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VOOZH | about |
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VOOZH | about |
Structuring Terraform projects appropriately according to their use cases and perceived complexity is essential to ensure their maintainability and extensibility in day-to-day operations. A systematic approach to properly organizing code files is necessary to ensure that the project remains scalable during deployment and usable to you and your team.
In this tutorial, you’ll learn about structuring Terraform projects according to their general purpose and complexity. Then, you’ll create a project with a simple structure using the more common features of Terraform: variables, locals, data sources, and provisioners. In the end, your project will deploy an Ubuntu 20.04 server (Droplet) on DigitalOcean, install an Apache web server, and point your domain to the web server.
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Terraform is a popular open source Infrastructure as Code (IAC) tool that automates provisioning of your infrastructure in the cloud and manages the full lifecycle of all deployed resources, which are defined in source code. Its resource-managing behavior is predictable and reproducible, so you can plan the actions in advance and reuse your code configurations for similar infrastructure.
In this series, you will build out examples of Terraform projects to gain an understanding of the IAC approach and how it’s applied in practice to facilitate creating and deploying reusable and scalable infrastructure architectures.
Browse Series: 12 tutorials
Expert in cloud topics including Kafka, Kubernetes, and Ubuntu.
Former Senior Technical Editor at DigitalOcean, with a strong focus on DevOps and System Administration content. Areas of expertise include Terraform, PyTorch, Python, and Django.
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Terraform expects the executed program to write a human-readable error message to stderr and gracefully exit with a non-zero status,
Do you mean stdout ?
Also, creating a droplet with a name based on time, wouldn’t it create a new droplet with each tf plan/apply?
Thank you. That was perfect.
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