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Xyu.io. Open Pen in new window / View code as Gist One of the most common questions we get from our WordPress VIP clients, many of whom are large media companies that publish constantly, is how they can bias their search results towards more recent content when scoring and sorting them.

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Blog 10 years ago
Visualizing Elasticsearch Function Scores
Open Pen in new window / View code as Gist One of the most common questions we get from our WordPress VIP clients, many of whom are large media companies that publish constantly, is how they can bias their search results towards more recent content when s
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Blog 10 years ago
Balancing Kafka on JBOD
At Automattic we run a diverse array of systems and as with many companies Kafka is the glue that ties them together; letting us to shuffle data back and forth. Our experience with Kafka have thus far been fantastic, it's stable, provides excellent throug
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Blog 10 years ago
Log Analysis With Hive
At Automattic we see over 131M unique visitors per month from the US alone. As part of the data team we are responsible for taking in the stream of Nginx logs and turning them into counts of views and unique visitors per day, week, and month on both a per
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Blog 11 years ago
Building a Faster ETL Pipeline with Flume, Kafka, and Hive
At WordPress.com we process a lot of events including some some events that are batched and sent asynchronously sometimes days later. But when querying this data we are likely to care more about when the events occurred rather then when it was sent to our
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Blog 12 years ago
WordPress Performance with HHVM
With Heroku-WP I hoped to lower the bar in getting WordPress up and running on a more modern tech stack. But what are the performance implications of running WordPress on such a modern set of technologies? Surely it's faster but by how much and is the per
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