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Explore: Velocity Apex Catalyst Sentinel
rocket_launch CASE STUDY // FINTECH

PROJECT VELOCITY: MONOLITH-TO-MICROSERVICES DECOUPLING

Re-architecting a legacy high-volume financial engine for zero-downtime scalability and sub-millisecond perceived latency.

DEPLOYMENT SQUAD
  • Emily Chen portrait
    Emily Chen
    Lead Architect
  • Rajesh Kumar portrait
    Rajesh Kumar
    Backend Eng
  • Priya Sharma portrait
    Priya Sharma
    DevOps
PRE-MIGRATION STATE
timer
4s Page Loads
trending_down
30% Drop-off
gpp_bad
Downtime Req.
POST-MIGRATION IMPACT
0ms
Perceived Latency

ARCHITECTURE & EXECUTION

STRANGLER FIG MIGRATION account_tree

Zero-Downtime Transition

We implemented a Strangler Fig pattern to systematically decouple the monolithic legacy system. By routing traffic intelligently at the edge, new microservices slowly replaced legacy endpoints without end-user disruption.

public EDGE ROUTING
Next.js (Vercel)
Legacy PHP
THE STACK
web
Frontend
Next.js
memory
Services
Node.js on K8s
storage
Caching
Redis Replicas
COST EFFICIENCY

Optimized resource allocation via K8s leading to significant infrastructure savings.

22%
AWS Cost Reduction

400% SURGE HANDLING

By aggressively caching read-heavy endpoints with Redis and horizontally scaling Node.js containers on Kubernetes, the system effortlessly absorbed Black Friday traffic spikes without a single dropped transaction.

k8s-hpa-config.yaml 
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: core-tx-service
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: core-tx-service
  minReplicas: 3
  maxReplicas: 50
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70