Add a Disk to an AWS EC2 Instance

Overview

In the following guide, you are going to create a self-service action in Port that executes a GitLab pipeline to add a disk to an EC2 Instance in AWS using Terraform templates.

Complementary guide

This guide complements the Creating an EC2 Instance guide.

Prerequisites

A Gitlab project to contain your action resources i.e. the gitlab pipeline file.
An AWS Account or IAM user with permission to create access keys. Learn more
An SSH Key Pair to connect with the provisioned instance. Learn more
In your GitLab project, go to the Settings menu at the sidebar on the left, select CI/CD and create the following Variables:
- PORT_CLIENT_ID - Port Client ID learn more
- PORT_CLIENT_SECRET - Port Client Secret learn more
- AWS_ACCESS_KEY_ID - An aws access key with the right iam permission to create an ec2 instance learn more
- AWS_SECRET_ACCESS_KEY - An aws access key secret with permission to create an ec2 instance learn more
- AWS_DEFAULT_REGION - The aws region where you would like to provision your ec2 instances.

GitLab Pipeline

Create a gitlab project to host the terraform template files and the .gitlab-ci.yaml file.
Create the terraform templates ( main.tf, variables.tf and outputs.tf ) at the root of your gitlab project.

main.tf

Understanding EBS Device Names in AWS

When attaching an EBS volume to an EC2 instance, the device_name parameter has to be unique to the instance. This name determines how the volume appears inside your instance.

Valid names depend on your instance's operating system and virtualization type:

Linux (most instances): Typically start with /dev/sd and a letter (e.g., /dev/sda, /dev/sdb)
Linux (PV virtualization): /dev/xvd followed by a letter.
Windows: Often follow the format \\.\PhysicalDriveN (N represents a number).

This guide covers attaching a single EBS volume to an instance. To attach multiple volumes on a single EC2 instance, adjust the terraform code to ensure that it generates unique device names.

main.tf
# Configure the providers
terraform {
  required_providers {
    port = {
      source  = "port-labs/port-labs"
      version = "~> 2.0.3"
    }
    aws = {
      source = "hashicorp/aws"
    }
  }

  required_version = ">= 1.1.0"
}


provider "aws" {
  region = var.aws_region
}

data "aws_instance" "entity" {
  instance_id = var.instance_id
}

resource "aws_ebs_volume" "new_volume" {
  availability_zone = data.aws_instance.entity.availability_zone
  size              = var.volume_size
  type              = var.volume_type

  tags = {
    Name = var.disk_name
  }
}

# Attach the EBS volume
resource "aws_volume_attachment" "new_volume" {
  device_name = "/dev/sdf"
  volume_id   = aws_ebs_volume.new_volume.id
  instance_id = var.instance_id
}

variables.tf

variable "aws_region" {
  type    = string
  default = "eu-west-1"
}

variable "port_run_id" {
  type = string
}

variable "instance_id" {
  type = string
}

variable "availability_zone" {
  type    = string
  default = "eu-west-1a"
}

variable "volume_size" {
  type = number
  default = 10
}

variable "volume_type" {
  type    = string
  default = "gp2"
}

variable "disk_name" {
  type = string
}

outputs.tf

outputs.tf
output "ebs_volume_id" {
  description = "The ID of the created EBS volume"
  value       = aws_ebs_volume.new_volume.id
}

Create a GitLab Workflow file under .gitlab-ci.yaml with the following content:

GitLab workflow

gitlab-ci.yaml
stages:
  - prerequisites
  - terraform
  - port-update

image:
  name: hashicorp/terraform:light
  entrypoint:
    - '/usr/bin/env'
    - 'PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'

variables:
  AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
  AWS_SECRET_ACCESS_KEY : ${AWS_SECRET_ACCESS_KEY}
  AWS_DEFAULT_REGION: ${AWS_DEFAULT_REGION}
  PORT_CLIENT_ID: ${PORT_CLIENT_ID}
  PORT_CLIENT_SECRET: ${PORT_CLIENT_SECRET}

before_script:
  - rm -rf .terraform
  - export AWS_ACCESS_KEY=${AWS_ACCESS_KEY_ID}
  - export AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
  - export AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION}
 
fetch-port-access-token:
  stage: prerequisites
  except:
    - pushes
  before_script:
    - apk update
    - apk add --upgrade curl jq -q
  script:
    - |
      echo "Getting access token from Port API"
      accessToken=$(curl -X POST \
        -H 'Content-Type: application/json' \
        -d '{"clientId": "'"$PORT_CLIENT_ID"'", "clientSecret": "'"$PORT_CLIENT_SECRET"'"}' \
        -s 'https://api.getport.io/v1/auth/access_token' | jq -r '.accessToken')
  
