terraformtfvarsjson
Key Takeaways
- Use JSON tfvars when you need nested objects, arrays, or complex data structures that plain HCL key‑value syntax can’t express cleanly.
- JSON tfvars improve machine readability and make integration with other tools (e.g., CI/CD pipelines, secret managers) straightforward.
- Plain .tfvars files remain the go‑to choice for simple, human‑friendly variable definitions.
- Mix‑and‑matching JSON and plain tfvars is possible but requires careful ordering to avoid variable overrides.
- Validate JSON syntax early and keep secrets out of version control to maintain security.
What Is Terraform tfvars JSON?
Terraform allows you to define input variables in files that end with the .tfvars extension. While the classic format is HCL‑style (key = "value"), Terraform also accepts pure JSON for the same purpose. A JSON tfvars file looks like a standard JSON object, for example:
{
"region": "us-west-2",
"instance_count": 3,
"tags": {
"Environment": "Production",
"Owner": "InfraTeam"
},
"allowed_ports": [22, 80, 443]
}
The file can be named myvars.json or myvars.tfvars.json; Terraform will parse it as long as the content is valid JSON.
Why Use tfvars JSON Over Plain .tfvars?
Plain .tfvars files are great for simple key‑value pairs, but they have limitations when you need richer data shapes. JSON shines in three core scenarios:
Complex Data Structures
JSON natively supports nested objects and arrays, making it easy to model lists of subnets, map of tag sets, or hierarchical configurations without resorting to Terraform’s legacy list and map syntax tricks.
Tool Interoperability
Many CI/CD systems, secret managers, and configuration APIs already emit or expect JSON. Using a JSON tfvars file eliminates the need for an extra parsing step on your infrastructure code pipeline.
Machine‑Friendly Parsing
JSON parsers are language‑agnostic and well‑tested. Your automation scripts can read, validate, and transform tfvars JSON with standard libraries, reducing custom HCL parsing logic.