Trouble Tickets

Make Customers Smile in 7 Easy Steps with OTRS - Part 4

In Part 3, you learned how to accept, open and close tickets, and use the OTRS interface to communicate with customers and internal team members through the ticket resolution workflow. more>>

Make Customers Smile in 7 Easy Steps with OTRS - Part 3

In Part 2, you learned about agents, customers and queues, and you also got a brief look under OTRS' hood, by learning how to customize the customer self-ervice portal with your own theme and logo. The customer portal is more than just a pretty face, however. more>>

Make Customers Smile in 7 Easy Steps with OTRS - Part 2

In Part 1, I introduced you to OTRS and guided you through the process of installing and configuring oTRS on your system. At the end of Part 1, you were able to log in to the OTRS Dashboard, which serves as the central point for all OTRS operations. more>>

OTRS screenshot

Make Customers Smile in 7 Easy Steps with OTRS

Back in the old days, if a customer had a problem with a product or service, he'd pick up the phone and dial the service provider or vendor responsible. In most cases, he'd be attended to by a technical expert, who'd ask for details and then attempt to diagnose and resolve the problem. more>>

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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.

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Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

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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