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Mastering pfSense

Mastering pfSense

By : David Zientara
3.3 (4)
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Mastering pfSense

Mastering pfSense

3.3 (4)
By: David Zientara

Overview of this book

pfSense has the same reliability and stability as even the most popular commercial firewall offerings on the market – but, like the very best open-source software, it doesn’t limit you. You’re in control – you can exploit and customize pfSense around your security needs. Mastering pfSense - Second Edition, covers features that have long been part of pfSense such as captive portal, VLANs, traffic shaping, VPNs, load balancing, Common Address Redundancy Protocol (CARP), multi-WAN, and routing. It also covers features that have been added with the release of 2.4, such as support for ZFS partitions and OpenVPN 2.4. This book takes into account the fact that, in order to support increased cryptographic loads, pfSense version 2.5 will require a CPU that supports AES-NI. The second edition of this book places more of an emphasis on the practical side of utilizing pfSense than the previous edition, and, as a result, more examples are provided which show in step-by-step fashion how to implement many features.
Table of Contents (15 chapters)
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An example of both load balancing and CARP

To demonstrate how the concepts introduced might be implemented in a real-world scenario, we will return to the example network introduced in the beginning of the chapter. Some very specific requirements were outlined:

  • We need redundant firewalls, and this requires implementing CARP.
  • Finally, we wanted to introduce some redundancy into our FTP server, and have at least two separate servers. This requires implementing server load balancing.

Assume that we have a LAN network for local traffic, and also assume that we have a separate DMZ network for the FTP server.

Assume we have a subnet of 192.168.1.0 for the LAN network, and a subnet of 192.168.2.0 for the DMZ network. The FTP server's IP address is 192.168.2.10.

There are various ways we could go about implementing the changes we want, but implementing a CARP group is more difficult...

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