This article examines Alibaba's internal Doris KV storage system, detailing why large companies build proprietary data products, the project's kickoff criteria, the two‑layer architecture, virtual‑node routing, failover mechanisms, and cluster scaling strategies for massive KV workloads.
This article explains how a fintech payment platform achieves high availability and optimal channel selection by using decision‑tree routing, sliding‑window negative‑feedback, pressure‑detection services, and component fallback strategies such as RabbitMQ with Redis, supporting millions of daily transactions.
This article explains how a large‑scale internet‑finance payment system integrates dozens of channels and products, employs decision‑tree routing, sliding‑window feedback, adaptive pressure detection, and Redis fallback for RabbitMQ to achieve high availability, low latency, and robust handling of millions of daily transactions.
This article presents the technical exploration of splicing recall in flight ticket search at Alibaba's Fliggy, detailing the background, challenges, constrained routing and machine‑learning algorithms, the four‑step solution pipeline, and the resulting improvements in ticket availability and conversion rates.
This article explains the principles of consistent hashing, demonstrates how to implement a custom ordered map and a TreeMap‑based solution for node selection, compares their performance, and shows how to integrate the algorithm into a routing framework with extensible strategies for backend services.
