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How Recommendations Shape Reader Preferences
Digital media has empowered readers like never before. With a seemingly endless supply of content and the newfound ability to … Read more
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Grokking Python Event Loops and Concurrency with Apache Cassandra
Python offers a number of different concurrency models, including multi-threading, process pools, and cooperative multitasking around an async event loop. … Read more
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Mage: The Magical Time Series Backend Behind Parse.ly Analytics
Building a time series engine is hard. Beyond the typical database management problems of data distribution, fault tolerance, and read/write … Read more
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Lucene: The Good Parts
Before MongoDB, before Cassandra, before “NoSQL”, there was Lucene. Did you know that Doug Cutting wrote the first versions of … Read more
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Kafkapocalypse: a postmortem on our service outage
On Thur, Mar 26 2015 and Fri, Mar 27 2015, Parse.ly experienced several outages of its data processing backend. The … Read more
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Hacking The News
A Sunday morning in the MIT Media Lab atrium, all the clues were there. Few words spoken between huddled teams. … Read more
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As digital media business transforms, better insights are more critical than ever
One thing we can say about the media business: it doesn’t move slowly. We don’t need to do a full … Read more
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Apache Storm: The Big Reference
Apache Storm is a free and open source project that is heavily used here at Parse.ly, as well as at … Read more
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Getting Your News From Social
Recently, the Pew Research Center’s Journalism Project released a study that concluded that news consumption on Facebook was common, but … Read more
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Bigger Data, Smarter Scaling
Parse.ly’s CTO, Andrew Montalenti was one of three presenters at the Times Open at the New York Times HQ on … Read more