Scalable Realtime Architectures in Python

Explore scalable realtime architectures in Python using tools like Storm, Kafka, and ZooKeeper in this EuroPython 2014 conference talk. Learn how to implement highly scalable and fault-tolerant systems for realtime aggregation, dashboards, and decision-making. Discover techniques for composing reliable systems using at-least-once and idempotence semantics, and strategies for partitioning data for locality. Gain insights into solving distributed coordination challenges at scale and leveraging Storm's framework for efficient partitioning and retry mechanisms. Understand how to break down large problems into manageable components, handle failures gracefully, and write idempotent code for processing streams of data. Delve into practical examples of implementing realtime architectures with Python, combining its concise syntax and powerful libraries with robust distributed computing tools.