Executive Summary
- Migrated self-hosted Medusa.js from DigitalOcean to AWS
- Designed a closed VPC with private subnets and strict security boundaries
- Implemented full Infrastructure as Code using Terraform
- Built automated CI/CD pipelines (GitHub Actions + AWS CodePipeline)
- Deployed structured monitoring and alerting with CloudWatch
- Delivered production-ready infrastructure within 2 months
1. Initial State: Manually Managed DigitalOcean Deployment
The client was running Medusa.js in a self-hosted DigitalOcean environment based on manually provisioned droplets.
Key Limitations
- Manual SSH-based deployments
- No environment isolation (limited network segmentation)
- No formal Infrastructure as Code
- Inconsistent configuration across environments
- Limited observability and alerting
- Operational risk due to human-dependent processes
While functional, the architecture lacked the security posture, automation, and scalability required for long-term growth. For an enterprise e-commerce system, this created unacceptable risk.
2. Migration Objectives
The goal was not just to "move to AWS". It was to design a secure, reproducible, enterprise-grade Medusa.js infrastructure.
Core Objectives
- Eliminate manual infrastructure management
- Implement a closed AWS VPC architecture
- Introduce automated CI/CD pipelines
- Enforce least-privilege IAM access
- Implement production-grade monitoring
- Enable predictable scaling
- Reduce operational risk
3. Target Architecture: Secure AWS VPC Design
We redesigned the infrastructure around AWS best practices for high-availability commerce systems.
Network Architecture
- Dedicated AWS VPC
- Public subnets for ALB only
- Private subnets for application services
- Isolated database subnets
- NAT Gateway for controlled outbound traffic
- Strict security groups enforcing least privilege
No direct public access to application or database layers.
Application Layer
Medusa.js backend deployed using containerized workloads:
- Dockerized Medusa.js services
- Deployment via ECS (Fargate-based architecture)
- Immutable container releases
- Versioned task definitions for safe rollbacks
Data Layer
- PostgreSQL migrated to Amazon RDS (Multi-AZ)
- Redis deployed via Amazon ElastiCache
- Automated backups and failover
- Encrypted storage and in-transit encryption
4. Infrastructure as Code: Terraform-Based Foundation
A key differentiator of this Medusa.js AWS migration was the creation of a reusable Terraform module.
Benefits
- 100% reproducible infrastructure
- Environment parity (staging/production)
- Version-controlled infrastructure changes
- Predictable, reviewable deployments
- Reduced configuration drift
From day one, infrastructure became declarative rather than manual.
5. CI/CD: Eliminating Manual Deployments
Manual SSH deployments were replaced with a structured pipeline.
CI/CD Flow
- GitHub Actions builds Docker images
- Images pushed to Amazon ECR
- CodePipeline triggers ECS deployment
- Rolling updates ensure zero downtime
- Previous task revisions enable instant rollback
Impact
- Deployment time reduced dramatically
- Zero manual production access required
- Lower human error risk
- Full auditability of releases
This transformed Medusa.js into a continuously deployable system.
6. Observability & Reliability
Production e-commerce requires proactive monitoring.
We implemented
- Structured application logging to CloudWatch
- Infrastructure metrics (CPU, memory, network)
- Custom alarms for 5xx error rates
- Health checks integrated with Application Load Balancer
- Alerting via SNS notifications
- Defined log retention policies
Issues are now detected before they become outages.
7. Security Improvements
The migration significantly improved the platform's security posture.
Before
- Publicly exposed infrastructure
- Broad access patterns
- Manual operational workflows
After
- Closed VPC with strict subnet isolation
- Least-privilege IAM roles
- No public database exposure
- Encrypted storage and communication
- No SSH-based deployment process
The blast radius of potential incidents was dramatically reduced.
8. Measurable Outcomes
Within two months, we delivered:
- Fully automated Medusa.js AWS infrastructure
- 100% Infrastructure as Code coverage
- Elimination of manual deployment workflows
- Production isolation via private subnets
- Improved reliability through structured monitoring
- Enterprise-grade security controls
The platform is now stable, scalable, and audit-ready.
9. Ongoing DevOps Retainer
After migration, we continued supporting the system under a DevOps-as-a-Service model.
This includes
- Continuous infrastructure optimization
- Cost monitoring
- Performance tuning
- Security patching
- Incident response
- Scaling strategy advisory
Enterprise e-commerce is not static - infrastructure must evolve alongside growth.
