Optimizing Financial Transactions in High-Traffic Scenarios

4min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

This chapter explores the efficiency of processing large volumes of financial transactions in real-time, particularly during high-traffic situations. It highlights the technical strategies for managing API calls, focusing on batching requests and leveraging a streamlined database for optimal throughput and reduced latency.

Online transaction processing, or OLTP, is designed for managing high volumes of short, fast, and concurrent transactions, such as data entry and retrieval operations. OLTP systems solve the problem of efficiently handling numerous simultaneous transactions, making them essential for sectors like banking and retail.

Joran Greef is the Founder and CEO of TigerBeetle, which is developing an open-source financial transactions database focused on mission critical safety and performance. He joins the podcast to talk about the TigerBeetle’s technology and problems it solves.

Gregor Vand is a security-focused technologist, and is the founder and CTO of Mailpass. Previously, Gregor was a CTO across cybersecurity, cyber insurance and general software engineering companies. He has been based in Asia Pacific for almost a decade and can be found via his profile at vand.hk.