E-Commerce Platform Modernization
Complete migration from monolithic architecture to microservices and serverless, achieving 10x scalability and 60% cost reduction.
Scalability
Infra Cost
Release Speed
Delivery Context And Business Outcome
Scalability
Cost Reduction
Uptime
Client Industry, Timeline, Team, Stack, And Result
Client Industry
Enterprise technology
Project Timeline
12 weeks
Team Size
6 specialists
Tech Stack
Modern web stack
Headline Result
Complete migration from monolithic architecture to microservices and serverless, achieving 10x scalability and 60% cost reduction.
Problem Statement, Baseline, And Success Criteria
Clear pre-project constraints and measurable targets establish how outcomes are evaluated.
Problem Statement
The application was tightly coupled and difficult to scale reliably.
Goals And Success Criteria
Where Performance Started Before Delivery
Scalability (Before)
Infra Cost (Before)
Release Speed (Before)
What The Engagement Needed To Deliver
A comprehensive modernization of a legacy e-commerce platform using microservices architecture and serverless computing.
Microservices architecture diagram
Discovery To Optimization With Duration
Discovery
1-2 weeksStakeholder interviews, baseline audit, and scope alignment.
Design
1-2 weeksUX flows, technical architecture, and sprint planning.
Build
4-8 weeksIncremental feature delivery, integrations, and instrumentation.
QA
1-2 weeksFunctional testing, performance validation, and accessibility checks.
Launch
3-5 daysControlled release, production validation, and monitoring.
Optimization
2-4 weeksPost-launch iteration based on telemetry and user feedback.
How The Product Direction Was Resolved
Monolithic Constraints
The application was tightly coupled and difficult to scale reliably.
High Infrastructure Costs
The existing setup remained expensive while still delivering inconsistent performance.
Slow Deployment Cycles
Releases introduced longer cycles and downtime during updates.
Feature Integration Complexity
New capabilities and third-party services were harder to add quickly.
Decomposed the monolith into 15+ microservices
Implemented serverless functions for event-driven processing
Created CI/CD pipelines with automated testing and deployment
Improved monitoring and observability
Why This Approach Was Chosen
Decomposed The Monolith Into 15+ Microservices
Tradeoff: Monolithic Constraints
Rationale: Selected for long-term scalability, maintainability, and stronger business outcomes.
Implemented Serverless Functions For Event-Driven Processing
Tradeoff: High Infrastructure Costs
Rationale: Selected for long-term scalability, maintainability, and stronger business outcomes.
Created CI/CD Pipelines With Automated Testing And Deployment
Tradeoff: Slow Deployment Cycles
Rationale: Selected for long-term scalability, maintainability, and stronger business outcomes.
Capabilities Delivered Across The Platform
Microservices Architecture
Serverless Computing
DEVOPS & CI/CD
Data & Analytics
Before And After Comparison With Hard Numbers
| Metric | Before | After | Delta |
|---|---|---|---|
| Scalability | 100 index | 1000 index | 10x |
| Infra Cost | 100 index | 40 index | -60% |
| Release Speed | 100 index | 5000 index | 50x faster |
Technical Outcomes After Launch
Lighthouse Performance
Core Web Vitals
Accessibility Score
Architecture Results After The Migration
Scalability Improvement
Cost Reduction
Uptime Achieved
Performance Metrics
Business Impact
Continuous Improvement Opportunities
Expand A/B testing coverage for high-traffic user journeys.
Add deeper event-level analytics for conversion funnels.
Extend automation around regression and accessibility audits.
Next Step
Ready To Modernize Your Architecture?
Let’s discuss how microservices and serverless can transform your applications.
Conversion Actions