New Products
gOS Gadgets, from the company Good OS, has been upgraded to Version 3. gOS Gadgets utilizes the diminutive and open-source Google Gadgets for the Linux platform to help PC OEMs make more affordable, consumer-friendly Netbooks and Nettops. New in the upgraded gOS Gadgets is an expanded, more stable release of Google Gadgets for Linux that offers users access to more than 100,000 Google and iGoogle Gadgets that decorate the desktop with live, personalized Internet content. It also features a unique user interface with big icons that launch Google applications in Mozilla Prism, a browser that makes Web applications feel more like desktop applications. gOS Gadgets is available for free download from Good OS's Web site.
Promise Technology stresses comprehensive Linux support on its new 16-Port RAID Controller, the SuperTrak EX16650. The EX16650 and the rest of the SuperTrak EX RAID controller family now officially supports more than 15 different Linux kernel distributions in addition to the company's open-source Linux drivers. The devices also now have native “inbox” driver support in all major Linux distributions. The EX16650 provides 16 ports of SAS/SATA connectivity, eliminating the requirement for a separate expander in most applications. Promise says the controllers are ideal for enterprise data solutions, such as enterprise storage servers, network backup, disk-to-disk backup, security and surveillance, video editing and digital content creation.
The open-source Java clustering solution Terracotta has added a tick to the tenths column, landing at Version 2.7. The makers of Terracotta claim their application lowers costs and simplifies Web application deployment by reducing development effort and easing the load on application servers and databases, making it a solution well suited for scaling critical applications. Because Terracotta offers “the performance of local memory with the high availability of a database”, it eliminates the “unyielding performance and reliability trade-offs that constrain many Java applications today”. Version 2.7 also extends support of the Spring framework and the Glassfish application server, plus features that enhance scalability, performance and operational visibility.
In telecom news, Fonality recently announced it will provide its HUD 3.0 unified communications software to the open-source trixbox Community Edition (CE) platform. Trixbox is the world's largest free and open-source telephony project. As a result, trixbox CE users will enjoy presence management and detection in a single interface for all types of office communications, including SMS, instant message, land-line calling, mobile calling, chat, voice mail, e-mail, conferencing, recording and barging. They also will have a “secure and affordable way to support remote and home-based workers”, says Fonality. Fonality adds that its contributions will “bring the polish of the HUD 3.0 unified communications platform, which is in use by more than 100,000 paid users, to the trixbox community”.
Apress is venturing into the under-published topic of geospatial data management with its new book Pro Oracle Spatial for Oracle Database 11g, by authors Ravi Kothuri and Albert Godfrind. The book is targeted at software developers who want to develop applications using Oracle's extensive built-in support for working with spatial, or geocoded, data. The book addresses issues such as the special nature of spatial data and its role in professional and consumer applications; the modeling, storing, accessing and analyzing of spatial data; the Oracle Spatial solution and the integration of spatial data into enterprise databases; and how spatial information is used to understand business and support decisions. Other topics include the SDO_GEOMETRY data type, geocoding of data, map creation, network modeling and optimizing analysis of spatial data.
James Gray is Products Editor for Linux Journal
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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| Designing Electronics with Linux | May 22, 2013 |
| 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 |
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!
Featured Jobs
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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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