Terraforming

Export existing AWS resources to Terraform style (tf, tfstate)

• Supported version
• Installation
• Prerequisites
• Usage
  • Export tf
  • Export tfstate
  • Example: Export all
• Run as Docker container
• Development
• Contributing
• License

Supported version

Ruby 2.1 or higher

Installation

Add this line to your application's Gemfile:

gem 'terraforming'

And then execute:

$ bundle

Or install it yourself as:

$ gem install terraforming

Prerequisites

You need to set AWS credentials.

export AWS_ACCESS_KEY_ID=XXXXXXXXXXXXXXXXXXXX
export AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
export AWS_REGION=xx-yyyy-0

You can also specify credential profile in ~/.aws/credentials by --profile option.

$ cat ~/.aws/credentials
[hoge]
aws_access_key_id = Hoge
aws_secret_access_key = FugaFuga

# Pass profile name by --profile option
$ terraforming s3 --profile hoge

You can force the AWS SDK to utilize the CA certificate that is bundled with the SDK for systems where the default OpenSSL certificate is not installed (e.g. Windows) by utilizing the --use-bundled-cert option.

PS C:\> terraforming ec2 --use-bundled-cert

Usage

$ terraforming
Commands:
  terraforming asg             # AutoScaling Group
  terraforming dbpg            # Database Parameter Group
  terraforming dbsg            # Database Security Group
  terraforming dbsn            # Database Subnet Group
  terraforming ec2             # EC2
  terraforming ecc             # ElastiCache Cluster
  terraforming ecsn            # ElastiCache Subnet Group
  terraforming eip             # EIP
  terraforming elb             # ELB
  terraforming help [COMMAND]  # Describe available commands or one specifi...
  terraforming iamg            # IAM Group
  terraforming iamgm           # IAM Group Membership
  terraforming iamgp           # IAM Group Policy
  terraforming iamip           # IAM Instance Profile
  terraforming iamp            # IAM Policy
  terraforming iamp            # IAM Policy Attachment
  terraforming iamr            # IAM Role
  terraforming iamrp           # IAM Role Policy
  terraforming iamu            # IAM User
  terraforming iamup           # IAM User Policy
  terraforming igw             # Internet Gateway
  terraforming lc              # Launch Configuration
  terraforming nacl            # Network ACL
  terraforming nat             # NAT Gateway
  terraforming nif             # Network Interface
  terraforming opwcl           # OpsWorks Custom Layer
  terraforming opws            # OpsWorks Stack
  terraforming r53r            # Route53 Record
  terraforming r53z            # Route53 Hosted Zone
  terraforming rds             # RDS
  terraforming rs              # Redshift
  terraforming rt              # Route Table
  terraforming rta             # Route Table Association
  terraforming s3              # S3
  terraforming sg              # Security Group
  terraforming sn              # Subnet
  terraforming sqs             # SQS
  terraforming vgw             # VPN Gateway
  terraforming vpc             # VPC

Options:
  [--merge=MERGE]                  # tfstate file to merge
  [--overwrite], [--no-overwrite]  # Overwrite existng tfstate
  [--tfstate], [--no-tfstate]      # Generate tfstate
  [--profile=PROFILE]              # AWS credentials profile
  [--region=REGION]                # AWS region

Export tf

$ terraforming <resource> [--profile PROFILE]

(e.g. S3 buckets):

$ terraforming s3

resource "aws_s3_bucket" "hoge" {
    bucket = "hoge"
    acl    = "private"
}

resource "aws_s3_bucket" "fuga" {
    bucket = "fuga"
    acl    = "private"
}

Export tfstate

$ terraforming <resource> --tfstate [--merge TFSTATE_PATH] [--overwrite] [--profile PROFILE]

(e.g. S3 buckets):

$ terraforming s3 --tfstate

{
  "version": 1,
  "serial": 1,
  "modules": {
    "path": [
      "root"
    ],
    "outputs": {
    },
    "resources": {
      "aws_s3_bucket.hoge": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "hoge",
          "attributes": {
            "acl": "private",
            "bucket": "hoge",
            "id": "hoge"
          }
        }
      },
      "aws_s3_bucket.fuga": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "fuga",
          "attributes": {
            "acl": "private",
            "bucket": "fuga",
            "id": "fuga"
          }
        }
      }
    }
  }
}

If you want to merge exported tfstate to existing terraform.tfstate, specify --tfstate --merge=/path/to/terraform.tfstate option. You can overwrite existing terraform.tfstate by specifying --overwrite option together.

