ByteWax: Rust's Research Meets Python's Practicalities (with Dan Herrera)

Developer Voices

Kris Jenkins에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Kris Jenkins 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

5M ago 1:01:54

MP3•에피소드 홈

Bytewax is a curious stream processing tool that blends a Python surface with a Rust core to produce something that’s in a similar vein to Kafka Streams or Apache Flink, but with a fundamentally different implementation. This week we’re going to take a look at what it does, how it works in theory, and how the marriage of Python and Rust works in practice…

–

The original Naiad Paper: https://dl.acm.org/doi/10.1145/2517349.2522738

Timely Dataflow: https://github.com/TimelyDataflow/timely-dataflow

Bytewax the Library: https://github.com/bytewax/bytewax

Bytewax the Service: https://bytewax.io/

PyO3, for calling Rust from Python: https://pyo3.rs/v0.21.2/

Kris on Mastodon: http://mastodon.social/@krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Kris on Twitter: https://twitter.com/krisajenkins

--
#softwaredevelopment #dataengineering #apachekafka #timelydataflow

69 에피소드