Legacy Platform Modernization
Rebuilt a 10-year-old data integration platform while maintaining 99.9% uptime for enterprise customers.
The Challenge
Our client's monolithic Ruby application was limiting growth. They needed to modernize without disrupting service for 200+ enterprise customers processing 1B+ records daily.
- •10-year-old monolithic codebase
- •Unable to scale beyond 1B records/day
- •45-minute deployment process
- •Growing technical debt blocking features
Our Approach
We executed a gradual migration strategy, moving to microservices while maintaining full backward compatibility.
Analysis & Planning (Month 1)
- ✓Codebase audit
- ✓Architecture design
- ✓Migration roadmap
Core Services (Months 2-6)
- ✓Extract critical services
- ✓Build new data pipeline
- ✓Implement service mesh
Migration & Optimization (Months 7-9)
- ✓Gradual customer migration
- ✓Performance tuning
- ✓Team knowledge transfer
The Results
The platform now processes 10B+ records daily with 5-minute deployments and 99.99% uptime.
Processing Capacity
10B/day900%
Deployment Time
5 min89%
Uptime
99.99%0.09%
Feature Velocity
3x faster200%
"Drexus managed the impossible—rebuilding our plane while flying it. Zero downtime, zero data loss, and our customers actually noticed the performance improvements."
Technology Stack
frontend
React
TypeScript
Material-UI
backend
Go
Python
PostgreSQL
Kafka
infrastructure
Kubernetes
Istio
Prometheus
data
Apache Beam
BigQuery
Redis
Key Outcomes
✓10x increase in processing capacity
✓Reduced deployment time by 89%
✓Achieved 99.99% uptime SLA
✓Enabled 3x faster feature delivery
Project Details
- Industry
- B2B SaaS
- Timeline
- 9 months
- Team Size
- 5-8 engineers
- Services
- Platform ModernizationArchitecture DesignDevOps Transformation