Skip to main content
Qeltrava AI LogoQeltrava AI
Financial ServicesIllustrative Client Case

Migrating a legacy monolithic core to a scalable microservices architecture with zero downtime.

Client: Global Fintech Provider (Anonymized)
KubernetesGo MicroservicesTerraformPostgreSQL

The Challenge

A high-growth fintech provider was experiencing critical system bottlenecks during peak trading hours. Their legacy monolithic architecture, built 8 years prior, could not scale dynamically, resulting in high infrastructure costs and unacceptably high latency during market volatility.

System Architecture Diagram (Illustrative)
01
Diagnose
Audit & Architecture
02
Build
Agile Engineering Pods
03
Deploy
Cloud & Security Setup
04
Optimize
Long-term Retainer

Our Engineering Approach

Qeltrava AI deployed a specialized squad of Cloud and DevOps architects. We designed a transition roadmap to a Kubernetes-orchestrated microservices architecture. Using our Qeltrava Delivery OS, we implemented Infrastructure as Code (IaC) and established a parallel blue-green deployment strategy to ensure zero downtime during the migration.

The Measurable Outcome

Reduced core transaction latency by 45% Saved 30% in monthly compute costs Enabled multi-deployments daily with zero downtime

Impact Metrics

Illustrative Data
450
240
Latency (ms)
120
84
Monthly Compute ($K)
Before Qeltrava
After Implementation
* Metrics represent illustrative outcomes observed under typical scale.

Ready to achieve similar results?

Speak directly with our senior engineering team.

Book an AI Strategy Call →
Book Call