Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

Fast Stream Processing In Python Using Faust with Ask Solem

Fast Stream Processing In Python Using Faust with Ask Solem

FromThe Python Podcast.__init__


Fast Stream Processing In Python Using Faust with Ask Solem

FromThe Python Podcast.__init__

ratings:
Length:
29 minutes
Released:
Aug 27, 2018
Format:
Podcast episode

Description

The need to process unbounded and continually streaming sources of data has become increasingly common. One of the popular platforms for implementing this is Kafka along with its streams API. Unfortunately, this requires all of your processing or microservice logic to be implemented in Java, so what's a poor Python developer to do? If that developer is Ask Solem of Celery fame then the answer is, help to re-implement the streams API in Python. In this episode Ask describes how Faust got started, how it works under the covers, and how you can start using it today to process your fast moving data in easy to understand Python code. He also discusses ways in which Faust might be able to replace your Celery workers, and all of the pieces that you can replace with your own plugins.
Released:
Aug 27, 2018
Format:
Podcast episode

Titles in the series (100)

The podcast about Python and the people who make it great