AWS
+
C

From Monolith to Microservices

I designed this co-sell motion to show how Cursor's agent supercharges AWS modernization, automating the decomposition from monolith to production-ready microservices and infrastructure code.

Cursor maximizes ROI from AWS investments by automating the hardest part of cloud migration. Scalable across any AWS enterprise customer.

Scroll to experience the workflow

Act 1

The Legacy Monolith

A single, tightly-coupled application handles everything. Every module lives in one deployable unit, making scaling and independent releases impossible.

Monolith Application
Auth
Payments
Orders
Inventory
Notifications
Shared DatabaseSingle Deploy TargetCoupled Dependencies

High

Deployment Risk

One change redeploys everything

Vertical Only

Scaling

Cannot scale modules independently

Slowing

Team Velocity

Teams blocked by shared codebase

Act 2

Cursor Analyzes Service Boundaries

Cursor scans the entire monolith, maps cross-module dependencies, and identifies optimal service boundaries for extraction.

Scanning codebase

312 files analyzed across 5 modules

Mapping dependencies

26 cross-module interfaces found

Identifying boundaries

Service boundaries detected

Extraction plan ready

4-phase migration recommended

Cursor AI Analysis
Act 3

Decomposition in Action

Cursor extracts each module into an independent microservice with its own data store, API contracts, and AWS deployment target.

GW

Amazon API Gateway

Routes traffic to individual services

api.example.com

Auth Service

Amazon Cognito + ECS

23 files extracted

Payment Service

ECS Fargate + RDS

41 files extracted

Order Service

ECS Fargate + DynamoDB

38 files extracted

Inventory Service

ECS Fargate + RDS

29 files extracted

Notification Service

Lambda + SQS + SES

18 files extracted

Service Communication Map

Auth Service
Order ServiceJWT validation
Auth Service
Payment ServiceToken verify
Order Service
Payment ServiceREST API
Order Service
Inventory ServicegRPC
Order Service
Notification ServiceSQS events
Act 4

Infrastructure as Code, Generated

Cursor generates production-ready Terraform for ECS tasks, API Gateway routes, RDS instances, and all supporting infrastructure.

Cursor AI - Terraform Generation
order-service.tf
+resource "aws_ecs_service" "order_service" {
+ name = "order-service"
+ cluster = aws_ecs_cluster.main.id
+ task_definition = aws_ecs_task_definition.order.arn
+ desired_count = 3
+
+ load_balancer {
+ target_group_arn = aws_lb_target_group.order.arn
+ container_name = "order-service"
+ container_port = 8080
+ }
+
+ network_configuration {
+ subnets = var.private_subnets
+ security_groups = [aws_security_group.ecs.id]
+ }
+}
Targeting AWS us-east-1 region
Act 5

Better Together

AWS
C

Intelligent Decomposition

Cursor analyzes the full codebase to identify clean service boundaries, minimizing cross-service coupling and data dependencies.

Production-Ready Infrastructure

Generated Terraform and CDK code follows AWS best practices with proper security groups, IAM roles, and multi-AZ deployments.

Accelerated Migration

What traditionally takes quarters of engineering work is reduced to weeks with AI-assisted code extraction and infrastructure generation.

0

Lines Refactored

0

Services Extracted

0

Terraform Resources

0

Weeks Saved

0%

Faster Migration Timeline

When AWS infrastructure expertise meets AI-powered code refactoring, enterprise modernization projects that once took quarters now complete in weeks.