UpFront
The radio market is now clearly driven by greed and corruption rather than creativity and talent. Something must be done to bring attention to this, and I strongly believe that swift federal action is necessary.
—Sen. John McCain, on record companies paying stations to play their music.
Greed is never good.
—Linus Torvalds
As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.
—Albert Einstein
Sex is the mathematics urge sublimated.
—M. C. Reed
2,500 statue miles is .0134 light seconds. If we take 10 gigabits/sec (OC192C) as a gigabyte/sec (rounding), we get 13.4 megabytes in flight at 2.5 gigabits/sec (OC48C), divide by 4 and get 3 megabytes in flight.
—Mike O'Dell
Windows has noticed you have changed your mind. Windows will reboot to recognize this change.
—Gates_throws_tantrum, on Slashdot
Irony is so dead.
—Don Marti
Human reality is socially constructed. That is, most of the “facts” that determine our daily lives are socially constructed facts, which are true as long as enough people believe them to be true. The right to own property, the right to not be murdered, indeed the right to continue to live at all; all of these are socially constructed rights, which are true only as long as enough of us believe in them.
—Rusty Foster
There's no matter on the Web and thus no distance. It is a purely social realm; all we have are one another and what we've written. And what we've written has been written for others. The Web is a public place that we've built by doing public things.
—David Weinberger
We hackers were actively aiming to create new kinds of conversations outside of traditional institutions. [The Net] wasn't an accidental byproduct of doing neat techie stuff; it was an explicit goal for many of us as far back as the 1970s. We intended this revolution.
—Eric Raymond
When you've commodity chips strapped together with commodity drives hooked together with fast Ethernet interconnects, then you want a commmodity OS, and Linux is it.
—John K. Thompson
Humans are destined to be party animals, and the technology will follow.
—Linus Torvalds
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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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If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
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Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
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:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




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