Follow a Tweet from creation to timeline and Streaming API delivery. The design of streaming within Twitter is influenced by the entire Twitter architecture, the direction of the platform, data syndication policies and Quality of Service requirements. We'll discuss these influences and our system implementation.
This document summarizes a keynote speech given by John Adams, an early Twitter engineer, about scaling Twitter operations from 2008-2009. Some key points: 1) Twitter saw exponential growth rates from 2008-2009, processing over 55 million tweets per day and 600 million searches per day. 2) Operations focused on improving performance, reducing errors and outages, and using metrics to identify weakn
Big Data at Twitter, Chirp 2010AI-enhanced description The document discusses the challenges of handling big data at Twitter, focusing on data collection, large-scale storage, and analysis, particularly emphasizing the need for infrastructure like Hadoop and Scribe for efficient processing. It highlights the scale of data generated, at 7TB per day, and the importance of using distributed systems f
Mysql was no longer suitable for Twitter's large scale needs due to self joins becoming prohibitively expensive as the number of users grew to 106 million. Cassandra, a distributed database management system developed at Facebook, was better suited as it allowed for distributed storage and handled Twitter's social graph and high write volumes. Twitter's request flow involves distributing load bala
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User Streams Preview 4/15/2010 We're opening up a developer preview of a Streaming API feature that we're calling User Streams -- real-time updates of all data needed to update a desktop application display. The grand vision has applications, eventually, hitting the REST API for startup back-fill, then transitioning to Streaming for nearly all subsequent reads. Streaming will revolutionize the use
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