Testing Strategy

Implementation Studio uses a transparent, multi-layered testing strategy that acknowledges what can be tested locally versus what requires cloud deployment.

Testing Philosophy

Transparency First

Every lab includes a VALIDATION-STATUS.md file that clearly states:

• What has been tested
• How it was tested
• What requires cloud deployment
• What the community can help validate

Local-First Where Possible

We prioritize content that can be validated locally:

• Kubernetes manifests
• Network policies
• RBAC configurations
• Air-gapped deployments (fully local)
• Multi-tenant isolation

Honest About Cloud Requirements

We're transparent about what requires GCP:

• VPC creation
• GKE cluster provisioning
• Load balancers
• IAM bindings

What Can Be Tested Locally

Fully Local (Kind/Minikube)

These components can be fully validated without cloud access:

• Kubernetes Manifests

  • kubectl apply --dry-run=client (client-side validation)
  • kubectl apply --dry-run=server (server-side validation with cluster)
  • kubeval (schema validation)

• Helm Charts

  • helm template (render without deploying)
  • helm lint (chart validation)

• Kustomize Overlays

  • kustomize build (validate overlays)

• Network Policies

  • Deploy to Kind cluster
  • Test isolation between namespaces

• RBAC Configurations

  • Test with kubectl auth can-i
  • Validate in Kind cluster

• Argo Workflows

  • Full installation and execution in Kind
  • Workflow submission and execution

• Air-Gapped Deployment

  • This IS the target environment (fully local)

• Multi-Tenant Isolation

  • Namespace isolation
  • Resource quotas
  • Network policies

Tools for Local Validation

# Kubernetes manifest validation
kubeval manifests/*.yaml

# Helm chart validation
helm template . | kubeval

# Kustomize validation
kustomize build . | kubeval

# Dry-run deployment
kubectl apply --dry-run=client -f manifests/

# Kind cluster for testing
kind create cluster --config kind-config.yaml

What Requires Cloud Deployment

GCP-Specific Resources

These require actual GCP deployment:

• VPC Creation

  • Subnet configuration
  • NAT gateway setup
  • Route tables

• GKE Cluster Provisioning

  • Cluster creation
  • Node pool configuration
  • Private cluster setup

• IAM Bindings

  • Service account creation
  • Role bindings
  • Workload identity

• Load Balancers

  • Ingress controller setup
  • External IP allocation
  • Health checks

• Private Service Connect

  • Private endpoint configuration
  • DNS resolution

• Cloud SQL Connectivity

  • Database proxy setup
  • Connection testing

Terraform Validation

Even without deploying, we can validate:

# Format checking
terraform fmt -check

# Syntax validation
terraform validate

# Linting
tflint

# Planning (requires credentials but doesn't deploy)
terraform plan

Validation Status Documentation

Each lab includes VALIDATION-STATUS.md:

# Validation Status

## Components

| Component | Validation Method | Status | Notes |
|-----------|------------------|--------|-------|
| Kubernetes manifests | kubeval, dry-run | ✅ Validated | |
| Helm charts | helm template | ✅ Validated | |
| Network policies | Kind deployment | ✅ Validated | |
| Terraform modules | terraform validate | ✅ Validated | |
| GCP resources | Requires deployment | ⚠️ Reviewed | Not deployed to GCP |

## How to Validate

### Local Validation
./scripts/validate-local.sh

### Cloud Validation
# Requires GCP project and credentials
./scripts/validate-cloud.sh

## Community Validation

If you've deployed this lab successfully, please:
1. Open an issue confirming successful deployment
2. Note your GCP region and any modifications made
3. Update this file via PR if appropriate

Validation Scripts

Each lab includes validation scripts:

• validate-local.sh - Runs all local validation checks
• validate-cloud.sh - Runs cloud-specific validation (requires GCP)

Community Validation

We encourage the community to:

1. Deploy labs to GCP and report success
2. Note any issues or modifications needed
3. Update VALIDATION-STATUS.md via PR
4. Share region-specific findings

This creates a living validation record that helps others.

CI/CD Validation

GitHub Actions workflows validate:

• Terraform formatting and syntax
• Kubernetes manifest validation
• Markdown linting
• Shell script syntax

See .github/workflows/ for validation pipelines.

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This transparent approach ensures users know what to expect and can contribute to validation efforts.