Advertising Specifications
Ad Dimensions
Horizontal measurement (width) is given first. All measurement units are in inches. The publisher reserves the right to alter any artwork not meeting these specifications, at the advertiser’s expense.
2-page spread (trim size): 16–1/4" x 10–7/8" (16.25" x 10.875")
Full page (trim size): 8–1/8" x 10–7/8" (8.125" x 10.875")
Full page: 7" x 10" (7.0" x 10.0")
1/2 page horizontal: 7" x 4–7/8" (7.0" x 4.875")
1/2 page vertical: 3–1/3" x 10" (3.333" x 10.0")
1/4 page: 3–1/3" x 4–7/8" (3.333" x 4.875")
Marketplace Single 3–3/8" x 2–5/16" (3.375" x 2.3125")
Marketplace Double 3–3/8" x 4–3/4" (3.375" x 4.75")
Marketplace Quad 6–7/8" x 4–3/4" (6.875" x 4.75")
Publication Specifications
Trim Size: 8-1/8" x 10-7/8"
Bleed Matter: At least 1/8" beyond trim on all sides.
Bleed: Bleeds are allowed on all ad sizes other than 1/4 page or Marketplace.
Electronic File Specifications and Formats
Colors may be CMYK, RGB or grayscale. All color and grayscale images should have a resolution of 300dpi at full size. All 1-bit black & white images should have a resolution of 1200dpi at full size.
EPS: All images must be embedded. All fonts must be converted to curves. The file must be saved with a preview.
PDF: All fonts must be embedded.
TIFF: Must be 300dpi.
For further guidelines, please contact Linux Journal’s production department.
Art and Production
Linux Journal will not be responsible for reproduction quality if materials fail to conform to specifications. Linux Journal reserves the right to reduce oversize material and charge for the service involved. Verbal instructions regarding changes for corrections to advertising materials must be confirmed immediately in writing. Linux Journal will hold materials for one year after the last insertion date, unless advertiser requests their return. All materials are destroyed after one year.
Sending Files Electronically
FTP: ftp5.linuxjournal.com
Username: incoming@linuxjournal.com
Password: anymouse
E-mail: artwork@linuxjournal.com - please do not email files larger than 5MB.
Production
Art Director
Garrick Antikajian
artwork@linuxjournal.com
+1-713-344-1956 x114
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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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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