In my previous post azure resource deployment, I laid the groundwork by hardcoding values into our main.tf file. This approach was designed for clarity, focusing on grasping the Terraform workflow. However, in practical scenarios, we often need to deploy to multiple environments, such as development, staging, and production. This article delves into how we can adapt and replicate our setup for these diverse environments, taking us from tutorial to real-world applicability.
In this article, we explore how to use the variable.tf file paired with terraform.tfvars for multiple environment.
Introducing variable.tf ,dev.tfvars prod.tfvarsfiles where variable.tf acts as a declaration hub, defining variables with names, types, and optional default values. This centralizes variable management. Meanwhile, .tfvars assigns values to these variables, allowing for easy, environment-specific variable configuration. This separation streamlines the handling of variables across various environments by employing multiple .tfvars files.