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Likewise the current belief that, in the case of artificial machines the very large and the very small are equally feasible and lasting is a manifest error. Thus, for example, a small obelisk or column or other solid figure can certainly be laid down or set up without danger of
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In a great article, Amazon S3 Performance Tips & Tricks, Doug Grismore, Director of Storage Operations for AWS, has outed the secret arcana normally reserved for Premium Developer Support customers on how to really use S3: * Size matters. Workloads with less than 50-100 total requests per second don't
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The argument for a massively multicore future is now familiar: while clock speeds have leveled off, device density is increasing, so the future is cheap chips with hundreds and thousands of cores. That’s the inexorable logic behind our multicore future. The unsolved question that lurks deep in the dark
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Limelight says 95% of Mobile Video Views Take Place in First 90 Days and 88.8 percent of views take place in the first 30 days. Since a lot of people are working with video, which is expensive to store and serve, the implication: there's little need to
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This is a guest post derived from an email conversation with Russell Sullivan, a computer architect and creator of Alchemy Database, A Hybrid RDBMS/NOSQL-Datastore. Russell (AKA Jak Sprats) has been pondering, considering, and implementing distributed databases for many years. In a recent email conversation he shared 44 of the
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There are so many architectural ideas swirling in the bit wind these days. Two of the biggest battles are cloud vs. bare metal and RAM vs. disk vs. SSD. 37signals has published two solid articles that are counter hype cycle in their message: Technologists who grew up when RAM cost
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Facebook Timeline is audacious in scope. It wants to compile a complete scrollable version of your life story from photos, locations, videos, status updates, and everything you do. That could be many decades of data (hopefully) that must stored and made quickly available at any point in time. A huge
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How do you scale an inbox that has multiple highly volatile feeds? That's a problem faced by social networks like Tumblr, Facebook, and Twitter. Follow a few hundred event sources and it's hard to scalably order an inbox so that you see a correct view as
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Jeremiah Peschka with a great a set of Notes on Scalability, just in case you do reach your wildest expectations of success: 1. Build it to Break. Plan for the fact that everything you make is going to break. Design in layers that are independent and redundant. 2. Everything is
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In the "should I or shouldn't I" debate around deploying SSD, it always helps to have real-world data. Fiesta! with a live-blog summary of a presentation by Kenny Gorman on Shutterfly on MongoDB Performance Tuning. What if you still need more performance after doing all of
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How does Facebook handle the massive New Year's Eve traffic spike? Thanks to Mike Swift, in Facebook gets ready for New Year's Eve, we get a little insight as to their method for the madness, nothing really detailed, but still interesting. Problem Setup * Facebook expects tha
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When EC2 first started the mental model was of a magic Pez dispenser supplying an infinite stream of instances in any desired flavor. If you needed an instance, because of a either a failure or traffic spike, it would be there. As amazing as EC2 is, this model turned out