OVERVIEW

Client Goals

Compress Migration Timeline

Add 25 cloud-specialized engineers to ensure completion before the holiday sales peak.

Fill AWS & Kubernetes Gaps

Bridge critical skill gaps the internal 12-person team lacked for cloud-native re-architecture.

Avoid $2.5M+ in Hiring Costs

Eliminate permanent hiring costs for specialized cloud engineers not needed at full capacity post-migration.

Zero-Downtime Migration

Maintain 99.99% availability throughout the entire transition period for the $50M e-commerce platform.

Complete Knowledge Transfer

Ensure the internal team can independently manage AWS infrastructure post-engagement.

Microservices Decomposition

Break down a 500K+ line Java monolith into 35+ cloud-native microservices with zero data loss.

Technology Alignment

CLOUD PLATFORM

AWS (EKS, EC2, RDS Aurora, ElastiCache, S3, CloudFront)

CONTAINERIZATION

Docker, Kubernetes (EKS), Helm charts, Istio service mesh

INFRASTRUCTURE AS CODE

Terraform modules, AWS CDK, Ansible

CI/CD & DEVOPS

GitHub Actions, ArgoCD, Spinnaker

APPLICATION STACK

Java (Spring Boot), Node.js, React.js, Next.js

MONITORING & OBSERVABILITY

Datadog, Prometheus, Grafana, PagerDuty, ELK Stack

CHALLENGE

Skills Shortage Threatening a Business-Critical Migration

Zero Kubernetes Experience

Internal team had no Kubernetes expertise and limited AWS knowledge — 80% of migration tasks required cloud-native skills.

Massive Technical Debt

Legacy platform was a 500K+ line Java monolith with 8 years of technical debt requiring decomposition into 35+ microservices.

$8M+ Holiday Deadline

Missing the November holiday deadline would cost $8M+ in lost sales from performance issues on the legacy platform during peak traffic.

Massive Data Migration

12M+ customer records and 5M+ product SKUs needed migration with zero data loss and minimal service interruption.

SOLUTION

Strategic Approach

AWS-CERTIFIED TALENT

25 engineers with AWS Solutions Architect and DevOps Professional certifications, sourced within 3 weeks.

PARALLEL WORKSTREAMS

5 specialized pods (Infrastructure, Microservices, Data Migration, DevOps, Performance) running parallel sprints.

STRANGLER FIG PATTERN

Incrementally replacing monolith components with microservices while keeping the legacy system operational.

AUTOMATED TESTING

Regression, load, and chaos engineering test suites validating each migrated service before cutover.

KNOWLEDGE TRANSFER

12-week program with weekly workshops, pair programming rotations, and documentation sprints.

PHASED RAMP-DOWN

Gradual reduction from 25 to 10 to 0 engineers over 4 months, ensuring stability during handoff.

CONCLUSION

Results Achieved

25 Engineers in 3 Weeks

Integrated into existing Agile workflows and productive by end of Week 2.

6 Months Ahead of Schedule

Full migration completed in 18 months vs. the original 24-month plan.

$2.1M Cost Avoided

Flexible ramp-down eliminated post-migration overhead compared to permanent hiring.

60% Faster Page Loads

New architecture contributed to a 15% increase in holiday conversion rates.

Zero-Downtime Cutover

All 35 microservices migrated with 12M+ customer records at 100% data integrity.

Full Knowledge Transfer

Internal team independently managing AWS infrastructure within 90 days of engagement end.