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E-commerceE-commerce Platform

Migrating a Monolith to Microservices

A legacy e-commerce platform processing $50M+ annual GMV needed to scale. We decomposed their monolith into 12 microservices, implemented event-driven architecture with Kafka, and deployed on Kubernetes.

3x throughput improvement
From 500 to 1,500 requests/sec with auto-scaling
40% reduction in deployment time
CI/CD pipelines cut releases from 2 hours to 45 minutes
99.95% uptime achieved
Circuit breakers and health checks reduced incidents by 80%
$120K annual cost savings
Right-sized infrastructure with auto-scaling vs. over-provisioned monolith

The Challenge

The client's monolithic Rails application was hitting scaling limits. Deployments took 2+ hours with downtime, and the codebase had become unmaintainable. They needed to scale to handle 3x traffic during peak seasons without rewriting everything.

Constraints

  • •Zero-downtime migration (business operates 24/7)
  • •Must maintain backward compatibility with mobile apps
  • •Budget cap at $250K
  • •6-month deadline for Black Friday readiness

The Solution

We designed a phased migration strategy, starting with the most performance-critical services (catalog, checkout). Built a service mesh with Istio for traffic management, implemented Kafka for async communication, and deployed on AWS EKS with auto-scaling.

Architecture Highlights

→12 microservices (Node.js/TypeScript, Python)
→Kafka for event streaming and async processing
→PostgreSQL + Redis for data storage
→Kubernetes (EKS) with Istio service mesh
→CI/CD with GitHub Actions, ArgoCD for GitOps
→Observability: Prometheus, Grafana, Jaeger

Tech Stack

TypeScriptNode.jsPythonKafkaPostgreSQLRedisKubernetesAWSIstioArgoCD

Timeline

5 months from kickoff to full production cutover

"RMSP Tech Solutions gave us a roadmap, stuck to it, and delivered. Our engineers love the new architecture, and we handled Black Friday with zero incidents."
Sarah Chen
VP Engineering

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