Fintech Core: Strangling the Monolith for 99.99% Uptime
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FintechDedicated Team

Fintech Core: Strangling the Monolith for 99.99% Uptime

A dedicated squad re-architecting a payment gateway while it handles $2B volume.

300%
Throughput
Capacity increased to 150 TPS
99.99%
Uptime
Zero downtime in peak season
Daily
Deployments
From bi-weekly to on-demand

The Challenge

N.P Solutions faced a classic innovator's dilemma. Their 8-year-old Java monolith processed $2B annually but was fragile. A simple change in the Notification module could crash the Payment Engine. During Black Friday, database deadlocks caused a 3-hour outage. They needed to modernize without pausing business - changing the engine of a jet in mid-flight.

Monolithic coupling causing cascading failures.
Database locks limiting throughput to 50 TPS.
Fear-driven development: 2-week testing cycles.

The Solution

GTEMAS deployed a 'Monolith Strangler' squad (1 Architect, 3 Seniors, 1 QA). We utilized the Strangler Fig pattern. Phase 1 - Decoupling: We introduced Kafka as an event bus. Instead of direct function calls, services published events. Phase 2 - Extraction: We peeled off non-critical domains (Notifications, KYC) first, then tackled the Ledger. Phase 3 - Polyglot Persistence: We moved from a single Oracle DB to purpose-built stores: Aurora for transactions, Elastic for search, Redis for sessions.

Architectural Strategy

Shared-nothing microservices on EKS. API Gateway (Kong) routed traffic between legacy and new services seamlessly.

Impact & Achievements

The stability restored merchant confidence. The decoupled architecture allowed the launch of a 'Buy Now Pay Later' feature in just 4 weeks, a competitive necessity that was impossible on the old stack.

300%
Throughput

Capacity increased to 150 TPS

99.99%
Uptime

Zero downtime in peak season

Daily
Deployments

From bi-weekly to on-demand

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