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Real-time processing and online Machine Learning at Weibo with Apache Flink & Ververica Platform on Alibaba Cloud

Learn how Weibo uses Apache Flink and Ververica Platform on Alibaba Cloud 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 on Alibaba Cloud (Real Time Compute) 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 Wibo plans to further integrate and expand the usage of Apache Flink and Ververica Platform in the future

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