Confidential Computing Summit 2026

Real-time payment systems are transforming the global financial ecosystem, with 69 countries implementing real-time networks and transaction volumes continuing to grow. As expectations shift toward instant transactions, infrastructures must support high throughput while maintaining reliability, data integrity, and stronger data protection during processing.

This session explores how modern distributed architectures enable scalable and resilient payment systems while aligning with confidential computing principles. It examines key concepts like the CAP theorem and trade-offs between consistency, availability, and partition tolerance in financial platforms handling sensitive data.

It also covers architectures such as microservices, event-driven systems, CQRS, and serverless computing, along with techniques like distributed caching, database sharding, and dynamic load balancing. Attendees will gain practical insights into building fault-tolerant, scalable payment systems for real-time digital transactions.