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Apex Pay Global Solutions
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Financial Technology & Digital Payments
Scaling a FinTech Core Engine to 50k TPS with Zero Latency Overhead
50,000+
Transactions Per Second
88%
Latency Reduction
99.999%
Platform Uptime
$150M+
Daily Volume Scaled
The Challenge
Apex Pay was facing severe database lock contention, 400ms+ API latency spikes during market peak hours, and sporadic dropped webhook notifications as their daily payment volume surged to $150M. Their monolithic architecture was bottlenecked by legacy relational query patterns and non-isolated ledger locking.
The Solution
Yash Kumar Jha and the New Age Technology architecture team re-engineered their transactional backbone into an event-driven microservice topology. We implemented an asynchronous Kafka ingestion pipeline, isolated double-entry ledger accounting using PostgreSQL row-level locks with strict isolation, and deployed PgBouncer connection pooling alongside Redis distributed locks.
The entire cluster was automated on Kubernetes with self-healing auto-scaling pods, cutting latency down to under 18 milliseconds.
The entire cluster was automated on Kubernetes with self-healing auto-scaling pods, cutting latency down to under 18 milliseconds.
The Results & Business Impact
- Increased transaction throughput from 2,500 TPS to over 50,000 TPS.
- Reduced 99th percentile API latency by 88% (from 420ms to 18ms).
- Achieved 100% data consistency with zero lost payment transactions during high-volume surges.
- Maintained 99.999% uptime across all regional payment gateways over 18 consecutive months.
Technologies Deployed
PHP 8.x
PostgreSQL 16
Apache Kafka
Redis Cluster
Kubernetes
Docker
PgBouncer
Grafana
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