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# **The Complete Technical Guide to CUE (Configure-Unify-Execute)**
*A structured, practical, and comprehensive introduction to CUE—covering core concepts, real-world applications, and best practices.*
---
## **1. Introduction to CUE**
### **What is CUE?**
CUE (**Configure-Unify-Execute**) is an **open-source data constraint language** developed at Google. It is designed for:
- **Configuration management** (Kubernetes, Terraform, CI/CD)
- **Data validation** (API schemas, input sanitization)
- **Code generation** (Dockerfiles, Kubernetes manifests, SQL schemas)
- **Policy enforcement** (security rules, compliance checks)
Unlike YAML/JSON, CUE merges **types, values, and constraints** into a single model, enabling **deterministic, reproducible configurations**.
### **Why CUE Over Alternatives?**
| Tool | Strengths | Weaknesses vs. CUE |
|--------------|-----------------------------|---------------------------------|
| **YAML** | Human-readable, widely used | No validation, no logic, fragile |
| **Jsonnet** | Templating, code reuse | Slower, no built-in validation |
| **HCL** | Terraform integration | Less flexible for non-TF use |
| **Pulumi** | Full programming model | Complex, runtime-dependent |
| **CUE** | **Validation + unification** | Steeper initial learning curve |
---
## **2. Core Concepts**
### **The CUE Lattice**
CUEs power comes from its **lattice structure**, where:
- **`_` (Top)**: Accepts any value (e.g., `string`, `int`, `{}`).
- **`_|_` (Bottom)**: An invalid/conflicting value (error state).
- **Unification (`&`)** combines constraints (like logical AND).
- **Disjunction (`|`)** allows alternatives (like logical OR).
**Example:**
```cue
#Schema: {
name: string & =~"^[A-Z][a-z]+$" // Must start with uppercase
age: int & >0 & <120 // Age between 0 and 120
role?: "admin" | "user" // Optional role
}
valid: #Schema & { name: "Alice", age: 30 } // ✅ Valid
invalid: #Schema & { name: "alice", age: 150 } // ❌ Fails (name, age)
```
---
## **3. Getting Started**
### **Installation**
```bash
# Install CUE
brew install cue-lang/tap/cue # macOS
sudo apt-get install cue # Debian/Ubuntu
go install cuelang.org/go/cmd/cue@latest # Go users
# Verify
cue version
```
### **Basic Workflow**
1. **Define schemas** (`.cue` files).
2. **Validate data** (`cue vet`).
3. **Export to JSON/YAML** (`cue export`).
**Example:**
```cue
// schema.cue
#Person: {
name: string
age: int & >=18
}
// data.json
{ "name": "Bob", "age": 25 }
# Validate
cue vet schema.cue data.json # Passes
```
---
## **4. Real-World Use Cases**
### **Case 1: Kubernetes Configuration**
**Problem**: YAML files are brittle and hard to validate.
**Solution**: Define a reusable schema.
```cue
// k8s.cue
#Deployment: {
apiVersion: "apps/v1"
kind: "Deployment"
metadata: name: string
spec: {
replicas: int & >=1
template: spec: containers: [{
name: string
image: string & =~".+:.+"
}]
}
}
myapp: #Deployment & {
metadata: name: "webapp"
spec: replicas: 3
spec: template: spec: containers: [{ name: "app", image: "nginx:latest" }]
}
# Export to YAML
cue export k8s.cue -e myapp --out yaml > deploy.yaml
```
### **Case 2: Terraform Guardrails**
**Problem**: Prevent invalid cloud configurations.
**Solution**: Enforce AWS/GCP policies.
```cue
#AWS: {
region: "us-east-1" | "us-west-2"
instanceType: "t2.micro" | "t3.medium"
}
my_vm: #AWS & {
region: "us-east-1"
instanceType: "t2.micro" # Valid
}
invalid_vm: #AWS & {
region: "eu-west-1" # Fails (invalid region)
}
```
### **Case 3: CI/CD Pipeline-as-Code**
**Problem**: YAML-based pipelines are hard to maintain.
**Solution**: Define pipelines in CUE.
```cue
#Pipeline: {
steps: [...{
name: string
cmd: string
}]
}
my_pipeline: #Pipeline & {
steps: [
{ name: "build", cmd: "go build" },
{ name: "test", cmd: "go test" },
]
}
# Generate GitHub Actions YAML
cue export pipeline.cue --out yaml > .github/workflows/ci.yml
```
---
## **5. Debugging & Best Practices**
### **Debugging Unification Errors**
- Use `cue eval -v` to trace unification steps.
- Check for `_|_` (bottom) in output—indicates conflicts.
### **Best Practices**
1. **Modularize**: Split schemas into files (`schemas/`, `configs/`).
2. **Reuse**: Leverage CUEs **import system** (`import "acme.com/schemas"`).
3. **Validate Early**: Run `cue vet` in CI/CD.
---
## **6. Advanced Topics**
### **Go + CUE Integration**
Embed CUE in Go programs for dynamic validation:
```go
package main
import (
"cuelang.org/go/cue/cuecontext"
"fmt"
)
func main() {
ctx := cuecontext.New()
schema := ctx.CompileString(`
#Person: {
name: string
age: int & >=18
}`)
data := ctx.CompileString(`{ name: "Alice", age: 30 }`)
unified := schema.Unify(data)
if err := unified.Validate(); err != nil {
fmt.Println("Validation failed:", err)
} else {
fmt.Println("Valid!")
}
}
```
### **Generating Code**
Convert CUE to:
- **OpenAPI**: `cue export --out openapi`
- **Go Structs**: `cue get go`
- **SQL**: Use templates (`text/template`).
---
## **7. Learning Resources**
- **Official Docs**: [cuelang.org](https://cuelang.org/)
- **Playground**: [cuelang.org/play](https://cuelang.org/play)
- **Community**: [CUE Slack](https://cuelang.slack.com/)
---
## **Conclusion**
CUE replaces **ad-hoc YAML/JSON** with **structured, validated, and reusable** configurations. By mastering:
1. **Lattice logic** (unification, constraints),
2. **Real-world workflows** (K8s, Terraform, CI/CD),
3. **Tooling integration** (Go, OpenAPI),
You can eliminate configuration errors and enforce policies **declaratively**.
**Next Step**: Try the [CUE Tutorial](https://cuelang.org/docs/tutorials/) or experiment in the **playground**! 🚀