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Navacarah
Case Study 01
Re-architected a rapidly growing SaaS platform to support multi-region deployment, improve resilience, and establish a foundation for predictable global scale.
Industry
SaaS
Scale
100,000+ Users
Engagement
14 Weeks
Focus
Scalability & Resilience
Primary Outcome
6.6× Capacity Increase
A growing SaaS provider was expanding into multiple geographic markets. The platform had achieved strong adoption but remained architected around a single-region deployment model originally designed for early-stage growth.
As customer demand increased, architectural limitations began constraining scalability, operational flexibility, and long-term reliability.
The existing system concentrated all traffic, services, and data infrastructure within a single AWS region.
Key challenges included:
The organization required a scalable foundation capable of supporting continued expansion without repeated architectural rework.
Before — Before — Single Region Architecture
After — After — Multi-region Architecture
The monolith was decomposed into domain-aligned services, infrastructure-as-code was introduced for repeatable multi-region deployments, and automated CI/CD pipelines were established. Observability was extended with centralized logging and distributed tracing across all critical services.
Technology Stack
Timeline
The platform transitioned from a region-bound architecture to a globally distributed system capable of supporting continued growth with improved resilience and operational predictability.
The new architecture reduced scaling friction, increased deployment confidence, and established clear foundations for future product expansion.
| Metric | Before | After | Improvement |
|---|---|---|---|
| Deployment Frequency | Weekly | Daily | 7× faster |
| Average Deployment Time | 45 min | 8 min | 82% reduction |
| Platform Availability | 99.5% | 99.95% | +0.45% |
| Peak Concurrent Users | 15,000 | 100,000+ | 6.6× increase |
| Recovery Objective (RTO) | 4 hours | <30 mins | 87% improvement |
| Infrastructure Provisioning | Manual | Automated (IaC) | Consistent & repeatable |
Results are illustrative of the engagement and reflect measured improvements observed post-implementation.
7× faster
Deployment Frequency
82% reduction
Average Deployment Time
+0.45%
Platform Availability
6.6× increase
Peak Concurrent Users
