Generate Terraform infrastructure as code from visual AWS diagrams created in Cloudcraft.
Diagrams to code (d2c) is an open-source tool that automatically generates Terraform infrastructure as code from visual AWS diagrams created using Cloudcraft. It solves the problem of manually translating architectural designs into executable Terraform configurations, streamlining the infrastructure provisioning process. The tool takes a diagram as input and outputs ready-to-deploy Terraform code.
DevOps engineers, cloud architects, and infrastructure teams who design AWS architectures visually and want to automate the creation of Terraform code. It's particularly useful for those who use Cloudcraft for diagramming and seek to integrate visual design with infrastructure as code workflows.
Developers choose this tool because it significantly reduces the time and effort required to convert visual designs into working Terraform code, minimizing manual errors. Its tight integration with Cloudcraft provides a seamless workflow from diagram to deployment, and being open-source allows for customization and community-driven improvements.
Infrastructure as code generator - from visual diagrams created with Cloudcraft.co to Terraform
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Seamlessly converts Cloudcraft diagrams to Terraform code, bridging the gap between design and implementation as demonstrated in the demo repository and recordings.
Allows importing existing AWS resources into diagrams, enabling easy documentation and code generation for current setups, as mentioned in the key features.
Provides detailed instructions in the downloaded archive's README and demo recordings, making it accessible for users to follow from diagram to deployment.
Being open-source, it can be customized and extended, with a developer's guide for modifications using Python and serverless.tf framework.
Requires a Cloudcraft account and diagram creation within that platform, tying the workflow to a specific third-party tool and potentially adding subscription costs.
Only supports AWS resources for Terraform code generation, making it unsuitable for multi-cloud or hybrid infrastructure projects, as admitted in the feature list.
The auto-generated Terraform configurations may lack advanced features or optimizations, often requiring manual post-processing for production-ready deployments, as seen in the demo's straightforward output.