Imports your current Cloud infrastructure to an Infrastructure As Code Terraform configuration (HCL) or/and to a Terraform State.
At Cycloid, Infrastructure As Code is in the company DNA since the beginning. To help our new customers adopting this best practice, we decided to build Terracognita to convert an existing infrastructure on Cloud Infrastructure into Terraform code in an automated way, relying on Terraform providers built by the community. We focused on AWS, GCP, Azure and Vmware.
We decided to Open Source this tool as we believe that it will help people to adopt IaC in an easy way. Cycloid provides this tool to let people import their infrastructure into Cycloid's pipelines, allow them to generate infrastructure diagram and manage all infra/application life cycle from a single interface.
If you are interested in contributing to Terracognita or simply curious about what's next, take a look at the public roadmap. For a high level overview, check out the What is Terracognita? blogpost or watch this video.
Terracognita currently imports AWS, GCP, AzureRM and VMware vSphere cloud providers as Terraform (v1.1.9) resource/state. Please see the following versions as follow:
Providers:
Visit the releases page to select your system, architecture and version you need. To pull the latest release:
curl -L https://github.com/cycloidio/terracognita/releases/latest/download/terracognita-linux-amd64.tar.gz -o terracognita-linux-amd64.tar.gz
tar -xf terracognita-linux-amd64.tar.gz
chmod u+x terracognita-linux-amd64
sudo mv terracognita-linux-amd64 /usr/local/bin/terracognita
You can build and install with the latest sources, you will enjoy the new features and bug fixes. It uses Go Modules, so GO 1.17+ is required.
git clone https://github.com/cycloidio/terracognita
cd terracognita
make install
There are two entries in the AUR: terracognita-git (targets the latest git commit) and terracognita (targets the latest stable release).
yay -Ss terracognita
aur/terracognita 1:0.3.0-1 (+0 0.00%)
Reads from existing Cloud Providers (reverse Terraform) and generates your infrastructure as code on Terraform configuration
aur/terracognita-git 1:v0.3.0.r27.gdfc5a99-1 (+0 0.00%)
Reads from existing Cloud Providers (reverse Terraform) and generates your infrastructure as code on Terraform configuration
If you're macOS user and using Homebrew, you can install via brew command:
brew install terracognita
The main usage of Terracognita is:
terracognita [TERRAFORM_PROVIDER] [--flags]
You replace the TERRAFORM_PROVIDER
with the Provider you want to use (for example aws
) and then add the other required flags.
Each Provider has different flags and different required flags.
The more general ones are the --hcl
or --module
and --tfstate
which indicates the output file for the HCL (or module)
and the TFState that will be generated.
You can also --include
or --exclude
multiple resources by using the Terraform name it has like aws_instance
.
For more options you can always use terracognita --help
and terracognita [TERRAFORM_PROVIDER] --help
for the
specific documentation of the Provider.
We also have make help
that provide some helpers on using the actual codebase of Terracognita
Terracognita can generate Terraform Modules directly when importing. To enable this feature you'll need to use the --module {module/path/name}
and then on that specific path is where the module will be generated. The path has to be directory or a none existent path (it'll be created), the content of the path will be deleted (after user confirmation) so we can have a clean import.
The output structure will look like (having --module test
) this where each file aggregates the resources from the same "category":
test/
├── module-test
│ ├── autoscaling.tf
│ ├── cloud_front.tf
│ ├── cloud_watch.tf
│ ├── ec2.tf
│ ├── elastic_load_balancing_v2_alb_nlb.tf
│ ├── iam.tf
│ ├── rds.tf
│ ├── route53_resolver.tf
│ ├── route53.tf
│ ├── s3.tf
│ ├── ses.tf
│ └── variables.tf
└── module.tf
By default all the attributes will be changed for variables, those variables will then be on the module-{name}/variables.tf
and exposed on the module.tf
like so:
module "test" {
# aws_instance_front_instance_type = "t2.small"
[...]
source = "module-test"
}
If you want to change this behavior, as for big infrastructures this will create a lot of variables, you can use the --module-variables path/to/file
and the file will have the list of attributes that you want to actually be used as variables, it can be in JSON or YAML:
{
"aws_instance": [
"instance_type",
"cpu_threads_per_core",
"cpu_core_count"
]
}
aws_instance:
- instance_type
- cpu_threads_per_core
- cpu_core_count
You can use directly the image built, or you can build your own. To build your Docker image just run:
make dbuild
And then depending on the image you want to use (cycloid/terracognita
or your local build terracognita
):
docker run cycloid/terracognita -h
Example:
export AWS_ACCESS_KEY_ID=XXXXXXXXXXXXXXXXXXXX
export AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
export AWS_DEFAULT_REGION=xx-yyyy-0
docker run \
-v "${PWD}"/outputs:/app/outputs \
cycloid/terracognita aws \
--hcl app/outputs/resources.tf
The local version can be used the same way as docker. You simply need to be build it locally.
On the same folder you imported you can run the terraform init & plan commands:
terraform init
terraform plan -var access_key=$AWS_ACCESS_KEY_ID -var secret_key=$AWS_SECRET_ACCESS_KEY -var region=$AWS_DEFAULT_REGION
Please see the MIT LICENSE file.
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
Cycloid is a sustainable platform engineering to allow anyone to interact with tools, automation and cloud without having to become an expert and in respect of the best practices. Inside the self-service portal, you find some modules around Governance, deployment, operations, Finops and GreenOps. InfraImport inside Cycloid is the visual representation of Terracognita.
As of now, we have three open-source tools:
...and the functionality of each is also embedded in our platform, which you can find out more about here.