Upfront
Universities are very cost-conscious, and the relatively low expense of Intel systems combined with organic availability of Linux is quickly becoming the norm, especially at reputable engineering schools. The free availability of the source code leads universities to standardize on Linux for computer science courses.
—Billy Marshall, Red Hat
Continuing core development of version 3 is mostly paid for by Hans Reiser from money made selling licenses in addition to the GPL to companies who don't want it known that they use ReiserFS as a foundation for their proprietary product. And my lawyer asked “People pay you money for this?” Yup. Hee Hee. Life is good. If you buy ReiserFS, you can focus on your value add rather than reinventing an entire FS.
—mkreiserfs, in reiserfsprogs 3.6.5
The first discovery I'd like to present here is an algorithm for lazy evaluation of research papers. Just write whatever you want and don't cite any previous work, and indignant readers will send you references to all the papers you should have cited.
—Paul Graham
Comparing UNIX and Linux like-for-like, we found that we get two to five times the amount of throughput [messages per second] on one of the Intel boxes than on a Sun Sparc box, at half the cost.
—Casey Merkey, Global Linux Program Manager, Reuters' Market Data System
—David A. Bandel
trickle: monkey.org/~marius/trickle
I often have a low-priority task that takes some time running in the background, like a large FTP download. With trickle, I can manage bandwidth usage on a per-program, per-IP-address basis, so my SSH sessions are still responsive, my FTP sessions continue (albeit at a slower pace), and family members and coworkers don't get upset. Its only drawback is that you must remember to use trickle to invoke the program for which you want the traffic shaped. Requires: libevent, libnsl, libdl, glibc.
—David A. Bandel
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Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
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