Here’s a detailed sequence diagram and deployment strategy for the Enterprise Architecture in AWS using APIs and Microservices.
1. Sequence Diagram for API Call Flow
This diagram shows how a typical API request flows through the system, including authentication, microservices processing, and database interactions.
Actors & Components:
- User (Web/Mobile Client)
- API Gateway (Authentication & Routing)
- Auth Service (AWS Cognito for authentication)
- Microservices (Running in ECS, EKS, or Lambda)
- Database Layer (Amazon RDS, DynamoDB)
- Logging & Monitoring (CloudWatch, X-Ray)
📌 API Call Flow Sequence:
plaintextCopyEditUser → API Gateway → Cognito (Authentication)
→ API Gateway (Forward request) → Microservice (ECS/EKS/Lambda)
→ Check Cache (ElastiCache - Redis)
→ If cache HIT, return data
→ If cache MISS, fetch from Database (RDS/DynamoDB)
→ Process request and store logs in CloudWatch
→ Return response to API Gateway
API Gateway → User (Final response)
🖼️ API Request Flow (Logical Diagram)
plaintextCopyEdit+------------+ +--------------+ +-------------+ +--------------+
| User | -----> | API Gateway | -----> | Microservice| -----> | Database |
+------------+ +--------------+ +-------------+ +--------------+
| |
Cognito Auth Redis Cache
2. AWS Deployment Strategy for Microservices
A well-structured deployment strategy ensures high availability, zero-downtime, and rollback capabilities.
Deployment Steps
✅ Step 1: Infrastructure Setup
- Use AWS CloudFormation / Terraform to provision:
- VPC (Private & Public subnets for security)
- Amazon ECS/EKS for containerized microservices
- Amazon RDS & DynamoDB for data storage
- API Gateway for managing API traffic
✅ Step 2: Code Integration & Build
- Developers push code to GitHub/GitLab
- AWS CodePipeline triggers:
- AWS CodeBuild compiles and tests the code
- AWS CodeDeploy deploys to ECS/EKS
✅ Step 3: Blue-Green Deployment (Zero Downtime)
- New version of the service is deployed in parallel with the existing version
- Traffic switch happens only when new version is fully tested
✅ Step 4: Monitoring & Rollback
- Amazon CloudWatch & X-Ray monitor performance
- If issues are detected, rollback to the previous version using AWS Lambda triggers
3. Deployment Strategy Summary
| Feature | Strategy Used |
|---|---|
| Infrastructure as Code | AWS CloudFormation / Terraform |
| CI/CD | AWS CodePipeline, CodeBuild, CodeDeploy |
| Container Orchestration | Amazon ECS (Fargate) / EKS (Kubernetes) |
| Scaling | Auto Scaling Groups (ECS/EKS) |
| Security | IAM Roles, Cognito, API Gateway WAF |
| Deployment Method | Blue-Green Deployment |
| Monitoring | CloudWatch, AWS X-Ray, GuardDuty |
Final Thoughts
🚀 This AWS Enterprise Microservices Architecture ensures:
- Scalability → Auto-scaling microservices on ECS/EKS
- Resilience → Multi-AZ RDS, DynamoDB with backup & caching
- Security → IAM-based authentication, Cognito, and API Gateway policies
- Efficiency → Optimized deployments using CI/CD and Blue-Green strategies
Tech Group 