Don’t Miss It! Zoom Shares Innovative Use of DolphinScheduler – Live Meetup on May 20

Don’t Miss It! Zoom Shares Innovative Use of DolphinScheduler – Live Meetup on May 20

Publish Date: May 15
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Dear community members,

The Apache DolphinScheduler community is back with another exciting Meetup! 🎉

This time, we’re thrilled to welcome Binjie Shi, a technical expert from Zoom, who will share a special talk titled:
“DolphinScheduler in Production at Zoom”

As one of the world’s largest online meeting platforms, Zoom will reveal—for the first time—how it efficiently leverages DolphinScheduler in real-world business scenarios. Get ready for an exclusive deep dive into their production practices and innovations!


📅 Live Date: May 20, 2025 (Tuesday), 14:00–15:00 (GMT+8)
📍 Streaming Platform: WeChat Video Channel (Live)
📌 Scan the QR code to RSVP and join the live session. Interact and win exciting DolphinScheduler swag!


🔍 What You’ll Learn:

  • 🔧 Flink Job State Restructuring Practice – unify batch and streaming job scheduling
  • 🚀 Custom Spark/Flink Submission Plugins – flexibly submit jobs to Kubernetes
  • 🐞 In-depth Debugging and Fixes of Key Community Bugs – including failover issues in DolphinScheduler-master causing duplicate submissions

Packed with practical insights and technical deep dives, this session is not to be missed!


👨‍🏫 About the Speaker:

Binjie Shi|Technical Expert at Zoom
Formerly with Alibaba and Didi, Binjie currently leads Zoom’s offline scheduling system. He has extensive experience with production-grade scheduling platforms and is an active contributor to the DolphinScheduler community.


🎁 Join to Win!
A live lucky draw will be held during the event—don’t miss your chance to win exclusive DolphinScheduler merchandise!

📱 Scan the QR code at this link to register and reserve your spot: https://www.modb.pro/event/1251/477573

💬 Interested in real-world use cases of open-source scheduling systems?

This is a rare opportunity to hear directly from Zoom’s tech team and connect with the DolphinScheduler community.

Feel free to share this with colleagues and friends in big data and scheduling—we’ll see you at the livestream!

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