What We've Been Up To
For several issues, I have sacrificed the space reserved for this column to include more interesting and useful articles, but it is time to give you an update on what is happening at Linux Journal.
Despite several setbacks, including my computer dying, LJ has improved over the past few months, as we are told over and over again in letters to the editor. However, we see much more room for improvement—and the more subscribers we have, the faster we are able to improve. Our thanks to all our subscribers!
Our greatest improvements will come from our readers. There is only so much that we can write; you, our readers, use Linux for things that we haven't thought of yet. In this issue, for instance, you'll read how Vance Petree at Virgina Power has implemented a system for managing large amounts of data using Linux systems (see page 23). In our September issue, Greg Wettstein wrote about using Linux to manage patient care for a large cancer research center. It is our policy to print at least one article each month about how Linux is being used in the real world, but we are dependent on you, our readers, to keep us informed.
We have hired several new staff members to process all our new subscription orders and to spend more time editing the articles. We have designed short monthly features with useful information, including ftp sites where information about Linux is available. Over the last few issues, we have instituted a policy of including a guide to available applicable resources of all types (including Internet sites, WWW URLs, and books) with most articles. We are now in the process of publishing a book called The Linux Sampler, filled with a mix of articles from Linux Journal, with sections on Linux history, systems administration, resources, and real world applications.
We exhibited at Unix Expo, as was covered in last month's Linux Journal, and helped make technical contacts between Linux developers and hardware and software vendors interested in Linux. We sponsored a two-day Linux Conference at Open Systems World in December, which included several short classes on a variety of topics and one full-day tutorial introduction to Linux.
Also, we like having fun with Linux just as much as the rest of you do. Many of you have seen our “My Other Computer Is a Linux System” stickers and t-shirts; we are now offering a Linux bumpersticker, and we sell other Linux-related products through our catalog. If you have other ideas for fun Linux-related items, feel free to send them to linux@ssc.com.
Michael K. Johnson is the editor of Linux Journal, and is also the author of the Linux Kernel Hackers' Guide (the KHG).
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.
Sponsored by AMD
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
| 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
- Validate an E-Mail Address with PHP, the Right Way
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
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?




5 min 34 sec ago
6 min 33 sec ago
7 min 27 sec ago
9 min 32 sec ago
10 min 36 sec ago
12 min 17 sec ago
13 min 16 sec ago
14 min 48 sec ago
15 min 41 sec ago
16 min 58 sec ago