the scalable foundation for our automated Data Quality

nafizcristia97

System for tracking and validating money movement February , Ilya Ganelin Ledger Platform Last Black Friday to Cyber Monday, Stripe processed million transactions with a total payment volume of $B—and the Stripe API maintained greater than % availability. Underlying these metrics is our Global Payments and Treasury Network (GPTN) that manages the complexity of accepting payments, money storage, and money movement. Today, Stripe supports more than currencies and payment methods through partnerships with local banks and financial networks in countries. These entities provide different interfaces, data models, and behaviors, and Stripe continually manages this complexity so developers can quickly integrate the GPTN into their businesses.

Internally, Stripe needs to guarantee that what we expect to happen during payment processing actually happens for internal customers and external auditors of our data. We built Ledger, an immutable and auditable log, as a trustworthy Brazil Mobile Number List system of record for all of our financial data. Ledger standardizes our representation of money movement, and it serves as the scalable foundation for our automated Data Quality (DQ) Platform—guaranteeing Stripe faithfully manages money for users. Many existing systems provide primitives for accurate accounting, but the real world is imperfect, incomplete, and constantly changing.



We witness basic and obvious failures like malformed reports or propagated errors from banking or network partners, and also broad macroeconomic changes such as currencies ceasing to exist or large banks collapsing overnight. While we aspire to an orderly ideal, at Stripe scale, that’s impossible—instead we built a system that keeps these imperfections manageable and bounded. Ledger models internal data-producing systems with common patterns, and it relies on proactive alerting to surface issues and proposed solutions.