New Products
Ruby developers of the world, rejoice! ActiveState's latest release (3.5) of its Komodo integrated development environment has added support for the up-and-coming language. With the addition of Ruby, Komodo now supports five different languages, including Python, Perl, Tcl and PHP. Release 3.5 also includes support for Mac OS X and Ruby on Rails. Personal licenses are only $29.95 US, and the professional version (which adds features such as CVS and Subversion integration) is $295 US.
Centeris is releasing an open-source technology that will allow Linux servers to be administered via the Microsoft Management Console. Likewise, Open Agent allows administrators who are more comfortable looking at system administration tasks through Microsoft-colored glasses to perform such tasks as setting up Samba shares and configuring Apache through the MMC. Centeris expects that as time progresses, more modules will be added by the community, allowing for more specialized Linux tasks to be performed.
If you're still unable to cut the umbilical cord to some of your Windows applications, you may be in luck. CrossOver Office 5.0 is out, and it has added support for Office 2003. A personal version is available for $39.95 US, and a professional edition is only $30 more, with a free-trial option for the undecided.
Or, possibly you're looking for a more virtualized solution. In that case, VMware has just released the beta of a free VMware player, which will allow anyone to run a VMware virtual machine built using its products. Available for Linux and Windows, the player allows anyone to run a previously saved VMware environment without having to purchase a full VMware license.
www.vmware.com/download/player
Of course, you could just do without those pesky Microsoft products altogether. OpenOffice.org 2.0 has finally hit the streets, with a new database module called Base (think Access). Version 2.0 also includes support for the OpenDocument format, improved PDF export support and better compatibility with proprietary formats. And, as always, it's free—something you definitely can't say about Microsoft Office.
It just wouldn't be New Products without something for the hardware geeks. VIA has released a reference design for 1U server clusters based on its VT310-DP Mini-ITX mainboard using dual Eden-N processors. Running at 1GHz and requiring no fan, you can pack 64 processors into a 16U chassis. With room for two 3.5 SATA drives on each board, you'll still be able to run the whole thing on less than a kilowatt. The intent is to move high-density server clusters out of the server farm and into the workplace and classroom.
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
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
- RSS Feeds
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- Dynamic DNS—an Object Lesson in Problem Solving
- New Products
- Validate an E-Mail Address with PHP, the Right Way
- Drupal Is a Framework: Why Everyone Needs to Understand This
- A Topic for Discussion - Open Source Feature-Richness?
- Download the Free Red Hat White Paper "Using an Open Source Framework to Catch the Bad Guy"
- Tech Tip: Really Simple HTTP Server with Python
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
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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