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terraform-deploy

GoogleCloudPlatform/dataflow-solution-guides/.agents/skills/terraform-deploy/SKILL.md

Manage, validate, plan, apply, and destroy Google Cloud Foundation Fabric Terraform infrastructure across all solution guides in this repository. Use when setting up new GCP environments, modifying IAM configurations, managing Spanner/BigQuery/Bigtable resources, validating Terraform syntax, or tearing down test infrastructure.

Skill44 starsChanged 26 days ago

What's in it

  1. Terraform Deployment Skill
  2. 1. Prerequisites Checklist
  3. 2. Infrastructure Deployment Procedure
  4. Step 1: Navigate to the Target Use Case
  5. Step 2: Configure terraform.tfvars
  6. Step 3: Format & Validate
  7. Step 4: Plan Infrastructure Changes
  8. Step 5: Apply Configuration
  9. Step 6: Verify Generated Variables Script
  10. 3. Teardown Procedure
---
name: terraform-deploy
description: >-
  Manage, validate, plan, apply, and destroy Google Cloud Foundation Fabric Terraform infrastructure across all solution guides in this repository.
  Use when setting up new GCP environments, modifying IAM configurations, managing Spanner/BigQuery/Bigtable resources,
  validating Terraform syntax, or tearing down test infrastructure.
---

# Terraform Deployment Skill

This skill guides the agent through managing, validating, applying, and tearing down Google Cloud infrastructure across all use cases in the `terraform/` directory.

---

## 1. Prerequisites Checklist

Before executing Terraform operations:
1. Verify Google Cloud credentials:
   ```bash
   gcloud auth list
   gcloud config get-value project
   ```
2. Ensure Terraform is installed (`terraform version >= 1.5.0`).
3. Check for service account name collisions in the target project before applying:
   ```bash
   gcloud iam service-accounts list --project=$PROJECT --filter="email:<sa-name>"
   ```

---

## 2. Infrastructure Deployment Procedure

### Step 1: Navigate to the Target Use Case
```bash
cd terraform/<use_case>
```
Available use cases:
- `ml_ai`
- `etl_integration`
- `cdp`
- `anomaly_detection`
- `marketing_intelligence`
- `clickstream_analytics`
- `iot_analytics`
- `log_replication_splunk`

### Step 2: Configure `terraform.tfvars`
Create or inspect `terraform.tfvars`:
```hcl
project_id             = "my-gcp-project-id"
region                 = "us-central1"
subnetwork             = "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT/regions/REGION/subnetworks/SUBNET_NAME" # optional
service_account_name   = "<use-case>-dataflow-sa" # optional override
bucket_name            = "my-gcp-project-id"      # optional
create_bucket          = false                    # Set true if GCS bucket does not exist
destroy_all_resources  = true                     # Enables force_destroy on GCS & Spanner for demo environments
```

### Step 3: Format & Validate
```bash
terraform fmt
terraform init
terraform validate
```

### Step 4: Plan Infrastructure Changes
Review all planned resource additions, modifications, and deletions:
```bash
terraform plan -out=tfplan
```
Verify:
- Dataflow service account has domain-specific name and minimal necessary roles.
- Target datasets and instances use `var.region`.
- No unneeded project/network foundation resources are being created.

### Step 5: Apply Configuration
```bash
terraform apply tfplan
```

### Step 6: Verify Generated Variables Script
Confirm that Terraform successfully rendered the environment file in the corresponding pipeline directory:
```bash
ls -la ../../pipelines/<use_case>/scripts/*_set_variables.sh || ls -la ../../pipelines/<use_case>/scripts/00_set_environment.sh
```

---

## 3. Teardown Procedure

To safely destroy demo resources:
```bash
# 1. First cancel any active Dataflow jobs in the project
gcloud dataflow jobs list --project=$PROJECT --region=$REGION --status=active
gcloud dataflow jobs cancel <JOB_ID> --project=$PROJECT --region=$REGION

# 2. Wait until jobs reach Cancelled or Drained state
# 3. Then run terraform destroy
terraform destroy -auto-approve
```

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