      echo "ACCESS_TOKEN=$accessToken" >> data.env
      runId=$(cat $TRIGGER_PAYLOAD | jq -r '.context.runId')
      instanceId=$(cat $TRIGGER_PAYLOAD | jq -r '.context.entity')
      
      echo "RUN_ID=$runId" >> data.env
      curl -X POST \
        -H 'Content-Type: application/json' \
        -H "Authorization: Bearer $accessToken" \
        -d '{"message":"🏃‍♂️ Starting action to add a disk to the EC2 instance: '$instanceId'"}' \
        "https://api.getport.io/v1/actions/runs/$runId/logs"
      curl -X PATCH \
        -H 'Content-Type: application/json' \
        -H "Authorization: Bearer $accessToken" \
        -d '{"link":"'"$CI_PIPELINE_URL"'"}' \
        "https://api.getport.io/v1/actions/runs/$runId"
  artifacts:
    reports:
      dotenv: data.env

check-quota:
  stage: prerequisites
  image: registry.gitlab.com/gitlab-org/cloud-deploy/aws-base:latest
  except:
    - pushes
  needs:
    - job: fetch-port-access-token
      artifacts: true
  script:
    - |
      echo "Checking AWS quota for EBS storage..."
      EC2_COUNT=1

      runId=$(cat $TRIGGER_PAYLOAD | jq -r '.context.runId')

      curl -X POST \
        -H 'Content-Type: application/json' \
        -H "Authorization: Bearer $ACCESS_TOKEN" \
        -d '{"statusLabel": "Checking Quota", "message":"🔍 Checking AWS quota for storage..."}' \
        "https://api.getport.io/v1/actions/runs/$runId/logs"


      echo "All quotas are sufficient for deployment." 
  artifacts:
    reports:
      dotenv: data.env

apply:
  stage: terraform
  needs:
    - job: check-quota
      artifacts: true
  except:
    - pushes
  before_script:
    - apk update
    - apk add --upgrade curl jq -q
    - terraform --version
    - terraform init
    - export TF_VAR_instance_id=$(cat $TRIGGER_PAYLOAD | jq -r '.context.entity')
    - export TF_VAR_volume_size=$(cat $TRIGGER_PAYLOAD | jq -r '.payload.properties.size')
    - export TF_VAR_disk_name=$(cat $TRIGGER_PAYLOAD | jq -r '.payload.properties.disk_name')
    - export TF_VAR_availability_zone=$(cat $TRIGGER_PAYLOAD | jq -r '.payload.entity.properties.availability_zone')
    - export TF_VAR_aws_region=${AWS_DEFAULT_REGION}
    - export TF_VAR_port_run_id=$(cat $TRIGGER_PAYLOAD | jq -r '.context.runId')
  script:
    - terraform validate
    - terraform plan -out="planfile"
    - | 
      disk_type_string=$(cat $TRIGGER_PAYLOAD | jq -r '.payload.properties.disk_type')
      disk_type=$(echo "$disk_type_string" | sed -n 's/.*(\([^)]*\)).*/\1/p')
      export TF_VAR_volume_type=$disk_type

      accessToken=$(curl -X POST \
        -H 'Content-Type: application/json' \
        -d '{"clientId": "'"$PORT_CLIENT_ID"'", "clientSecret": "'"$PORT_CLIENT_SECRET"'"}' \
        -s 'https://api.getport.io/v1/auth/access_token' | jq -r '.accessToken')
      runId=$(cat $TRIGGER_PAYLOAD | jq -r '.context.runId')

      curl -X POST \
          -H 'Content-Type: application/json' \
          -H "Authorization: Bearer $accessToken" \
          -d '{"statusLabel": "Creating Volume", "message":"🚀 Creating and attaching the volume to the instance"}' \
          "https://api.getport.io/v1/actions/runs/$runId/logs"

      terraform apply -input=false "planfile"
      
      volumeId=$(terraform output -raw ebs_volume_id)

      echo "VOLUME_ID=$volumeId" >> data.env
      echo "Volume ID: $volumeId"

  artifacts:
    reports:
      dotenv: data.env

create-entity:
  stage: port-update
  needs:
    - job: apply
      artifacts: true
  except:
    - pushes
  before_script:
    - apk update
    - apk add --upgrade curl jq -q
  script:
    - |
      echo "Creating Port entity for the volume"
      accessToken=$(curl -X POST \
        -H 'Content-Type: application/json' \
        -d '{"clientId": "'"$PORT_CLIENT_ID"'", "clientSecret": "'"$PORT_CLIENT_SECRET"'"}' \
        -s 'https://api.getport.io/v1/auth/access_token' | jq -r '.accessToken')

