Terraform Full VM Deployment
Introduction
This short ThreeFold Guide will teach you how to deploy a Full VM on the TFGrid using Terraform. For this guide, we will be deploying Ubuntu 22.04.
The steps are very simple. You first need to create the Terraform files, the variables file and the deployment file, and then deploy the full VM. After the deployment is done, you can SSH into the full VM.
The main goal of this guide is to show you all the necessary steps to deploy a Full VM on the TFGrid using Terraform. Once you get acquainted with this first basic deployment, you should be able to explore on your own the possibilities that the TFGrid and Terraform combined provide.
Main Process
For this guide, we use two files to deploy with Terraform. The first file contains the environment variables and the second file contains the parameters to deploy our workload.
To facilitate the deployment, only the environment variables file needs to be adjusted. The main.tf
file contains the environment variables (e.g. var.size
for the disk size) and thus you do not need to change this file. Of course, you can adjust the deployment based on your preferences. That being said, it should be easy to deploy the Terraform deployment with the main.tf
file as is.
On your local computer, create a new folder named terraform
and a subfolder called deployments
. In the subfolder, store the files main.tf
and credentials.auto.tfvars
.
Modify the variable file to take into account your own seed phrase and SSH keys. You should also specifiy the node ID of the 3Node you will be deploying on.
Once this is done, initialize and apply Terraform to deploy your workload, then SSH into the Full VM. That's it! Now let's go through all these steps in further details.
Prerequisites
You need to download and install properly Terraform. Simply follow the documentation depending on your operating system (Linux, MAC and Windows).
Find a 3Node with the ThreeFold Explorer
We want to find a proper 3Node to deploy our workload. For this guide, we want a 3Node with at least 15GB of storage, 1 vcore and 512MB of RAM, which are the minimum specifications for a micro VM on the TFGrid. We are also looking for a 3Node with a public IPv4 address.
We present two options to find a suitable node: the scheduler and the TFGrid Explorer.
Using the Grid Scheduler
Using the TFGrid scheduler can be very efficient depending on what you are trying to achieve. To learn more about the scheduler, please refer to this Scheduler Guide.
Using the Grid Explorer
We show here how to find a suitable 3Node using the ThreeFold Explorer.
- Go to the ThreeFold Grid Node Finder (Main Net)
- Find a 3Node with suitable resources for the deployment and take note of its node ID on the leftmost column
ID
- For proper understanding, we give further information on some relevant columns:
ID
refers to the node IDFree Public IPs
refers to available IPv4 public IP addresses- Resource unit codes (consult this page for more information)
HRU
is the code for the HDD unit (storage capacity in GB)SRU
is the code for the SSD unit (storage capacity in GB)MRU
is the code for the the memory unit (memory capacity in GB)CRU
is the code for the core unit (virtual cores capacity)
- To quicken the process of finding a proper 3Node, you can narrow down the search by adding filters:
- At the top left of the screen, in the
Filters
box, select the parameter(s) you want. - For each parameter, a new field will appear where you can enter a minimum number requirement for the 3Nodes.
Free SRU (GB)
: 15Free MRU (GB)
: 1Total CRU (Cores)
: 1Free Public IP
: 2- Note: if you want a public IPv4 address, it is recommended to set the parameter
FREE PUBLIC IP
to at least 2 to avoid false positives. This ensures that the shown 3Nodes have viable IP addresses.
- Note: if you want a public IPv4 address, it is recommended to set the parameter
- At the top left of the screen, in the
Once you've found a proper node, take node of its node ID. You will need to use this ID when creating the Terraform files.
Create the Terraform Files
Open the terminal.
-
Go to the home folder
-
cd ~
-
-
Create the folder
terraform
and the subfolderdeployment-full-vm
:-
mkdir -p terraform/deployment-full-vm
-
cd terraform/deployment-full-vm
-
-
Create the
main.tf
file:-
nano main.tf
-
-
Copy the
main.tf
content and save the file.
terraform {
required_providers {
grid = {
source = "threefoldtech/grid"
}
}
}
variable "mnemonics" {
type = string
}
variable "SSH_KEY" {
type = string
}
variable "tfnodeid1" {
type = string
}
variable "size" {
type = string
}
variable "cpu" {
type = string
}
variable "memory" {
type = string
}
provider "grid" {
mnemonics = var.mnemonics
network = "main"
}
locals {
name = "tfvm"
}
resource "grid_network" "net1" {
name = local.name
nodes = [var.tfnodeid1]
ip_range = "10.1.0.0/16"
description = "newer network"
add_wg_access = true
}
resource "grid_deployment" "d1" {
disks {
name = "disk1"
size = var.size
}
name = local.name
node = var.tfnodeid1
network_name = grid_network.net1.name
vms {
name = "vm1"
flist = "https://hub.grid.tf/tf-official-vms/ubuntu-22.04.flist"
cpu = var.cpu
mounts {
disk_name = "disk1"
mount_point = "/disk1"
}
memory = var.memory
entrypoint = "/sbin/zinit init"
env_vars = {
SSH_KEY = var.SSH_KEY
}
publicip = true
planetary = true
}
}
output "wg_config" {
value = grid_network.net1.access_wg_config
}
output "node1_zmachine1_ip" {
value = grid_deployment.d1.vms[0].ip
}
output "planetary_ip1" {
value = grid_deployment.d1.vms[0].planetary_ip
}
output "ipv4_vm1" {
value = grid_deployment.d1.vms[0].computedip
}
In this file, we name the VM as vm1
.
-
Create the
credentials.auto.tfvars
file:-
nano credentials.auto.tfvars
-
-
Copy the
credentials.auto.tfvars
content and save the file.
mnemonics = "..."
SSH_KEY = "..."
tfnodeid1 = "..."
size = "15"
cpu = "1"
memory = "512"
Make sure to add your own mnemonics and SSH public key. You will also need to specify the node ID of the server used. Simply replace the three dots by the content.
We set here the minimum specs for a full VM, but you can adjust these parameters. Here size
is the SSD storage capacity in GB, cpu
is the number of virtual core and memory
is the memory capacity in MB.
Deploy the Full VM with Terraform
We now deploy the full VM with Terraform. Make sure that you are in the correct folder terraform/deployments
containing the main and variables files.
-
Initialize Terraform:
-
terraform init
-
-
Apply Terraform to deploy the full VM:
-
terraform apply
-
After deployments, take note of the 3Node' IPv4 address. You will need this address to SSH into the 3Node.
SSH into the 3Node
- To SSH into the 3Node, write the following:
-
ssh root@VM_IPv4_Address
-
Delete the Deployment
To stop the Terraform deployment, you simply need to write the following line in the terminal:
terraform destroy
Make sure that you are in the Terraform directory you created for this deployment.
Conclusion
You now have the basic knowledge and know-how to deploy on the TFGrid using Terraform.