myGLOBAL PEET Integrated Platform Architecture

AWSDeploymentadvanced
myGLOBAL PEET Integrated Platform Architecture — AWS deployment diagram

About This Architecture

myGLOBAL PEET is a comprehensive AWS-native SaaS platform integrating core data services, event-driven workflows, domain-specific modules, and AI inference across six subnets within a VPC. Data flows from Platform Entry through CloudFront, WAF, and ALB into the Core Data layer (Aurora, RDS, DynamoDB, S3), then through EventBridge, Kinesis, and MSK Kafka to domain modules (myWORKS, mySUPPORT, mySITE, myBOT, myATHENA) and AI services (Bedrock, SageMaker, Comprehend). This architecture demonstrates enterprise-grade patterns for multi-tenant SaaS: centralized authentication via Cognito, event-driven orchestration with Step Functions, AI inference via Bedrock and EKS, and actionable output delivery through SNS and SES. Solutions architects can fork this diagram to customize domain modules, adjust subnet sizing, or integrate additional AWS services like AppConfig or Systems Manager. The design balances security (KMS encryption, Lake Formation governance), scalability (ECS, EKS, Lambda), and observability (CloudWatch, X-Ray) for mission-critical field service platforms.

People also ask

How do you design a multi-service AWS SaaS platform with event-driven workflows, AI inference, and domain-specific modules?

The myGLOBAL PEET architecture uses a six-subnet VPC pattern: Platform Entry (CloudFront, WAF, ALB), Core Data (Aurora, RDS, DynamoDB, S3), Event Layer (EventBridge, Kinesis, MSK Kafka), Domain Modules (ECS/Lambda apps), AI Inference (Bedrock, SageMaker, EKS), and Action Output (SNS, SES). This design separates concerns, enables independent scaling, and integrates AWS AI services for intelligent r

AWSSaaSVPCevent-drivenAI inferencemicroservices
Domain:
Cloud Aws
Audience:
AWS solutions architects designing enterprise SaaS platforms with multi-service integration

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About This Architecture

myGLOBAL PEET is a comprehensive AWS-native SaaS platform integrating core data services, event-driven workflows, domain-specific modules, and AI inference across six subnets within a VPC. Data flows from Platform Entry through CloudFront, WAF, and ALB into the Core Data layer (Aurora, RDS, DynamoDB, S3), then through EventBridge, Kinesis, and MSK Kafka to domain modules (myWORKS, mySUPPORT, mySITE, myBOT, myATHENA) and AI services (Bedrock, SageMaker, Comprehend). This architecture demonstrates enterprise-grade patterns for multi-tenant SaaS: centralized authentication via Cognito, event-driven orchestration with Step Functions, AI inference via Bedrock and EKS, and actionable output delivery through SNS and SES. Solutions architects can fork this diagram to customize domain modules, adjust subnet sizing, or integrate additional AWS services like AppConfig or Systems Manager. The design balances security (KMS encryption, Lake Formation governance), scalability (ECS, EKS, Lambda), and observability (CloudWatch, X-Ray) for mission-critical field service platforms.

People also ask

How do you design a multi-service AWS SaaS platform with event-driven workflows, AI inference, and domain-specific modules?

The myGLOBAL PEET architecture uses a six-subnet VPC pattern: Platform Entry (CloudFront, WAF, ALB), Core Data (Aurora, RDS, DynamoDB, S3), Event Layer (EventBridge, Kinesis, MSK Kafka), Domain Modules (ECS/Lambda apps), AI Inference (Bedrock, SageMaker, EKS), and Action Output (SNS, SES). This design separates concerns, enables independent scaling, and integrates AWS AI services for intelligent r

myGLOBAL PEET Integrated Platform Architecture

AWSadvancedSaaSVPCevent-drivenAI inferencemicroservices
Domain: Cloud AwsAudience: AWS solutions architects designing enterprise SaaS platforms with multi-service integration
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Created by

April 28, 2026

Updated

April 28, 2026 at 5:39 AM

Type

deployment

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