Define Cloud Infrastructure with Pulumi Using TypeScript or Python
Create a Pulumi infrastructure program with reusable components, stack configs, secrets management, and multi-environment support.
📝 The Prompt
Write a Pulumi program in [LANGUAGE] (TypeScript or Python) that provisions the following cloud infrastructure on [CLOUD_PROVIDER] (AWS, Azure, or GCP):
**Target Architecture**: [ARCHITECTURE_DESCRIPTION] (e.g., a containerized web app with a load balancer, managed database, and CDN; a serverless API with Lambda, API Gateway, and DynamoDB).
Requirements:
1. **Project Structure**:
- Organize resources into logical modules/files: networking, compute, database, and monitoring.
- Use a `Pulumi.dev.yaml` and `Pulumi.prod.yaml` stack configuration for environment-specific values like instance sizes, replica counts, and feature flags.
- Read configuration values using `pulumi.Config()` rather than hardcoding.
2. **Core Resources**:
- Provision [RESOURCE_LIST] (e.g., VPC with public/private subnets, ECS service, RDS instance, S3 bucket).
- Enable encryption, logging, and monitoring by default.
- Use [CLOUD_PROVIDER]'s managed services where possible.
3. **Reusable Components**:
- Create at least one Pulumi `ComponentResource` class for [COMPONENT_NAME] (e.g., a `WebService` that bundles an ALB, ECS service, and target group) with configurable properties.
- Show how to instantiate this component multiple times with different configurations.
4. **Secrets and Config**:
- Store sensitive values (database passwords, API keys) using `pulumi.Config().requireSecret()`.
- Pass secrets to resources without exposing them in plain text in state.
5. **Outputs and Stack References**:
- Export key outputs: endpoint URLs, resource IDs, connection strings.
- Show how another Pulumi stack can consume these outputs using `StackReference`.
6. **Error Handling**:
- Add input validation for component arguments.
- Use `pulumi.log` for informational messages during deployment.
Include inline comments explaining design decisions and a README snippet describing how to deploy with `pulumi up`.
💡 Tips for Better Results
Specify your preferred language clearly — Pulumi's TypeScript and Python APIs differ significantly in patterns and idioms. Describe your target architecture in detail in [ARCHITECTURE_DESCRIPTION] to get properly connected resources instead of isolated ones. Use `pulumi preview` to validate the generated code before deploying.
🎯 Use Cases
Platform engineers and full-stack developers use this when they prefer defining infrastructure in a general-purpose programming language with type safety, loops, and conditionals instead of declarative HCL.