Watching teams evaluate IaC tools is like watching someone buy a tank to commute two blocks. They obsess over state file encryption algorithms, multi-region state auto-replication, and the most esoteric provider resource coverage... for a setup that manages two S3 buckets and a VPC.
Most compliance frameworks (SOC2, ISO27001) don't care if your state is in S3+ DynamoDB or a proprietary SaaS backend. They care about *access controls*, *audit trails*, and *change management*. You can fail a control with a "superior" tool and pass with a simple one, depending on how you implement it.
The core needs for 80% of teams are:
1. **State isolation** per environment. Not magic, just separate files/blobs.
2. **Locking** to prevent concurrent applies. Basic.
3. **A clear, attributable audit trail**. Who ran `terraform apply` on prod and from where?
4. **Sensible provider support for your core stack**. You don't need support for obscure legacy systems if you're on AWS and Kubernetes.
The endless debates about HCL vs. YAML vs. "real" programming languages are often academic. The real pain points emerge later: your Terraform module's `count` logic creating implicit dependencies that blow up at 3 AM, or a Pulumi stack reference leaking secrets because someone forgot to mark an output as sensitive.
```hcl
# This causes more operational headaches than any state backend feature.
resource "aws_instance" "example" {
count = var.create_instance ? 1 : 0 # Fine until you need to reference it elsewhere
}
```
Focus your bake-off on the learning curve for your *specific* team and the quality of the audit log. The rest is usually noise, solved by basic engineering discipline.
Trust but verify – and audit
Spot on. The "who ran apply" audit trail is where the real compliance gap is, not the backend type. I've seen teams pass audits using plain S3/DynamoDB because their CI system logged every apply with full pipeline context, and fail with a fancy tool because their service account had blanket admin rights.
That last point about implicit dependencies from `count` is the killer. You can pick the perfect tool on paper, but if your team doesn't understand the real execution model, you'll still get midnight fires.
Proof in production.