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Terraform Provisioners: When to Use Them and When to Avoid Them

Provisioners can help run local or remote commands during apply, but they’re risky. Learn how they work, where they break, and safer alternatives to use instead.

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What Are Terraform Provisioners?

Provisioners are blocks inside a Terraform resource that run scripts or commands during terraform apply or destroy.

They come in two types:

Type

Purpose

local-exec

Runs a command on your local machine

remote-exec

Runs a command on the provisioned resource

local-exec Provisioner

Executes a command on your local machine, typically for things like:

  • Triggering Ansible or Bash scripts

  • Running curl, scp, aws CLI

  • Notifying other services or systems

🔧 Example:

resource "null_resource" "notify" {
  provisioner "local-exec" {
    command = "echo Deployment complete!"
  }
}

Output:

null_resource.notify: Provisioning with 'local-exec'...
Deployment complete!

remote-exec Provisioner

Runs commands on the remote resource, like an EC2 instance.

Requires connection details like SSH key, user, and host.

🔧 Example:

resource "aws_instance" "web" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t2.micro"

  provisioner "remote-exec" {
    inline = [
      "sudo apt-get update",
      "sudo apt-get install -y nginx"
    ]
  }

  connection {
    type        = "ssh"
    user        = "ubuntu"
    private_key = file("~/.ssh/id_rsa")
    host        = self.public_ip
  }
}

Using file Provisioner

Terraform also lets you copy files to a remote machine:

provisioner "file" {
  source      = "startup.sh"
  destination = "/tmp/startup.sh"
}
 

Requires a working connection block.

⚠️ Why Provisioners Are a Last Resort

HashiCorp officially states that provisioners should only be used as a last resort. Why?

  • They break idempotency: If the resource is unchanged but the script changes, Terraform won’t know to rerun it.

  • They cause dependency issues: Terraform doesn’t track provisioners in its state.

  • They’re fragile: SSH failures, connection timeouts, or unreachable hosts can break the entire apply process.

  • They’re hard to debug: Logs are embedded in apply output, and re-running them isn’t easy.

When to Use Provisioners (Cautiously)

  • Initial setup where you must install something right after creation

  • Lightweight file copy or bootstrap scripts

  • Triggering external tools or notifications

When to Avoid Them

  • Long-running or complex scripts → use Ansible, Chef, or user-data

  • Repetitive provisioning logic → use cloud-init or Packer

  • Anything you can do with native Terraform resources

  • Provisioning infrastructure in CI/CD pipelines

🔁 Safer Alternatives

Use Case

Better Option

VM bootstrapping

Use user_data in EC2

Config management

Use Ansible/Chef/Puppet

File deployment

Use baked AMIs or cloud-init

Event triggering

Use webhooks / external tools

Post-deployment orchestration

Run from CI/CD or external automation

💡 Tip of the Day:

If your Terraform apply depends on a script working perfectly you’ve already lost. Use provisioners for bootstrap, not orchestration.

📚 Resources & References

1️⃣ Provisioners Documentation
🔗 Docs
Official guide with usage, examples, and caveats.

2️⃣ Provisioners vs User Data
🔗 Learn
How to bootstrap EC2 instances the right way.

3️⃣ SSH Connection Block Details
🔗 Docs
Reference for remote-exec connection settings.

4️⃣ Terraform local-exec
🔗 Doc
Use when you want local automation without real infra.

5️⃣ Null Resource
🔗 Doc

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Conclusion

Terraform provisioners are powerful but that power comes with complexity and fragility.

Use local-exec to trigger lightweight local actions. Use remote-exec sparingly for immediate bootstrapping. Avoid running your business logic inside a provisioner. And when in doubt, reach for user_data, baked images, or external tools instead.

Infrastructure as code works best when it’s declarative, reliable, and idempotent. Provisioners? They’re the exception not the rule.