Fix Phoenix LiveView race conditions causing payment failures. Implementation guide for event versioning, multi-user coordination, and preventing duplicate transactions in high-throughput Erlang systems.

The velocity of modern payment systems has created an unforgiving paradox: the faster you process transactions, the faster fraud can scale. When you're handling thousands of payments per second across distributed infrastructure, traditional batch fraud detection becomes a liability. By the time you discover fraudulent activity in a daily review, attackers have already extracted value and moved on. For enterprises running high-throughput fintech platforms, especially those bui

Failed payments cost businesses and consumers over half a trillion dollars every year. This article breaks down the real causes, from backend overloads to false declines, and explains how internal and external system failures create massive losses, customer churn, and operational chaos.

PSD2 authentication for Elixir/Erlang systems. Production code for passkeys, 3DS2, biometrics, dynamic linking. Optimized for high-throughput distributed payment systems.

Advanced payment orchestration implementation: microservices patterns, intelligent routing algorithms, performance optimization techniques, and production architecture for 10M+ transactions/month.

A Payment Orchestration Engine (POE) architecture  is a centralized and intelligent platform that serves as an intermediary layer between merchant applications and multiple payment service providers (PSPs), gateways, and acquirers. Its primary role is to simplify and optimize payment processing by managing all integrations through a single point of connection. The architecture uses rules-based logic  and dynamic routing  to direct transactions to the most suitable provider ba