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Name: Distributed pub-sub infrastructure with Apache Kafka
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Author(s):	Carl Scheffler
Location	Room 215
Date	oct Thu 01	Days Raw Files
Start	11:00	First Raw Start	10:59
Duration	00:45:00	Offset	0:00:59
End	11:45	Last Raw End	11:31
Chapters	00:00 0:39:32
Total cuts_time	39 min.

https://za.pycon.org/talks/20/
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Description:	[Apache Kafka](http://kafka.apache.org/) is great for building a large scale distributed data bus. Even a small cluster will happily accept and store thousands of messages per second, and make them available to consumers with low latency. Kafka was chosen as the solution to our publish-subscribe infrastructure at [Takealot.com](http://www.takealot.com/). It supports our event-driven systems on the website, in the warehouses and in the office, as well as our analytics and machine learning projects. This talk will * introduce the basic Kafka principles that make things work, * outline how Kafka fits in with the rest of our architecture, * cover some of the practicalities of building Python-based Kafka services, * compare the two main Python libraries for Kafka, namely [kafka-python](https://github.com/mumrah/kafka-python) and [pykafka](https://github.com/Parsely/pykafka), * demonstrate some practical applications at Takealot.com. Join in if you are interested in scalable distributed infrastructure. markdown
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