Configure and Use a Network Monitoring System with New Book from Packt
Packt is pleased to announce a new book on the Zenoss, the Open Source network monitoring system. Written by Michael Badger, Zenoss Core Network and System Monitoring will teach users to configure Zenoss Core via an easy to use web interface.
Zenoss is an enterprise network and systems management application written in Python/Zope that provides an integrated product for monitoring availability, performance, events and configuration across layers and across platforms. Zenoss provides an AJAX-enabled web interface that allows system administrators to monitor availability, inventory/configuration, performance, and events.
This book will teach users to adapt and work with Zenoss to monitor Systems and Networks. System administrators, network engineers, and security analysts will learn how to keep a track of network traffic. Through this book users will learn to analyze network security audits, debug network configurations, and usage patterns which all require network traffic monitoring.
Users will also learn to administer Zenoss Core and perform backups and updates; extend Zenoss Core with ZenPacks, Nagios plugins, and command line utilities and build an inventory of their network using Zenoss Core. Apart from individual users, this book also helps small and large organizations to collect data, monitor, and report on their IT assets.
The book is out now and is available from Packt. For more information, please visit http://www.packtpub.com/zenoss-core-network-and-system-monitoring/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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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.
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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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