aws-solution-architect

# AWS Solution Architect

Design scalable, cost-effective AWS architectures for startups with infrastructure-as-code templates.

---

## Workflow

### Step 1: Gather Requirements

Collect application specifications:

```
- Application type (web app, mobile backend, data pipeline, SaaS)
- Expected users and requests per second
- Budget constraints (monthly spend limit)
- Team size and AWS experience level
- Compliance requirements (GDPR, HIPAA, SOC 2)
- Availability requirements (SLA, RPO/RTO)
```

### Step 2: Design Architecture

Run the architecture designer to get pattern recommendations:

```bash
python scripts/architecture_designer.py --input requirements.json
```

**Example output:**

```json
{
  "recommended_pattern": "serverless_web",
  "service_stack": ["S3", "CloudFront", "API Gateway", "Lambda", "DynamoDB", "Cognito"],
  "estimated_monthly_cost_usd": 35,
  "pros": ["Low ops overhead", "Pay-per-use", "Auto-scaling"],
  "cons": ["Cold starts", "15-min Lambda limit", "Eventual consistency"]
}
```

Select from recommended patterns:
- **Serverless Web**: S3 + CloudFront + API Gateway + Lambda + DynamoDB
- **Event-Driven Microservices**: EventBridge + Lambda + SQS + Step Functions
- **Three-Tier**: ALB + ECS Fargate + Aurora + ElastiCache
- **GraphQL Backend**: AppSync + Lambda + DynamoDB + Cognito

See `references/architecture_patterns.md` for detailed pattern specifications.

**Validation checkpoint:** Confirm the recommended pattern matches the team's operational maturity and compliance requirements before proceeding to Step 3.

### Step 3: Generate IaC Templates

Create infrastructure-as-code for the selected pattern:

```bash
# Serverless stack (CloudFormation)
python scripts/serverless_stack.py --app-name my-app --region us-east-1
```

**Example CloudFormation YAML output (core serverless resources):**

```yaml
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31

Parameters:
  AppName:
    Type: String
    Default: my-app

Resource...