How to Build a Data Mesh with Stream Governance | Join Webinar

Online Talk

How Vimeo Uses Streaming Pipelines to Optimize Real-Time Experiences for 260M+ Users

Available On-demand

When it comes to video platforms, user experience is king. Video creators and viewers expect a rich toolset and highly engaging platforms that cater to their needs and interests in real time, with zero buffering or other performance hiccups. Add to this sheer scale—hundreds of millions of users, a hundred billion views—and data pipelines become vital for ingesting and processing real-time data.

To meet high customer expectations, Vimeo needs access to real-time data from numerous systems and apps across their organization. That’s where Confluent’s data streaming platform and streaming pipelines come in.

Tune in to hear from Vimeo’s Director of Data Engineering Babak Bashiri and Principal Data Platform Engineer Burton Williams, about how they implemented a streaming data architecture that plays a critical role in driving user growth. You’ll learn about:

Real-time data warehousing for real-time analytics:

  • From batch ETL with a 1-day delay to building streaming pipelines to a cloud data warehouse—learn how Vimeo unlocked real-time behavioral insights for 260M+ users to adapt and personalize in-product interactions, experiments, and marketing campaigns.

Real-time monitoring and adaptive bitrate streaming:

  • By monitoring real-time data on network bandwidth, latency, and other parameters, Vimeo can optimize the video quality to match the viewer's available resources, ensuring smooth playback even in fluctuating network conditions.

Register now and take home best practices for building streaming pipelines and leveraging real-time data to deliver remarkable customer experiences.

Presenters

Babak Bashiri

Director of Data Engineering, Vimeo

Burton Williams

Principal Data Platform Engineer, Vimeo

Anna Gege

PMM, Solutions Marketing, Confluent

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices
microservices-and-apache-kafka