• Published :July 01, 2019
  • Client :Radius Theme
  • Category :,
  • Website :https://github.com
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Project Details

Saptech Solution partnered with a leading FinTech firm to overhaul their legacy trading platform, suffering from:

  • 2.8-second API latency causing failed transactions

  • $18k/month wasted on underutilized cloud resources

  • Mobile app crashes for 12% of users during peak hours

Our mission: Rebuild for speed, stability, and scalability without business disruption.

Our Technical Optimization Process

Phase 1: Forensic Analysis (Week 1-2)
  • Conducted Lighthouse + WebPageTest audits (Score: 28/100 → 92/100)

  • Profiled slowest API endpoints using New Relic & Datadog

  • Mapped infrastructure hot spots with AWS X-Ray

Key Finding:

68% of latency came from unoptimized PostgreSQL queries with N+1 problems.

Phase 2: Surgical Optimization (Week 3-4)

Backend Revolution:

  • Replaced REST with GraphQL for efficient data fetching

  • Implemented database connection pooling (reduced idle connections by 80%)

  • Introduced asynchronous logging to cut I/O wait times

Infrastructure Overhaul:

  • Migrated to Kubernetes (EKS) with horizontal pod autoscaling

  • Configured Redis Cluster for session caching (hit rate: 99.2%)

Frontend Triage:

  • Switched from React Class → Functional Components + React.memo

  • Preloaded critical assets using <link rel=preload>

Phase 3: Validation & Rollout (Week 5-6)
  • A/B tested new infrastructure with 5% traffic before full cutover

  • Implemented Synthetic Monitoring with AWS CloudWatch Synthetics

  • Trained client’s team on performance debugging tools

How We Work

1. Metrics-First Approach

“We don’t optimize until we measure” – Every change tied to KPIs:

  • TTFB (Time to First Byte)

  • DB Query Execution Time

  • Error Rates

2. Zero-Downtime Deployments

  • Blue-green deployments via AWS CodeDeploy

  • Database migrations executed with Flyway

3. Cost-Performance Balance

  • Right-sized EC2 instances using AWS Compute Optimizer

  • Scheduled Spot Instances for batch processing

Why This Case Study Matters for You?

Whether you’re battling:
✔ Slow enterprise apps
✔ Spiraling cloud bills
✔ Unreliable scaling

Our 4-Step Framework works:

  1. Measure (Comprehensive profiling)

  2. Attack (Prioritize quick wins vs. deep fixes)

  3. Validate (Load test + canary deployments)

  4. Sustain (Monitoring + knowledge transfer)