Install and Manage the CUPS Server with New Book from Packt
Packt is pleased to announce a new book on the Commmon Unix Printing System that teaches to monitor and secure the CUPS server. Written by Ankur Shah, CUPS Administrative Guide will show users to manage printers through the command line and web interface.
The Common Unix Printing System (CUPS) is a modular printing system for Unix-like computer operating systems that allows a computer to act as a print server. It consists of a print spooler and scheduler, filters to convert print jobs to the format required by each printer, and a backend system to send the data to the chosen printer from client applications. By providing a portable, modular printing layer, CUPS brings printing for UNIX into the modern age.
This book introduces system administrators to the unique and powerful features of CUPS, and then moves on to installing, compiling and managing the print network. System administrators will learn how to integrate their systems with other systems like LPDs and Mac, manage the ever increasing print job load, set up clients, and manage users.
CUPS Administrative Guide will teach administrators to customize the status of their printer system to accept and reject print jobs, set different print options, print multiple copies, configure manual and automatic print queues, and communicate with single and multiple servers with clients. Users will also learn the importance of cupsd.conf directives that will help them manage their network, server, browsing, and security options.
Linux/Unix System Administrators who want to know about the CUPS server and who are interested in designing and setting up a CUPS network will find this book useful. This book is out now and is available from Packt. For more information, please visit http://www.packtpub.com/printing-with-cups-common-unix-printing-system/book
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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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.
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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!
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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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