Thanks to infrastructure as code (IaC), organizations can scalably and consistently automate and manage their IT infrastructure. With major tech companies and cloud providers offering different IaC tools, Terraform by HashiCorp stands out for its declarative approach to provisioning and managing cloud resources. An interesting feature in Terraform's suite of commands is terraform refresh, which plays a pivotal role in ensuring the state of the infrastructure aligns with the configuration files.
This article delves into terraform refresh, its significance in infrastructure management, and how to utilize it effectively.
Understanding Terraform Refresh
Terraform refresh synchronizes your Terraform state file with the current state of your infrastructure managed by Terraform. Imagine your Terraform state file as a blueprint outlining the desired configuration for your infrastructure. However, manual changes might be made directly to the infrastructure outside of Terraform's control over time. Terraform refresh bridges this gap by refreshing the state file to reflect these real-world modifications.
The primary purpose of terraform refresh is to detect any drift between the actual state of the resources and the desired state, as defined in the configuration files. This drift can occur due to manual changes made to the infrastructure outside of Terraform or changes in the infrastructure environment itself.
How to Use Terraform Refresh
Using terraform refresh is straightforward. The command syntax is as follows:
$ terraform refresh
This command instructs Terraform to refresh the state file for all resources currently managed in your Terraform configuration. It's important to note that terraform refresh only updates the state file; it doesn't make any modifications to your actual infrastructure.
Suppose you have a Terraform configuration that provisions an AWS S3 bucket instance. Here's a sample configuration file (main.tf):
provider "aws" {
region = "us-west-2"
}
resource "aws_s3_bucket" "example" {
bucket = "my-unique-bucket-name"
acl = "private"
}
To apply this configuration and create the S3 bucket, you would run the following:
$ terraform init
$ terraform apply
If any changes are made to the S3 bucket directly via the AWS console or API, running terraform refresh will update the state file to reflect these changes:
$ terraform refresh
Additional Options and Flags
- input: If set to false, disables interactive input when Terraform needs user input
- state: Specifies a custom state file to be used for the operation
Here is an example of their usage:
$ terraform refresh -input=false -state="custom_state.tfstate"
Benefits of Terraform Refresh
There are several advantages to incorporating terraform refresh into your infrastructure management workflow, some of them are:
- Improved plan accuracy: By refreshing the state file, terraform refresh ensures your terraform plan outputs accurately reflect the desired changes required to bring your infrastructure into alignment with your Terraform configuration. This eliminates the risk of proposing unnecessary modifications based on outdated state information.
- Enhanced infrastructure visibility: Terraform refresh grants you a clear picture of the current state of your infrastructure. This transparency allows you to identify any discrepancies between your code and the actual infrastructure, empowering you to take corrective actions if necessary.
- Streamlined infrastructure management: Terraform refresh simplifies infrastructure management by keeping your Terraform state file up to date. You can confidently apply configuration changes, knowing your state file accurately reflects the underlying infrastructure.
Best Practices for Using Terraform Refresh
Here are some best practices to keep in mind when using terraform refresh:
- Prior to Terraform v0.15.4: In earlier versions, terraform refresh directly updated your state file. However, this behavior is now considered deprecated due to potential safety concerns. It's recommended to use terraform apply -refresh-only instead. This approach offers the benefit of prompting you for confirmation before finalizing the refresh, allowing you to review the changes before they're applied to the state file.
- -auto-approve: While some documentation might reference the -auto-approve flag with terraform refresh, this flag is also deprecated and should be avoided. It bypasses confirmation and potentially leads to unintended consequences.
- Planned usage: It's generally recommended to use terraform refresh strategically, particularly before running terraform plan or terraform apply commands. This ensures your plan reflects the most recent infrastructure state.
- Version control integration: Consider integrating your Terraform configuration with a version control system like Git. This allows you to track changes to your Terraform code and revert to previous versions if necessary. This becomes especially important if a terraform refresh reveals unexpected discrepancies.
- Limited scope refresh: If you only want to refresh a specific resource or module within your Terraform configuration, you can leverage the -target flag with terraform refresh. This targeted approach can be helpful in managing large and complex infrastructure deployments.
- Understanding potential impact: While terraform refresh updates the state file, it doesn't modify your infrastructure. However, refreshing the state may reveal differences between your desired state (defined in your Terraform configuration) and the actual state of your infrastructure. Be prepared to address any discrepancies that arise after refreshing the state file.
Conclusion
Terraform refresh plays a critical role in maintaining consistency between your Terraform configuration and your actual infrastructure. By keeping your state file synchronized, you ensure your plans are accurate and your infrastructure management is streamlined.
For advanced storage solutions that complement your Terraform-managed infrastructure, consider Pure Storage offerings like Portworx® for Kubernetes and Pure Cloud Block Store™ for various container workloads. These solutions provide robust data management capabilities that can further enhance the reliability and efficiency of your cloud infrastructure.
