Payment systems require idempotency, audit trails, and strict regulatory compliance. These articles cover UPI integration with NPCI, idempotent payment processing patterns, Kafka-based settlement pipelines, and the engineering controls needed to handle financial transactions reliably at scale.
4 posts tagged with payments. ← All posts
The transaction engine had to absorb 30K+ TPS across partner integrations, never lose a transaction, and survive partial failures. The architecture: Go, Kafka, Pub/Sub, Redis, K8s, with idempotency at every layer.
A single layer of idempotency will eventually fail. Three independent layers gives you a margin. Here is the pattern that worked across ingest, worker, and emit boundaries.
UPI, IMPS, NEFT, RTGS — which rail depends on amount, urgency, and success history. A deterministic chooser with a HITL gate for high-value transactions.
UPI is the most popular payment rail in India. The spec is precise. The implementation guides are not. Notes on the integration details that ate weeks the first time.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.