A CLI tool that generates tf
and tfstate
files based on existing infrastructure
(reverse Terraform).
- Disclaimer: This is not an official Google product
- Status: beta - we still need to improve documentation, squash some bugs, etc...
- Created by: Waze SRE
- Generate
tf
+tfstate
files from existing infrastructure for all supported objects by resource. - Remote state can be uploaded to a GCS bucket.
- Connect between resources with
terraform_remote_state
(local and bucket). - Save
tf
files using a custom folder tree pattern. - Import by resource name and type.
Terraformer uses terraform providers and is designed to easily support newly added resources. To upgrade resources with new fields, all you need to do is upgrade the relevant terraform providers.
Import current state to terraform configuration from google cloud
Usage:
import google [flags]
import google [command]
Available Commands:
list List supported resources for google provider
Flags:
-b, --bucket string gs://terraform-state
-c, --connect (default true)
-f, --filter strings google_compute_firewall=id1:id2:id4
-h, --help help for google
-o, --path-output string (default "generated")
-p, --path-pattern string {output}/{provider}/custom/{service}/ (default "{output}/{provider}/{service}/")
--projects strings
-r, --resources strings firewalls,networks
-s, --state string local or bucket (default "local")
-z, --zone string
Read-only permissions
Filters are a way to choose which resources terraformer
imports.
For example:
terraformer import aws --resources=vpc,subnet --filter=aws_vpc=myvpcid --regions=eu-west-1
will import only one VPC and all subnets from all VPCs (not just the ones from the filtered VPC)
Filtering is based on Terraform resource ID patterns. To find valid ID patterns for your resource, check the import part of Terraform documentation.
The plan
command generates a planfile that contains all the resources set to be imported. By modifying the planfile before running the import
command, you can rename or filter the resources you'd like to import.
The rest of subcommands and parameters are identical to the import
command.
$ terraformer plan google --resources=networks,firewalls --projects=my-project --zone=europe-west1-d
(snip)
Saving planfile to generated/google/my-project/terraformer/plan.json
After reviewing/customizing the planfile, begin the import by running import plan
.
$ terraformer import plan generated/google/my-project/terraformer/plan.json
From source:
- Run
git clone <terraformer repo>
- Run
GO111MODULE=on go mod vendor
- Run
go build -v
- Run
terraform init
against aninit.tf
file to install the plugins required for your platform. For example, if you need plugins for the google provider,init.tf
should contain:
provider "google" {}
Or alternatively
- Copy your Terraform provider's plugin(s) to folder
~/.terraform.d/plugins/{darwin,linux}_amd64/
, as appropriate.
From Releases:
- Linux
curl -LO https://github.com/GoogleCloudPlatform/terraformer/releases/download/$(curl -s https://api.github.com/repos/GoogleCloudPlatform/terraformer/releases/latest | grep tag_name | cut -d '"' -f 4)/terraformer-linux-amd64
chmod +x terraformer-linux-amd64
sudo mv terraformer-linux-amd64 /usr/local/bin/terraformer
- MacOS
curl -LO https://github.com/GoogleCloudPlatform/terraformer/releases/download/$(curl -s https://api.github.com/repos/GoogleCloudPlatform/terraformer/releases/latest | grep tag_name | cut -d '"' -f 4)/terraformer-darwin-amd64
chmod +x terraformer-darwin-amd64
sudo mv terraformer-darwin-amd64 /usr/local/bin/terraformer
If you want to use a package manager:
- Homebrew users can use
brew install terraformer
.
