---
title: "Weibo Case Study"
description: "Learn how Weibo leverages Apache Flink and Ververica Platform for real-time data processing and Machine Learning at scale. Dive into their success story."
lastUpdated: 2026-10-19T08:43:28.000Z
source_url:
  html: "https://www.ververica.com/case-study/weibo"
  md: "https://www.ververica.com/case-study/weibo.md"
---

# Weibo

Learn how Weibo uses Apache Flink and Ververica Platform to unify offline and online data processing and run Machine Learning pipelines at scale.

This case study presents how social networking platform Weibo uses Apache Flink and Ververica Platform to run real time data processing and Machine Learning on their platform.

In the different sections of the case study, Weibo's Machine Learning platform is introduced. Its architecture is revealed, focusing on how Machine Learning pipelines are developed in real-time using Apache Flink and Ververica Platform on Alibaba Cloud. There is further insight into the company’s plans for Flink’s usage at Weibo and how open source technology has been utilized and adopted in the organization overall.

What you will learn from the case study:

- A deep dive into Weibo's Machine Learning platform, its components, and technology stack
- How Weibo uses Apache Flink for online Machine Learning
- How Weibo plans to further integrate and expand the usage of Apache Flink and Ververica Platform in the future