Cloud Native

Executive Summary & Quick Answer: PayPay scales over 100 microservices for 60+ million users in Japan by combining Domain-Driven Design boundaries with GitOps CD automation using ArgoCD and Argo Rollouts. Automated canary deployments validate new code against live production metrics before full traffic shifting. Answer-First: PayPay enforces stable deployments by combining branch promotion workflows with GitOps tools like ArgoCD. Declarative configuration files in git serve as the single source of truth, allowing ArgoCD to automatically reconcile cluster state, execute canary rollouts, and enable instant rollbacks of microservices. ...

← Series hub ← Prev • Next → Executive Summary & Quick Answer: Alipay’s tech stack combines SOFAStack middleware, OceanBase distributed databases, and lightweight Service Mesh sidecars to achieve high-density microservice deployments with low inter-service RPC overhead. Prerequisite: Phase 3: Operations Playbook This phase describes the core technology layers and software engineering paradigms that Alipay developed to scale its transaction processing systems. Building systems for Double 11 is not only an infrastructure scaling challenge; it is a software complexity challenge. The engineering team had to design a unified core platform capable of handling thousands of distinct business requirements (promotions, installment plans, international cards) without turning the codebase into an unmaintainable monolith. ...

← Series hub ← Prev • Next → Executive Summary & Quick Answer: Alipay’s Double 11 technology deep dive reveals high-performance internals: binary Bolt RPC protocol multiplexing over single TCP streams, RocketMQ 2PC transactional messaging for async decoupling, OceanBase LSM-tree compaction tuning, and multi-zone Paxos quorum consensus to achieve 544,000 TPS payment processing. Prerequisite: Phase 4: Technology Overview This document is a deep-dive companion to Phase 4. It focuses on the internal mechanics that define the hard limits of peak performance systems: RPC protocol layouts, consensus log replication pipelines, storage engine compaction configurations, and distributed transactions. ...