Aws Solution Architect

AWS Solution Architect

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

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: python scripts/architecture_designer.py --input requirements.json Example output: { "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: # Serverless stack (CloudFormation) python scripts/serverless_stack.py --app-name my-app --region us-east-1 Example CloudFormation YAML output (core serverless resources): AWSTemplateFormatVersion: '2010-09-09' Transform: AWS::Serverless-2016-10-31 Parameters: AppName: Type: String Default: my-app Resources: ApiFunction: Type: AWS::Serverless::Function Properties: Handler: index.handler Runtime: nodejs20.x MemorySize: 512 Timeout: 30 Environment: Variables: TABLE_NAME: !Ref DataTable Policies: - DynamoDBCrudPolicy: TableName: !Ref DataTable Events: ApiEvent: Type: Api Properties: Path: /{proxy+} Method: ANY DataTable: Type: AWS::DynamoDB::Table Properties: BillingMode: PAY_PER_REQUEST AttributeDefinitions: - AttributeName: pk AttributeType: S - AttributeName: sk AttributeType: S KeySchema: - AttributeName: pk KeyType: HASH - AttributeName: sk KeyType: RANGE Full templates including API Gateway, Cognito, IAM roles, and CloudWatch logging are generated by serverless_stack.py and also available in references/architecture_patterns.md. Example CDK TypeScript snippet (three-tier pattern): import * as ecs from 'aws-cdk-lib/aws-ecs'; import * as ec2 from 'aws-cdk-lib/aws-ec2'; import * as rds from 'aws-cdk-lib/aws-rds'; const vpc = new ec2.Vpc(this, 'AppVpc', { maxAzs: 2 }); const cluster = new ecs.Cluster(this, 'AppCluster', { vpc }); const db = new rds.ServerlessCluster(this, 'AppDb', { engine: rds.DatabaseClusterEngine.auroraPostgres({ version: rds.AuroraPostgresEngineVersion.VER_15_2, }), vpc, scaling: { minCapacity: 0.5, maxCapacity: 4 }, });

Step 4: Review Costs

Analyze estimated costs and optimization opportunities: python scripts/cost_optimizer.py --resources current_setup.json --monthly-spend 2000 Example output: { "current_monthly_usd": 2000, "recommendations": [ { "action": "Right-size RDS db.r5.2xlarge → db.r5.large", "savings_usd": 420, "priority": "high" }, { "action": "Purchase 1-yr Compute Savings Plan at 40% utilization", "savings_usd": 310, "priority": "high" }, { "action": "Move S3 objects >90 days to Glacier Instant Retrieval", "savings_usd": 85, "priority": "medium" } ], "total_potential_savings_usd": 815 } Output includes: Monthly cost breakdown by service Right-sizing recommendations Savings Plans opportunities Potential monthly savings

Step 5: Deploy

Deploy the generated infrastructure: # CloudFormation aws cloudformation create-stack \ --stack-name my-app-stack \ --template-body file://template.yaml \ --capabilities CAPABILITY_IAM # CDK cdk deploy # Terraform terraform init && terraform apply

Step 6: Validate and Handle Failures

Verify deployment and set up monitoring: # Check stack status aws cloudformation describe-stacks --stack-name my-app-stack # Set up CloudWatch alarms aws cloudwatch put-metric-alarm --alarm-name high-errors ... If stack creation fails: Check the failure reason: aws cloudformation describe-stack-events \ --stack-name my-app-stack \ --query 'StackEvents[?ResourceStatus==`CREATE_FAILED`]' Review CloudWatch Logs for Lambda or ECS errors. Fix the template or resource configuration. Delete the failed stack before retrying: aws cloudformation delete-stack --stack-name my-app-stack # Wait for deletion aws cloudformation wait stack-delete-complete --stack-name my-app-stack # Redeploy aws cloudformation create-stack ... Common failure causes: IAM permission errors → verify --capabilities CAPABILITY_IAM and role trust policies Resource limit exceeded → request quota increase via Service Quotas console Invalid template syntax → run aws cloudformation validate-template --template-body file://template.yaml before deploying

architecture_designer.py

Generates architecture patterns based on requirements. python scripts/architecture_designer.py --input requirements.json --output design.json Input: JSON with app type, scale, budget, compliance needs Output: Recommended pattern, service stack, cost estimate, pros/cons

serverless_stack.py

Creates serverless CloudFormation templates. python scripts/serverless_stack.py --app-name my-app --region us-east-1 Output: Production-ready CloudFormation YAML with: API Gateway + Lambda DynamoDB table Cognito user pool IAM roles with least privilege CloudWatch logging

cost_optimizer.py

Analyzes costs and recommends optimizations. python scripts/cost_optimizer.py --resources inventory.json --monthly-spend 5000 Output: Recommendations for: Idle resource removal Instance right-sizing Reserved capacity purchases Storage tier transitions NAT Gateway alternatives

MVP Architecture (< $100/month)

• Ask: "Design a serverless MVP backend for a mobile app with 1000 users"
• Result:
• Lambda + API Gateway for API
• DynamoDB pay-per-request for data
• Cognito for authentication
• S3 + CloudFront for static assets
• Estimated: $20-50/month

Scaling Architecture ($500-2000/month)

• Ask: "Design a scalable architecture for a SaaS platform with 50k users"
• Result:
• ECS Fargate for containerized API
• Aurora Serverless for relational data
• ElastiCache for session caching
• CloudFront for CDN
• CodePipeline for CI/CD
• Multi-AZ deployment

Cost Optimization

• Ask: "Optimize my AWS setup to reduce costs by 30%. Current spend: $3000/month"
• Provide: Current resource inventory (EC2, RDS, S3, etc.)
• Result:
• Idle resource identification
• Right-sizing recommendations
• Savings Plans analysis
• Storage lifecycle policies
• Target savings: $900/month

IaC Generation

• Ask: "Generate CloudFormation for a three-tier web app with auto-scaling"
• Result:
• VPC with public/private subnets
• ALB with HTTPS
• ECS Fargate with auto-scaling
• Aurora with read replicas
• Security groups and IAM roles

Input Requirements

Provide these details for architecture design: RequirementDescriptionExampleApplication typeWhat you're buildingSaaS platform, mobile backendExpected scaleUsers, requests/sec10k users, 100 RPSBudgetMonthly AWS limit$500/month maxTeam contextSize, AWS experience3 devs, intermediateComplianceRegulatory needsHIPAA, GDPR, SOC 2AvailabilityUptime requirements99.9% SLA, 1hr RPO JSON Format: { "application_type": "saas_platform", "expected_users": 10000, "requests_per_second": 100, "budget_monthly_usd": 500, "team_size": 3, "aws_experience": "intermediate", "compliance": ["SOC2"], "availability_sla": "99.9%" }

Architecture Design

Pattern recommendation with rationale Service stack diagram (ASCII) Monthly cost estimate and trade-offs

IaC Templates

CloudFormation YAML: Production-ready SAM/CFN templates CDK TypeScript: Type-safe infrastructure code Terraform HCL: Multi-cloud compatible configs

Cost Analysis

Current spend breakdown with optimization recommendations Priority action list (high/medium/low) and implementation checklist

Reference Documentation

DocumentContentsreferences/architecture_patterns.md6 patterns: serverless, microservices, three-tier, data processing, GraphQL, multi-regionreferences/service_selection.mdDecision matrices for compute, database, storage, messagingreferences/best_practices.mdServerless design, cost optimization, security hardening, scalability