HTTP Logging
Virtual Directory Server is not only limited to working with
the LDAP protocol, and can be used in conjunction with a variety of
other protocols. In fact, it is quite common to develop
cross-protocol solutions using this product. With the plethora of
web services that are appearing in the enterprise, many customers
that make use of Symlabs Virtual Directory Server also find
themselves using the HTTP capabilities built into the
product.
When developing a cross-protocol solution, it is useful to be able
to log the various interactions that take place within each
protocol for debugging purposes and also to get a clear idea of all
of the traffic moving through the proxy engine.
Furthermore, for auditing purposes, it is particularly useful to be
able to track each HTTP transaction that takes place within your
solution.
Symlabs Virtual Directory Server conveniently includes an HTTP
Log plugin that keeps track of each transaction that takes place
through the proxy engine. The HTTP Log plugin is a connection
logging facility offered by Symlabs Virtual Directory Server for
use within an automatic stage. Its functionality is similar to
Access Log plugin, in that it creates a line of log for each
different packet processed within the stage, but it also keeps
track of connection numbers so that finding the relation between a
request and its response can be done easily.
This HTTP log plugin also provides the option to configure which
types of operation you wish to include in the log. These options
are distinguished by presenting three categories, HTTP POST operations, HTTP GET operations, and HTTP results operations that will log
HTTP responses for each request type, or for responses.
As with all of the logging plugins, the HTTP Log plugin can be
configured to output its logging detail in a variety of ways that
can help facilitate log rotation or so that each log file is dated
according to its creation, so that it is easy to search for a log
file that relates to a particular date.
Since the logging format is known in advance, it is fairly easy
to build scripts to analyze the information that it stores. It can
also be used to study the behavior of client applications and to
measure average response times for different operations.
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