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author | Vsevolod Stakhov <vsevolod@highsecure.ru> | 2016-06-28 17:45:28 +0100 |
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committer | Vsevolod Stakhov <vsevolod@highsecure.ru> | 2016-06-28 17:45:28 +0100 |
commit | 796366d44cdd4886e1a4cde94ca5cd6500f2ff42 (patch) | |
tree | e5a82d2ab8868268b0b740b4950c770259e8ca9b /README.md | |
parent | bfc724c71bd89a99ee3270cbd9bde6ae259fa532 (diff) | |
download | rspamd-796366d44cdd4886e1a4cde94ca5cd6500f2ff42.tar.gz rspamd-796366d44cdd4886e1a4cde94ca5cd6500f2ff42.zip |
[Doc] Slightly update readme document
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 14 |
1 files changed, 8 insertions, 6 deletions
@@ -1,6 +1,7 @@ [![Build Status](https://travis-ci.org/vstakhov/rspamd.png)](https://travis-ci.org/vstakhov/rspamd) ## Introduction + [Rspamd](https://rspamd.com) is an advanced spam filtering system that allows evaluation of messages by a number of rules including regular expressions, statistical analysis and custom services such as URL black lists. Each message is analysed by rspamd and given a `spam score`. @@ -10,6 +11,10 @@ the MTA to apply to the message- for example to pass, reject or add a header. Rspamd is designed to process hundreds of messages per second simultaneously and has a number of features available. +You can watch the following [introduction video](https://www.youtube.com/watch?v=_fl9i-az_Q0) from the [FOSDEM-2016](http://fosdem.org) where I describe the main features of rspamd and explain why rspamd runs so fast. + +Rspamd is [packaged](https://rspamd.com/downloads) for the major Linux distributives and is also available via [FreeBSD ports](https://freshports.org/mail/rspamd) and NetBSD [pkgsrc](https://pkgsrc.org). + ## Spam filtering features Rspamd distribution contains a number of mail processing features, including such techniques as: @@ -57,11 +62,9 @@ web server or applications server to run web UI - you just need to run rspamd it * **Integration with MTA** - rspamd can work with the most popular mail transfer systems, such as postfix, exim or sendmail. For postfix and sendmail, there is an [`rmilter` project](https://github.com/vstakhov/rmilter), whilst for exim there are several solutions to work with rspamd. Should you require MTA integration then please consult with the [integration guide](https://rspamd.com/doc/integration.html). +* **Extensive LUA API** - rspamd ships with hundreds of [lua functions](https://rspamd.com/doc/lua) that are available to write own rules for efficient and targeted spam filtering. -* **Easy configuration** - rspamd uses [`UCL` language](https://github.com/vstakhov/libucl) for configuration. UCL is a simple and intuitive language that is focused on easy to read configuration files. -You have many choices to write your definitions, so use whatever you like (even a strict `JSON` would be OK). - -* **Dynamic tables** - rspamd allows to specify some data as `dynamic maps` that are checked in runtime with updating data when they are changed. Rspamd supports file and HTTP maps. +* **Dynamic tables** - rspamd allows to specify bulk lists as `dynamic maps` that are checked in runtime with updating data when they are changed. Rspamd supports file, HTTP and HTTPS maps. ## Performance @@ -82,8 +85,7 @@ expensive rules (rules with negative weights are always checked before other one simultaneously increasing the efficiency of shared DNS caches and other system resources. Moreover, event-driven system normally scales automatically and you won't need to do any tuning in the most of cases. -* **Threaded expressions and statistics** - rspamd allows to perform computation for resources intensive tasks -- such as regular expressions or statistics -- in separate threads pools which -allows to scale even more on modern multi-core systems. +* **Hyperscan regular expressions engine** - rspamd utilizes [hyperscan](https://01.org/hyperscan) engine to match multiple regular expressions at the same time. You can watch the following [presentation](https://highsecure.ru/rspamd-hyperscan.pdf) where the main benefits of hyperscan are described. * **Clever choice of data structures** - rspamd tries to use the optimal data structure for each task. For example it uses very efficient suffix tries for fast matching of a text against a set of multiple patterns. Or it uses radix bit trie for storing IP addresses information that provides O(1) access time complexity. |