PUBLIC MARKS with search twitter

Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisingly huge scales: 500 million page views a day, a peak rate of ~40k requests per second, ~3TB of new data to store a day, all running on 1000+ servers.

Node.js wasn’t selected because it is easier to scale the team with a JVM base. Node.js isn’t developed enough to have standards and best practices, a large volume of well tested code. With Scala you can use all the Java code. There’s not a lot of knowledge of how to use it in a scalable way and they target 5ms response times, 4 9s HA, 40K requests per second and some at 400K requests per second. There’s a lot in the Java ecosystem they can leverage.

The frequency of airline flights may thus be a better predictor of non-local ties than physical proximity

Herd is a single-command Bittorrent-based file distribution system, based on Twitter's Murder. It was designed for pushing code out to a number of production systems. You can probably use it for other things. Herd requires no extra Python modules on the destination system as it ships around its own (lightly modified) copy of BitTornado.

I decided to take all the blog posts, Twitter messages, and Flickr images I made this year, combine them, typeset them, and then get it printed in a hard-bound book. I wrote a bit about the reasoning here.