Fast Stream Processing In Python Using Faust with Ask Solem

The Python Podcast.__init__

• Episode: Fast Stream Processing In Python Using Faust with Ask Solem
• Website: The Python Podcast.__init__
• Feed URL: https://www.podcastinit.com/feed/mp3/
• Duration: 00:28:45
• Published: 2018-08-27 04:34

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.