(tags: hadoop bayes spam filtering algorithm mapreduce parallel article)

In this post I'll briefly run through them and explain where they came from, how they relate to each other and how Google's newly released Protocol Buffers might fit in.

(tags: thrift rpc protocol mapreduce hadoop distributed computing api protocolbuffers google)

Today I’m going to show you how to interface Python to Apache HBase using Facebook’s Thrift package.

(tags: tutorial thrift python howto hbase hadoop facebook database article)

In this article, Ryan Carson shares some of the the lessons he learned from the recent sale of DropSend. These tips should help you avoid some of the typical (burt not always obvious) pitfalls should a buyer come knocking.

(tags: web startup sell planning money marketing selling business best-practices carson carsonified success)

Gitosis is a wonderful little system to manage Git repositories, providing access over SSH, with tight access control and using only one shell account.

(tags: git gitosis repository howto ssh tutorial)

An expanding list of papers on Distributed Systems.

(tags: scaling scalability research reading patterns parallel papers distributed google hadoop toread bestof collection)

Anyone can succeed on the internet.\n\nEver thought of starting your own web based business? Already have a website and need traffic? Want to know what’s hot on the web? Looking for the latest information sites?

(tags: entrepreneurship business article web idea startup ideas company marketing)

It’s about an experiment which proves that subliminal advertising works. Unbelievable. Nice detail: the experiment was done with two advertising agency executives.

(tags: subliminal advertising psychology marketing video viral)

(tags: perl debian linux cpan package packaging packages conversion)

Helios is a system for building asynchronous distributed job processing applications. Applications that need to process millions of small units of work in parallel can use the Helios system to scale this work across the multiple processes and servers that form a Helios collective. Helios may also be used to improve the user experience on websites. By utilizing the framework's asynchronous job processing services, potential timeout issues can be eliminated and response times decreased for larger tasks invoked in response to user input. The web server application can "fire and forget" in the background, immediately returning control to the user. Using Helios, simple Perl applications can be written to distribute workloads throughout the Helios collective while still retaining centralized management.

(tags: helios distributed perl messaging messagequeue server framework scalable scalability queue)