      INSTANCE_ID=$(cat $TRIGGER_PAYLOAD | jq -r '.context.entity')
      BLUEPRINT=$(cat $TRIGGER_PAYLOAD | jq -r '.context.blueprint')
      runId=$(cat $TRIGGER_PAYLOAD | jq -r '.context.runId')

      echo "INSTANCE_ID=${INSTANCE_ID}" >> data.env

      curl -X POST \
          -H 'Content-Type: application/json' \
          -H "Authorization: Bearer $accessToken" \
          -d '{"statusLabel": "Updating Entity", "message":"🚀 Updating the instance with the new disk definition!"}' \
          "https://api.getport.io/v1/actions/runs/$runId/logs"

      log='{"identifier": "'"$INSTANCE_ID"'", "properties": {"disks": ["'"$VOLUME_ID"'"]}}'

      echo "VOLUME_ID=$VOLUME_ID" >> data.env

      curl --location --request PATCH "https://api.getport.io/v1/blueprints/$BLUEPRINT/entities/$INSTANCE_ID?create_missing_related_entities=false&run_id=$runId" \
        -H "Authorization: Bearer $accessToken" \
        -H "Content-Type: application/json" \
        -d "$log"

update-run-status:
  stage: port-update
  needs:
    - job: create-entity
      artifacts: true
  except:
    - pushes
  before_script:
    - apk update
    - apk add --upgrade curl jq -q
  script:
    - |
      echo "Updating Port action run status and final logs"
      accessToken=$(curl -X POST \
        -H 'Content-Type: application/json' \
        -d '{"clientId": "'"$PORT_CLIENT_ID"'", "clientSecret": "'"$PORT_CLIENT_SECRET"'"}' \
        -s 'https://api.getport.io/v1/auth/access_token' | jq -r '.accessToken')
      runId=$(cat $TRIGGER_PAYLOAD | jq -r '.context.runId')

      INSTANCE_ID=$(cat $TRIGGER_PAYLOAD | jq -r '.context.entity')

      curl -X POST \
        -H 'Content-Type: application/json' \
        -H "Authorization: Bearer $accessToken" \
        -d '{"terminationStatus":"SUCCESS", "message":"✅ Added the volume '"$VOLUME_ID"' successfully to 🔗 Instance ID: '"$INSTANCE_ID"'!"}' \
        "https://api.getport.io/v1/actions/runs/$runId/logs"

Port Configuration

Head over to the Builder page to create the following blueprint:
- Click on the + Blueprint button.
- Click on the {...} Edit JSON button.
- Copy and paste the following JSON configuration into the editor.
- Click Save.

EC2 Instance Blueprint

{
  "identifier": "ec2Instance",
  "description": "This blueprint represents an AWS EC2 instance in our software catalog.",
  "title": "EC2 Instance",
  "icon": "EC2",
  "schema": {
    "properties": {
      "instance_state": {
        "type": "string",
        "title": "Instance State",
        "description": "The state of the EC2 instance (e.g., running, stopped).",
        "enum": [
          "pending",
          "running",
          "shutting-down",
          "terminated",
          "stopping",
          "stopped"
        ],
        "enumColors": {
          "pending": "yellow",
          "running": "green",
          "shutting-down": "pink",
          "stopped": "purple",
          "stopping": "orange",
          "terminated": "red"
        }
      },
      "instance_type": {
        "type": "string",
        "title": "Instance Type",
        "description": "The type of EC2 instance (e.g., t2.micro, m5.large)."
      },
      "availability_zone": {
        "type": "string",
        "title": "Availability Zone",
        "description": "The Availability Zone where the EC2 instance is deployed."
      },
      "public_dns": {
        "type": "string",
        "title": "Public DNS",
        "description": "The public DNS name assigned to the EC2 instance."
      },
      "public_ip": {
        "type": "string",
        "title": "Public IP Address",
        "description": "The public IP address assigned to the EC2 instance."
      },
      "private_dns": {
        "type": "string",
        "title": "Private DNS",
        "description": "The private DNS name assigned to the EC2 instance within its VPC."
      },
      "private_ip": {
        "type": "string",
        "title": "Private IP Address",
        "description": "The private IP address assigned to the EC2 instance within its VPC."
      },
      "monitoring": {
        "type": "boolean",
        "title": "Monitoring",
        "description": "Indicates if detailed monitoring is enabled for the EC2 instance."
      },
      "security_group_ids": {
        "type": "array",
        "title": "Security Group IDs",
        "description": "The list of security group IDs assigned to the EC2 instance."
      },
      "key_name": {
        "type": "string",
        "title": "Key Name",
        "description": "The name of the key pair associated with the EC2 instance."
      }
    },
    "required": []
  },
  "mirrorProperties": {},
  "calculationProperties": {},
  "aggregationProperties": {},
  "relations": {}
}

To create the Port action, go to the self-service page:
- Click on the + New Action button.
- Choose the EC2 Instance blueprint and click Next.
- Click on the {...} Edit JSON button.
- Copy and paste the following JSON configuration into the editor.

