Qmail Quickstarter: Install, Set Up and Run your own Email Server

Qmail Quickstarter: Install, Set Up and Run your own Email Server, 9781847191151 (1847191150), Packt Publishing, 2007

A fast-paced and easy-to-follow, step-by-step guide that gets you up and running quickly

Qmail Basics
Storing and retrieving of emails
Virtualisation
Filtering Spam
Hosting Multiple Domains, Encryption, and Mailing Lists

In Detail

This book starts with setting up a qmail server and takes you through virtualization, filtering, and other advanced features like hosting multiple domains, mailing lists, and SSL Encryption. Finally, it discusses the log files and how to make qmail work faster.

Qmail is a secure, reliable, efficient, simple message transfer agent. It is designed for typical Internet-connected UNIX hosts. Qmail is the second most common SMTP server on the Internet, and has by far the fastest growth of any SMTP server. Qmail's straight-paper-path philosophy guarantees that a message, once accepted into the system, will never be lost. Qmail also optionally supports maildir, a new, super-reliable user mailbox format.

What you will learn from this book?

Installing, configuring, and compiling qmail
Getting emails in and out of the queue, along with storing, retrieving, and authenticating them
Virtualisation of domains and user management, filtering spam, and other advanced features like SSL encryption and mailing lists

Approach

This book gives practical examples that system administrators can use right away, but it also explains the basics behind every example clearly.

Who this book is written for?

This book is targeted at System Administrators familiar with Linux/UNIX and DNS servers who need to set up qmail.

Comments

Amazing Books

The Encyclopedia Of International Organized Crime (Facts on File Crime Library)

Facts on File, 2005

As a reporter, columnist, and author who has written extensively about organized crime for more than three decades, my primary beat has been what is referred to by the Federal Bureau of Investigation (FBI) as “traditional organized crime.” In official court documents, the FBI identifies the organization as La Cosa Nostra (LCN). Most...

Beginning Adobe AIR: Building Applications for the Adobe Integrated Runtime (Programmer to Programmer)

Wrox Press, 2008

Beginning Adobe AIR

Adobe Integrated Runtime (AIR) is revolutionizing the way desktop applications are deployed. If you're ready to take advantage of this platform to build desktop-based Rich Internet Applications, then this is the book for you. It presents a step-by-step process, walking you through the features...

Social Thinking--Software Practice

MIT Press, 2002

Software practice is everywhere: software development, design, and use as well as related management are shaping today’s technology and changing the way we engage in social relations at work and at home, in small groups and in the larger society. Scientific reflection on software practice aims at understanding and improvement; at the same...

Introductory Chemistry: An Atoms First Approach

McGraw-Hill, 2016

From its very origin, Introductory Chemistry: An Atoms First Approach by Julia Burdge and Michelle Driessen has been developed and written using an atomsâfirst approach specific to introductory chemistry. It is not a pared down version of a general chemistry text, but carefully crafted with the introductoryâchemistry student...

Computational Finance Using C and C# (Quantitative Finance)

Academic Press, 2008

In Computational Finance Using C and C# George Levy raises computational finance to the next level using the languages of both standard C and C#. The inclusion of both these languages enables readers to match their use of the book to their firms internal software and code requirements. Levy also provides derivatives pricing information for:
...

Realtime Data Mining: Self-Learning Techniques for Recommendation Engines (Applied and Numerical Harmonic Analysis)

Birkhauser, 2014

ââââDescribing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore, it...