All Things Distributed
AUGUST 17, 2011
I have regenerated all pages since 2005, the pages before that can be found in the "/historical" section. Driving down the cost of Big-Data analytics. I have now for the most part replicated the way that my blog was generated in MT but now using Jekyll. Introducing the AWS South America (Sao Paulo) Region.
Smashing Magazine
MAY 17, 2021
I founded Instant Domain Search in 2005 and kept it as a side-hustle while I worked on a Y Combinator company (Snipshot, W06), before working as a software engineer at Facebook. If you have Google Analytics set up, an easy way to do this is to install Google’s web-vitals module and hook it up to Google Analytics.
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Rigor
JANUARY 13, 2020
How to measure every aspect of your web presence -- including analytics, backend performance, usability, communities, customer feedback, and competitive analysis. You only have a few seconds to get compelling content onto the screen. Fail, and you can kiss your customers and profits goodbye.” ” – Andy King, 2003. Still good.
Highly Scalable
MARCH 10, 2015
most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Jain, 2005. van Ryzin, 2005.
ScaleOut Software
JUNE 22, 2020
Software platforms for distributed caching, such as ScaleOut StateServer ®, which was introduced in 2005, hide internal mechanisms for cluster membership, throughput scaling, and high availability to take full advantage of the cluster’s scalable memory without adding complexity to applications.
ScaleOut Software
JUNE 22, 2020
Software platforms for distributed caching, such as ScaleOut StateServer ®, which was introduced in 2005, hide internal mechanisms for cluster membership, throughput scaling, and high availability to take full advantage of the cluster’s scalable memory without adding complexity to applications.
John McCalpin
APRIL 2, 2020
The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).
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