The Debian System: Concepts and Techniques

· No Starch Press
Ebook
608
Pages

About this ebook

Despite its reputation as an operating system exclusively for professionals and hardcore computer hobbyists, Debian's open development cycle and strict quality control have helped it to gain popularity. With an installed base that’s growing annually by an estimated 25 percent, Debian clearly has its fair share of fans (not to mention the newsmaking Debian-based Linux distributions such as Knoppix, Ubuntu, and Xandros).

Unlike other popular Linux distributions, the Debian GNU/Linux operating system favors text-based configuration over graphical user interfaces (GUIs). In The Debian System, author Martin Krafft, an experienced Debian developer, introduces the concept of the Debian operating system, and explains how to use its various tools and techniques as well as the pitfalls and the thinking behind each. Debian may appear simplistic, but it is actually quite robust, scalable, and secure. After reading The Debian System, you’ll see that strict adherence to standards, highly experienced developers, a clear vision and goals, and a certain degree of academic perfection make Debian the exceptional system that it is today.

This is a fascinating, must-have volume that UNIX and Linux administrators will find complements the standard Linux references and will quickly orient you to Debian's unique philosophy and structure. Co-published with Open Source Press, an independent publisher based in Munich that specializes in the field of free and open source software.

Visit the book's companion site for a discussion forum, errata, frequently asked questions, and more.

About the author

Martin Krafft has been a faithful supporter of Debian since 1997, working as a developer and a PR person, and fielding user questions on mailing lists. He has experience administering mid-sized networks and providing user support, and is responsible for numerous university servers and a 40-node cluster of Debian machines. Krafft is currently working on his Ph.D. at the Artificial Intelligence Laboratory of the University of Zurich.

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