Links to download terraform providers:
- google cloud provider >2.0.0 - here
- aws provider >1.56.0 - here
- openstack provider >1.17.0 - here
- kubernetes provider >=1.4.0 - here
- github provider >=2.0.0 - here
- datadog provider >1.19.0 - here
Information on provider plugins: https://www.terraform.io/docs/configuration/providers.html
terraformer import google --resources=gcs,forwardingRules,httpHealthChecks --connect=true --zone=europe-west1-a --projects=aaa,fff
terraformer import google --resources=gcs,forwardingRules,httpHealthChecks --filter=google_compute_firewall=rule1:rule2:rule3 --zone=europe-west1-a --projects=aaa,fff
List of supported GCP services:
addresses
google_compute_address
autoscalers
google_compute_autoscaler
backendBuckets
google_compute_backend_bucket
backendServices
google_compute_backend_service
bigQuery
google_bigquery_dataset
google_bigquery_table
schedulerJobs
google_cloud_scheduler_job
disks
google_compute_disk
firewalls
google_compute_firewall
forwardingRules
google_compute_forwarding_rule
globalAddresses
google_compute_global_address
globalForwardingRules
google_compute_global_forwarding_rule
healthChecks
google_compute_health_check
httpHealthChecks
google_compute_http_health_check
httpsHealthChecks
google_compute_https_health_check
images
google_compute_image
instanceGroupManagers
google_compute_instance_group_manager
instanceGroups
google_compute_instance_group
instanceTemplates
google_compute_instance_template
instances
google_compute_instance
interconnectAttachments
google_compute_interconnect_attachment
memoryStore
google_redis_instance
networks
google_compute_network
nodeGroups
google_compute_node_group
nodeTemplates
google_compute_node_template
regionAutoscalers
google_compute_region_autoscaler
regionBackendServices
google_compute_region_backend_service
regionDisks
google_compute_region_disk
regionInstanceGroupManagers
google_compute_region_instance_group_manager
routers
google_compute_router
routes
google_compute_route
securityPolicies
google_compute_security_policy
sslPolicies
google_compute_ssl_policy
subnetworks
google_compute_subnetwork
targetHttpProxies
google_compute_target_http_proxy
targetHttpsProxies
google_compute_target_https_proxy
targetInstances
google_compute_target_instance
targetPools
google_compute_target_pool
targetSslProxies
google_compute_target_ssl_proxy
targetTcpProxies
google_compute_target_tcp_proxy
targetVpnGateways
google_compute_vpn_gateway
urlMaps
google_compute_url_map
vpnTunnels
google_compute_vpn_tunnel
gke
google_container_cluster
google_container_node_pool
pubsub
google_pubsub_subscription
google_pubsub_topic
dataProc
google_dataproc_cluster
cloudFunctions
google_cloudfunctions_function
gcs
google_storage_bucket
google_storage_bucket_acl
google_storage_default_object_acl
google_storage_bucket_iam_binding
google_storage_bucket_iam_member
google_storage_bucket_iam_policy
google_storage_notification
monitoring
google_monitoring_alert_policy
google_monitoring_group
google_monitoring_notification_channel
google_monitoring_uptime_check_config
dns
google_dns_managed_zone
google_dns_record_set
cloudsql
google_sql_database_instance
google_sql_database
kms
google_kms_key_ring
google_kms_crypto_key
project
google_project
Your tf
and tfstate
files are written by default to
generated/gcp/zone/service
.
Example:
terraformer import aws --resources=vpc,subnet --connect=true --regions=eu-west-1 --profile=prod
terraformer import aws --resources=vpc,subnet --filter=aws_vpc=vpc_id1:vpc_id2:vpc_id3 --regions=eu-west-1
List of supported AWS services:
elb
aws_elb
alb
aws_lb
aws_lb_listener
aws_lb_listener_rule
aws_lb_listener_certificate
aws_lb_target_group
aws_lb_target_group_attachment
auto_scaling
aws_autoscaling_group
aws_launch_configuration
aws_launch_template
rds
aws_db_instance
aws_db_parameter_group
aws_db_subnet_group
aws_db_option_group
aws_db_event_subscription
iam
aws_iam_role
aws_iam_role_policy
aws_iam_user
aws_iam_user_group_membership
aws_iam_user_policy
aws_iam_policy_attachment
aws_iam_policy
aws_iam_group
aws_iam_group_membership
aws_iam_group_policy
igw
aws_internet_gateway
nacl
aws_network_acl
s3
aws_s3_bucket
aws_s3_bucket_policy
sg
aws_security_group
subnet
aws_subnet
vpc
aws_vpc
vpn_connection
aws_vpn_connection
vpn_gateway
aws_vpn_gateway
route53
aws_route53_zone
aws_route53_record
acm
aws_acm_certificate
elasticache
aws_elasticache_cluster
aws_elasticache_parameter_group
aws_elasticache_subnet_group