Existing terraform.tfstate:

# /path/to/terraform.tfstate

{
  "version": 1,
  "serial": 88,
  "remote": {
    "type": "s3",
    "config": {
      "bucket": "terraforming-tfstate",
      "key": "tf"
    }
  },
  "modules": {
    "path": [
      "root"
    ],
    "outputs": {
    },
    "resources": {
      "aws_elb.hogehoge": {
        "type": "aws_elb",
        "primary": {
          "id": "hogehoge",
          "attributes": {
            "availability_zones.#": "2",
            "connection_draining": "true",
            "connection_draining_timeout": "300",
            "cross_zone_load_balancing": "true",
            "dns_name": "hoge-12345678.ap-northeast-1.elb.amazonaws.com",
            "health_check.#": "1",
            "id": "hogehoge",
            "idle_timeout": "60",
            "instances.#": "1",
            "listener.#": "1",
            "name": "hoge",
            "security_groups.#": "2",
            "source_security_group": "default",
            "subnets.#": "2"
          }
        }
      }
    }
  }
}

To generate merged tfstate:

$ terraforming s3 --tfstate --merge=/path/to/tfstate

{
  "version": 1,
  "serial": 89,
  "remote": {
    "type": "s3",
    "config": {
      "bucket": "terraforming-tfstate",
      "key": "tf"
    }
  },
  "modules": {
    "path": [
      "root"
    ],
    "outputs": {
    },
    "resources": {
      "aws_elb.hogehoge": {
        "type": "aws_elb",
        "primary": {
          "id": "hogehoge",
          "attributes": {
            "availability_zones.#": "2",
            "connection_draining": "true",
            "connection_draining_timeout": "300",
            "cross_zone_load_balancing": "true",
            "dns_name": "hoge-12345678.ap-northeast-1.elb.amazonaws.com",
            "health_check.#": "1",
            "id": "hogehoge",
            "idle_timeout": "60",
            "instances.#": "1",
            "listener.#": "1",
            "name": "hoge",
            "security_groups.#": "2",
            "source_security_group": "default",
            "subnets.#": "2"
          }
        }
      },
      "aws_s3_bucket.hoge": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "hoge",
          "attributes": {
            "acl": "private",
            "bucket": "hoge",
            "id": "hoge"
          }
        }
      },
      "aws_s3_bucket.fuga": {
        "type": "aws_s3_bucket",
        "primary": {
          "id": "fuga",
          "attributes": {
            "acl": "private",
            "bucket": "fuga",
            "id": "fuga"
          }
        }
      }
    }
  }
}

After writing exported tf and tfstate to files, execute terraform plan and check the result. There should be no diff.

$ terraform plan
No changes. Infrastructure is up-to-date. This means that Terraform
could not detect any differences between your configuration and
the real physical resources that exist. As a result, Terraform
doesn't need to do anything.

Example: Export all

Example assuming you want to export everything from us-west-2 and you are using ~/.aws/credentials with a default profile

export AWS_REGION=us-west-2
terraforming help | grep terraforming | grep -v help | awk '{print "terraforming", $2, "--profile", "default", ">", $2".tf";}' | bash
# remove files that only have 1 empty line (nothing in AWS)
find . -type f | xargs wc -l | grep '1 .' | awk '{print $2;}' | xargs rm

Run as Docker container

Terraforming Docker Image is available at quay.io/dtan4/terraforming and developed at dtan4/dockerfile-terraforming.

Pull the Docker image:

$ docker pull quay.io/dtan4/terraforming:latest

And then run Terraforming as a Docker container:

$ docker run \
    --rm \
    --name terraforming \
    -e AWS_ACCESS_KEY_ID=XXXXXXXXXXXXXXXXXXXX \
    -e AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx \
    -e AWS_REGION=xx-yyyy-0 \
    quay.io/dtan4/terraforming:latest \
    terraforming s3

Development

After checking out the repo, run script/setup to install dependencies. Then, run script/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release to create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

1. Fork it ( https://github.com/dtan4/terraforming/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request

License