Global payment platform: Microservices at scale

The global payment industry has witnessed a paradigmatic shift as leading platforms transition from monolithic architectures to microservices-based ecosystems. This article documents the global payment transformative journey through this complex migration, highlighting their innovative approaches to domain-bounded service decomposition, elasticity, and resilience engineering. The narrative follows their implementation of critical infrastructure components including API gateways, event-driven communication patterns, and polyglot persistence strategies while addressing the unique challenges of maintaining real-time transaction processing across multiple regions. Technical solutions including distributed tracing, machine learning-based anomaly detection, and business-impact observability provide valuable insights for organizations undertaking similar digital transformations in mission-critical financial systems.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17264876
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global payment platform: Microservices at scale

Zenodo (CERN European Organization for Nuclear Research)
Coastal and Marine Dynamics
article

Global payment platform: Microservices at scale

article en

Abstract

The global payment industry has witnessed a paradigmatic shift as leading platforms transition from monolithic architectures to microservices-based ecosystems. This article documents the global payment transformative journey through this complex migration, highlighting their innovative approaches to domain-bounded service decomposition, elasticity, and resilience engineering. The narrative follows their implementation of critical infrastructure components including API gateways, event-driven communication patterns, and polyglot persistence strategies while addressing the unique challenges of maintaining real-time transaction processing across multiple regions. Technical solutions including distributed tracing, machine learning-based anomaly detection, and business-impact observability provide valuable insights for organizations undertaking similar digital transformations in mission-critical financial systems.

Zenodo (CERN European Organization for Nuclear Research)
Arizona State University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Coastal and Marine Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.