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Navacarah
Case Study 02
Redesigned core platform architecture to improve transaction throughput, increase observability, and establish reliability under sustained financial workloads.
Industry
Fintech
Scale
5M+ Transactions / Day
Engagement
12 Weeks
Focus
Performance & Reliability
Primary Outcome
94% Latency Reduction
The platform processed high-volume financial transactions across multiple products. Rapid growth had introduced contention within the backend architecture, creating operational complexity and increasing performance variability.
The organization required a more durable system capable of supporting future transaction growth.
The existing backend relied heavily on synchronous processing and tightly coupled service dependencies.
Key constraints included:
Before — Before — Monolithic Architecture
After — After — Modular, Observable Architecture
We decomposed the backend into domain-driven services, optimized data access patterns, implemented event-driven workflows, and established comprehensive observability across all critical paths.
Technology Stack
Timeline
The new backend architecture significantly increased transaction handling capacity while reducing operational complexity.
The platform gained improved reliability, visibility, and confidence under peak transaction loads.
| Metric | Before | After | Improvement |
|---|---|---|---|
| P95 API Latency | 1,200ms | 70ms | 94% reduction |
| Daily Transactions | 1.2M | 5M+ | 4× increase |
| Incident Resolution | 4.5 hrs | 35 mins | 87% faster |
| Platform Availability | 99.2% | 99.95% | +0.75% |
| Database CPU (peak) | 85% | 32% | 62% reduction |
Results are illustrative of the engagement and reflect measured improvements observed post-implementation.
94% reduction
P95 API Latency
4× increase
Daily Transactions
87% faster
Incident Resolution
+0.75%
Platform Availability
