Stateful Computation

Big Data Technology Architecture

Aug 7, 2019 · Big Data

Why Choose Apache Flink for Real‑Time Stream Processing: Features and Lessons Learned

This article explains why the author chose Apache Flink for real‑time stream processing, highlighting its unique combination of high throughput, low latency, event‑time support, stateful computation, flexible windows, and fault tolerance, while also reflecting on the challenges of adopting a less‑documented technology.

FlinkStateful ComputationStream Processing

0 likes · 7 min read

Why Choose Apache Flink for Real‑Time Stream Processing: Features and Lessons Learned

Xianyu Technology

Mar 21, 2019 · Big Data

Design and Implementation of the Mahé Real-Time Product Selection System Using Blink Stream Computing

Mahé, Xianyu’s real‑time product selection platform, uses Alibaba’s Blink stream engine to merge, evaluate roughly 300 rule‑based filters per item and emit only changed results, processing 1.4 billion daily messages at up to 50 k TPS through a four‑layer, stateful architecture.

BlinkFlinkStateful Computation

0 likes · 15 min read

Design and Implementation of the Mahé Real-Time Product Selection System Using Blink Stream Computing