Port Action: Add Disk

modification required

<PROJECT_ID> - your project ID.
<PIPELINE_TRIGGER_TOKEN> - your pipeline trigger token. Learn more.

{
  "identifier": "ec2Instance_add_disk",
  "title": "Add Disk",
  "description": "Add a disk to the EC2 instance",
  "trigger": {
    "type": "self-service",
    "operation": "DAY-2",
    "userInputs": {
      "properties": {
        "disk_type": {
          "type": "string",
          "title": "Disk Type",
          "default": "General Purpose SSD (gp3)",
          "description": "Amazon EBS volume types",
          "enum": [
            "General Purpose SSD (gp3)",
            "General Purpose SSD (gp2)",
            "Provisioned IOPS SSD (io1)",
            "Provisioned IOPS SSD (io2)",
            "Cold HDD (sc1)",
            "Throughput Optimized HDD (st1)",
            "Magnetic (standard)"
          ],
          "enumColors": {
            "General Purpose SSD (gp3)": "lightGray",
            "General Purpose SSD (gp2)": "lightGray",
            "Provisioned IOPS SSD (io1)": "lightGray",
            "Provisioned IOPS SSD (io2)": "lightGray",
            "Cold HDD (sc1)": "lightGray",
            "Throughput Optimized HDD (st1)": "lightGray",
            "Magnetic (standard)": "lightGray"
          }
        },
        "disk_name": {
          "type": "string",
          "title": "Disk Name",
          "description": "The disk name"
        },
        "size": {
          "icon": "DefaultProperty",
          "type": "number",
          "title": "Size",
          "default": 5
        }
      },
      "required": [
        "disk_type",
        "disk_name",
        "size"
      ],
      "order": [
        "disk_type",
        "disk_name",
        "size"
      ]
    },
    "blueprintIdentifier": "ec2Instance"
  },
  "invocationMethod": {
    "type": "WEBHOOK",
    "url": "https://gitlab.com/api/v4/projects/<PROJECT_ID>/ref/main/trigger/pipeline?token=<PIPELINE_TRIGGER_TOKEN>",
    "agent": false,
    "synchronized": false,
    "method": "POST",
    "body": {
      "action": "{{ .action.identifier[(\"ec2Instance_\" | length):] }}",
      "resourceType": "run",
      "status": "TRIGGERED",
      "trigger": "{{ .trigger | {by, origin, at} }}",
      "context": {
        "entity": "{{.entity.identifier}}",
        "blueprint": "{{.action.blueprint}}",
        "runId": "{{.run.id}}"
      },
      "payload": {
        "entity": "{{ (if .entity == {} then null else .entity end) }}",
        "action": {
          "invocationMethod": {
            "type": "WEBHOOK",
            "url": "https://gitlab.com/api/v4/projects/<PROJECT_ID>/ref/main/trigger/pipeline?token=<PIPELINE_TRIGGER_TOKEN>",
            "agent": false,
            "synchronized": false,
            "method": "POST"
          },
          "trigger": "{{.trigger.operation}}"
        },
        "properties": {
          "{{if (.inputs | has(\"disk_type\")) then \"disk_type\" else null end}}": "{{.inputs.\"disk_type\"}}",
          "{{if (.inputs | has(\"disk_name\")) then \"disk_name\" else null end}}": "{{.inputs.\"disk_name\"}}",
          "{{if (.inputs | has(\"size\")) then \"size\" else null end}}": "{{.inputs.\"size\"}}"
        },
        "censoredProperties": "{{.action.encryptedProperties}}"
      }
    }
  },
  "requiredApproval": false
}

Fill out the backend form section with your values:
- For the Endpoint URL you need to add a URL in the following format:
  - To create a pipeline trigger token, follow this guide.
```
    https://gitlab.com/api/v4/projects/{PROJECT_ID}/ref/main/trigger/pipeline?token={PIPELINE_TRIGGER_TOKEN}
```
- Set HTTP method to POST.
- Set Request type to Async.
- Set Use self-hosted agent to No.

Let's test it!

Head to the Self Service hub
Click on the Add Disk action
Fill the pop-up form with details

Click on Execute
Wait for the disk to be added to the instance.

Congrats 🎉 You can now add a disk to an EC2 Instance in Port 🔥

Overview​

Prerequisites​

GitLab Pipeline​

Port Configuration​

Let's test it!​

Overview

Prerequisites

GitLab Pipeline

Port Configuration

Let's test it!