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/day

900%

Deployment Time

5 min

89%

Uptime

99.99%

0.09%

Feature Velocity

3x faster

200%

"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

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 Modernization
Architecture Design
DevOps Transformation

Discuss Your Project