Call for Articles
Update: Thank you all for your interest. The response has been overwhelming. Unfortunately, that means we are unable to accept any additional proposals for this issue, as we will not be able to review them all.
Linux Journal is gearing up for our Python issue, and we'd love to get articles from YOU! If you have any Python-related projects, tactics, lessons or other articles ideas, send a proposal to jill@linuxjournal.com. We're excited about the Python issue, and we're excited for you to help us make it awesome! (NOTE: any photos of geeks flexing their "pythons" for us will be deleted immediately--or possibly posted online for everyone to see. Please, no one wants to see that!)
Shawn Powers is an Associate Editor for Linux Journal. You might find him chatting on the IRC channel, or Twitter
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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| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
- Weechat, Irssi's Little Brother
- Senior Perl Developer
- Technical Support Rep
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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:
- 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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Reply to comment | Linux Journal
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