Architecture Big Data Databases Distributed Systems Infrastructure Messaging and Job Queues (RabbitMQ/Redis/...) Microservices
The Faust library brings the power of Kafka stream processing to Python
developers. It is very versatile and abstracts some complicated aspects that
could make Kafka scary and hard to work with at first glance.
This talk will **uncover some interesting design patterns** that you could
leverage for your Python applications using Faust and Kafka.
Proposed agenda:
- Introduction to Faust
- Distributed processing design patterns using Faust
- Code examples
Talk audience requirements: having a minimal knowledge of what Kafka is.
Type: Talk (45 mins); Python level: Advanced; Domain level: Advanced
CTO at Numberly, Open-Source contributor, Gentoo Linux developer, PSF contributing member.
I’ve been giving talks for a few years now, mostly to share my experience on architecture design, distributed systems, fault tolerance and scaling Python.
Numberly is a Marketing Technologist that helps its customers leverage the value of their data using all the digital communication channels available. We own and operate our infrastructure and are working on building large scale and highly available global architectures and applications. Our main development language to achieve this in all this variety of use cases is Python!
As a Gentoo Linux developer I focus mainly on clustering and NoSQL related packages. I'm a packager of various Open Source projects such as uwsgi, mongodb, consul, rabbitmq, keepalived, scylla...
You can catch me around with my handle: @ultrabug
Blog: https://www.ultrabug.fr/
