Migrating a Monolithic E-Commerce Platform to Kubernetes on AWS EKS
Project Background
A growing e-commerce company with over 50,000 daily active users was running a monolithic Node.js application on a fleet of manually provisioned EC2 instances. Scaling was painful — each peak sale event required hours of manual intervention and the infrastructure bill was climbing 20% month-over-month.
The Challenge
The client needed a migration path that would eliminate downtime during their busiest trading windows, reduce cloud spend, and give their development team the ability to ship features independently without co-ordinating deployments. The existing monolith had no automated tests and no containerisation experience in-house.
What We Delivered
- Containerised the application incrementally using Docker with multi-stage builds, reducing image sizes by 60%
- Provisioned a production-grade AWS EKS cluster using Terraform with separate node groups for web, API, and background workers
- Implemented blue-green deployments via Argo CD, enabling zero-downtime releases
- Configured Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler to handle traffic spikes automatically
- Set up a staging namespace mirroring production, allowing the team to test at scale before every release
- Migrated the database layer to Amazon RDS Multi-AZ with automated read replica failover
Technical Stack
Container Orchestration: AWS EKS 1.29 · IaC: Terraform · GitOps: Argo CD · Service Mesh: AWS App Mesh · Observability: Prometheus + Grafana · Database: Amazon RDS Aurora PostgreSQL
Outcomes
Within 90 days of go-live the client reduced their monthly AWS bill by 70%, eliminated all unplanned downtime, and cut their average deployment time from 4 hours to under 8 minutes. The development team went from shipping once a week to multiple times per day.