aws_elasticache_replication_group
cloudfront
aws_cloudfront_distribution
ec2_instance
aws_instance
Example:
terraformer import openstack --resources=compute,networking --regions=RegionOne
List of supported OpenStack services:
compute
openstack_compute_instance_v2
networking
openstack_networking_secgroup_v2
openstack_networking_secgroup_rule_v2
blockstorage
openstack_blockstorage_volume_v1
openstack_blockstorage_volume_v2
openstack_blockstorage_volume_v3
Example:
terraformer import kubernetes --resources=deployments,services,storageclasses
terraformer import kubernetes --resources=deployments,services,storageclasses --filter=kubernetes_deployment=name1:name2:name3
All kubernetes resources that are currently supported by the kubernetes provider, are also supported by this module. Here is the list of resources which are currently supported by kubernetes provider v.1.4:
clusterrolebinding
kubernetes_cluster_role_binding
configmaps
kubernetes_config_map
deployments
kubernetes_deployment
horizontalpodautoscalers
kubernetes_horizontal_pod_autoscaler
limitranges
kubernetes_limit_range
namespaces
kubernetes_namespace
persistentvolumes
kubernetes_persistent_volume
persistentvolumeclaims
kubernetes_persistent_volume_claim
pods
kubernetes_pod
replicationcontrollers
kubernetes_replication_controller
resourcequotas
kubernetes_resource_quota
secrets
kubernetes_secret
services
kubernetes_service
serviceaccounts
kubernetes_service_account
statefulsets
kubernetes_stateful_set
storageclasses
kubernetes_storage_class
- Terraform kubernetes provider is rejecting resources with ":" characters in their names (as they don't meet DNS-1123), while it's allowed for certain types in kubernetes, e.g. ClusterRoleBinding.
- Because terraform flatmap uses "." to detect the keys for unflattening the maps, some keys with "." in their names are being considered as the maps.
- Since the library assumes empty strings to be empty values (not "0"), there are some issues with optional integer keys that are restricted to be positive.
Example:
./terraformer import github --organizations=YOUR_ORGANIZATION --resources=repositories --token=YOUR_TOKEN // or GITHUB_TOKEN in env
./terraformer import github --organizations=YOUR_ORGANIZATION --resources=repositories --filter=github_repository=id1:id2:id4 --token=YOUR_TOKEN // or GITHUB_TOKEN in env
Supports only organizational resources. List of supported resources:
repositories
github_repository
github_repository_webhook
github_branch_protection
github_repository_collaborator
github_repository_deploy_key
teams
github_team
github_team_membership
github_team_repository
members
github_membership
organization_webhooks
github_organization_webhook
Notes:
- Terraformer can't get webhook secrets from the github API. If you use a secret token in any of your webhooks, running
terraform plan
will result in a change being detected: =>configuration.#: "1" => "0"
in tfstate only.
Example:
./terraformer import datadog --resources=monitor --api-key=YOUR_DATADOG_API_KEY // or DATADOG_API_KEY in env --app-key=YOUR_DATADOG_APP_KEY // or DATADOG_APP_KEY in env
./terraformer import datadog --resources=monitor --filter=datadog_monitor=id1:id2:id4 --api-key=YOUR_DATADOG_API_KEY // or DATADOG_API_KEY in env --app-key=YOUR_DATADOG_APP_KEY // or DATADOG_APP_KEY in env
List of supported Datadog services:
downtime
datadog_downtime
monitor
datadog_monitor
screenboard
datadog_screenboard
synthetics
datadog_synthetics_test
timeboard
datadog_timeboard
user
datadog_user
If you have improvements or fixes, we would love to have your contributions. Please read CONTRIBUTING.md for more information on the process we would like contributors to follow.
Terraformer was built so you can easily add new providers of any kind.
Process for generating tf
+ tfstate
files:
- Call GCP/AWS/other api and get list of resources.
- Iterate over resources and take only the ID (we don't need mapping fields!)
- Call to provider for readonly fields.
- Call to infrastructure and take tf + tfstate.
- Call to provider using the refresh method and get all data.
- Convert refresh data to go struct.
- Generate HCL file -
tf
files. - Generate
tfstate
files.
All mapping of resource is made by providers and Terraform. Upgrades are needed only for providers.
For GCP compute resources, use generated code from
providers/gcp/gcp_compute_code_generator
.
To regenerate code:
go run providers/gcp/gcp_compute_code_generator/*.go