Enterprise SaaS Client Project
Kodmonk architected, developed, and deployed the full end-to-end multi-tenant SaaS platform.
Pod Scope: Dedicated 8-person engineering pod across Backend, Frontend, DevOps, and QA.
Designed capacityHigh-Scale Multi-Tenant SaaS Assessment Platform
Engineered a scalable multi-tenant SaaS ecosystem supporting 50K+ concurrent users and delivering over 1,000,000 automated sessions monthly.
Context
Client required a modern multi-tenant EdTech SaaS platform capable of handling peak examination windows, live candidate proctoring, question bank management, and real-time evaluation.
Challenge
Sustain high availability, low latency, and zero data-loss during massive simultaneous user spikes while maintaining strict multi-tenant isolation.
Kodmonk Approach
- 01
Designed microservices architecture powered by Node.js, Next.js, and Laravel APIs.
- 02
Implemented distributed caching with Redis and async queue pipelines with RabbitMQ.
- 03
Configured autoscaling Kubernetes clusters with automated health probes and cloud load balancing.
- 04
Established OWASP security controls and automated VAPT compliance pipelines.
Outcomes
- Platform scaled seamlessly to handle 50,000+ concurrent live users.
- Over 1,000,000 monthly assessments processed with 99.99% uptime.
- Reduced infrastructure cost by 35% through efficient resource scheduling.
System Architecture
01Next.js Candidate & Admin Dashboard
02Node.js & GraphQL Microservices
03Redis Caching & RabbitMQ Queues
04Kubernetes & Multi-Region PostgreSQL
Constraints
- Zero downtime during live exam windows
- Strict data isolation between tenants
- Sub-100ms API response latency under load
Trade-offs
- Microservices over monolith for independent scaling
- Asynchronous processing for high-cost valuation logic