Steven Zhen Wu
@stevenzwu
ID: 75464185
19-09-2009 03:43:25
63 Tweet
205 Followers
104 Following
Asking yourself how @Netlfix runs Apache Flink for critical data processing applications? Steven Zhen Wu will talk about failure recovery strategies at #flinkforward. berlin-2018.flink-forward.org/conference-pro…
If folks were lucky enough to catch Steven Zhen Wu ‘s talk at QCon New York Software Development Conference, the video of his talk (Streaming on Apache Iceberg) is available on InfoQ : bit.ly/44KodPi Apache Iceberg
Next talk is "Building stream processing as a service at Netflix" with Steven Zhen Wu at #OReillySACon Grand Ballroom West
Netflix’s data processing pipeline ingests about 2 trillion events/day (~2PB). The company created a stream-processing-as-a-service that offers devs templates and ops support for easily creating custom jobs — Steven Zhen Wu #OReillySACon
Here are the slides for my talk "Building Stream Processing as a Service (SPaaS)" SoftwareArchitecture. Sharing our experience of building a stream processing platform on top of Apache Flink at Netflix Netflix Data. slideshare.net/StevenWu5/buil…
Catch Steven Zhen Wu’s talk at #flinkforward San Francisco to learn how Netflix tackles challenges and issues of running Apache Flink at scale in cloud. bit.ly/2pSLGfQ
Dear @Twitter: I think it would be a good idea to allow people to edit their own tweets after posting. Even a brief editing window of 10 minutes would allow folks to correct typos & other mistakes, and would improve the Twitter experience. 👉RT IF YOU'D LIKE THIS EDITING FEATURE!
Hey Apache Flink community, get ready for #flinkforward SF on Apr 9-10! Here's the most recent blog post about the technology deep-dive sessions by Steven Zhen Wu, Feng Wang, and Stefan Richter. REGISTER by April 6! data-artisans.com/blog/flink-for…
Running a single Flink job with 21 TB of state. Incremental checkpoints for the win! Steven Zhen Wu #flinkforward
Slides and video for my #FlinkForward talk is out: data-artisans.com/flink-forward/…. Discussed the challenges and solutions for running Apache Flink at large scale in cloud Netflix Data: (1) thousands of stateless jobs and (2) single job with large state at many TBs