:
- systemctl start httpd
- sudo systemctl enable httpd
- [ sh, -c, "chmod 755 /var/tmp" ]
In order to pass this data scenario to the Digital Ocean API, it must first be converted into base64 format. On a Linux system you would do the following for your test.yaml
file:
:# base64 test.yaml
I2Nsb3VkLWNvbmZpZwpwYWNrYWdlczogCiAtIGh0dHBkIAogLSBtYXJpYWRiLXNlcnZlcgpydW5j
bWQ6CiAtIHN5c3RlbWN0bCBzdGFydCBodHRwZAogLSBzdWRvIHN5c3RlbWN0bCBlbmFibGUgaHR0
cGQKIC0gWyBzaCwgLWMsICJjaG1vZCA3NTUgL3Zhci90bXAiIF0K
This output text then has to be fetched via Digital Ocean API user_data
parameter when ordering a new server.
Putting it all together
To see this in action, specify the resources provider
so that you can designate Digital Ocean as the platform you're provisioning to. Your final script should look like this:
# Set provider
provider "digitlocean" {
token = var.do_token
}
# Create a server
resource "digitalocean_droplet" "my-dream-server-1" {
image = "ubuntu-18-04-x64"
name = "web-1"
region = "nyc2"
size = "s-1vcpu-1gb"
user_data = "I2Nsb3VkLWNvbmZpZwpwYWNrYWdlczoKICAtIGlmdG9wCiAgLSBubW9uCg=="
}
Finishing up
That’s all there is to it! Terraform is a really great tool for automating infrastructure once you understand the syntax and how it works. I hope you liked this article!