B2B SaaS Case Study

Enterprise Analytics Platform

Rebuilt legacy analytics dashboard with modern tech stack. Scaled from 10k to 50k concurrent users without infrastructure changes.

12 weeks Delivery Time
4x Performance Boost
50k Concurrent Users
$2M ARR Year One

Legacy System at Breaking Point

Performance Bottlenecks

Legacy dashboard built on outdated tech stack couldn't handle 10,000+ concurrent users. Page load times exceeded 15 seconds during peak hours.

Scalability Limitations

Monolithic architecture made it impossible to scale horizontally. Database queries were inefficient and blocked the main thread.

Poor User Experience

Real-time data updates were delayed by minutes. Charts and visualizations were slow to render and non-responsive on mobile devices.

Technical Debt

5-year-old codebase with no test coverage. Adding new features required weeks of regression testing and frequent production bugs.

Modern Architecture for Scale

Next.js Frontend

Server-side rendering with incremental static regeneration for optimal performance.

  • React with TypeScript for type safety
  • SSR for initial page loads (<2s)
  • Client-side navigation for instant transitions
  • Real-time data streaming with WebSockets

GraphQL API Layer

Efficient data fetching with Redis caching for frequently accessed queries.

  • Apollo Server with custom resolvers
  • Redis caching (90% cache hit rate)
  • DataLoader for batch requests
  • Real-time subscriptions for live updates

Kubernetes on AWS

Auto-scaling infrastructure that handles traffic spikes without manual intervention.

  • ECS with Fargate for serverless containers
  • Horizontal pod autoscaling
  • Application Load Balancer with health checks
  • RDS PostgreSQL with read replicas

Tech Stack

Frontend
Next.js 13
React 18
TypeScript
Tailwind CSS
API Layer
GraphQL
Apollo Server
Redis Cache
Backend
Node.js
PostgreSQL
Prisma ORM
Infrastructure
AWS ECS
Kubernetes
CloudFront CDN
Monitoring
Grafana
Prometheus
Datadog

Performance Metrics

4x Performance Improvement

Page load times reduced from 15s to <2s. Real-time data updates now happen in milliseconds instead of minutes.

Scaled to 50k Users

Auto-scaling infrastructure handled 5x user growth without any infrastructure changes or performance degradation.

99.98% Uptime

Zero critical bugs in first 6 months. Comprehensive monitoring and automated incident response.

$2M ARR in Year One

Improved user experience led to 40% increase in user retention and 2x conversion rate on enterprise plans.

Client Testimonial

"Wedigma delivered our analytics platform in 12 weeks—on time, on budget, and ready to scale to 50k users. Their technical depth is unmatched. We went from a legacy system that was holding us back to a modern platform that enables our growth strategy."

— CTO, Enterprise SaaS Startup

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