Edited by Nicolas HAHN < hahnn@x-itools.com > / < hahnn@erios.org >
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To start, it's important to understand the way the ELSE is running, how all components are integrated together.
In this section, we discuss about two big pictures: one considering a standalone, unique Linux server where everything is installed (suitable for very small or home installations), and the other considering a distributed ELSE environment, over several servers having dedicated roles.
Here, we consider that all components making an ELSE system, are installed on a unique Linux server (meaning Windows for Exchange server is installed on a VM running on the Linux host). For example, this shows the way the ELSE Virtual Machine, made for demonstration purpose, is designed.

Big picture: all in one ELSE integrated environment
It seems complicated? Not really...
Here are explanations with simple steps:
So, in its simplest expression, the ELSE environment can be described like this if you don't have Exchange servers nor using a Postfix Policy Server like the GreyLSE:

Big picture: the most basic ELSE environment
Here, we suppose the ELSE environment is an ISP one. We have several servers, each of them providing a specific functionality or service.

Big picture: a distributed ELSE integrated environment
In this architecture, we can have a lot of Postfix and/or Exchange servers, as Virtual machines for example. There is a dedicated anti-virus/anti-spam server (or several of them). The ELSE system is installed on three servers: the ELSE backend, the ELSE frontend and a dedicated GreyLSE instance. The GreyLSE instance can also be installed in the ELSE backend to maximize database throughput performances.
All logs generated by messaging servers are sent to the ELSE backend via RSyslog RELP. Then the Rsyslog installed on the backend send the logs to the PostgreSQL database using several database connections to maximize throughput.
In this kind of configuration the ELSE backend, that is the heart of the system, is a huge physical server (in term of RAM, CPU cores and I/O), able to process several millions of e-mails every day.
It's highly scalable in the way additional Postfix servers, anti-virus/anti-spam servers (Amavis for instance), GreyLSE servers and Front-end Servers can be added to absorb the load.
Database scalability is accomplished by adding more CPU cores to the backend server, and by insuring there is no issue from the point of view of the I/Os.
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