Siege
Siege
http://www.joedog.org/
Siege is a free and open source regression test and benchmark utility that lets Web designers measure the performance of their code under a heavy load of hits. 'Siege' lets the user hit a server with an adjustable number of concurrent users, thus placing the server "under siege." It can stress test a single URL with a user defined number of simulated users, or it can read many URLs into memory and stress them simultaneously. The program reports the total number of hits recorded, bytes transferred, response time, concurrency, and return status. Most features are configurable with command line options, which also include default values to minimize the complexity of the programs's invocation.
Documentation
User manual available from http://www.joedog.org/siege/docs/manual.shtml
Download
version 2.63b3
(beta)
released on 20 May 2005
Categories
Licensing
| License | Verified by | Verified on | Notes |
|---|---|---|---|
| GPLv2 | Janet Casey | 17 January 2001 |
Leaders and contributors
| Contact(s) | Role |
|---|---|
| Jeffrey Fulmer | Maintainer |
|
| Contributor |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Bug Tracking,Developer,Support | Homepage | http://www.joedog.org/contact/author.shtml |
Software prerequisites
| Kind | Description |
|---|---|
| Required to use | Perl |
| Required to build | autoconf |
| Source requirement | openssl (to support https protocol) |
This entry (in part or in whole) was last reviewed on 22 April 2005.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software described in this text has its own copyright notice and license, which can usually be found in the distribution itself.