In today's world, Silk Performer is a topic that has captured the attention of millions of people around the planet. Since its emergence, Silk Performer has caused a great impact in various areas, generating heated debates and conflicting opinions. Its relevance is undeniable, since its influence extends to fields as diverse as politics, technology, culture, science and society in general. Silk Performer has left a deep mark on recent history, challenging established paradigms and offering new perspectives on the challenges of the contemporary world. In this article, we will analyze the many facets of Silk Performer and explore its meaning in the current context.
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| Silk Performer | |
|---|---|
| Developer | OpenText |
| Stable release | 21.0
/ December 1, 2020[1] |
| Operating system | Microsoft Windows |
| Available in | English, Japanese, Chinese |
| Type | Load testing |
| License | Commercial proprietary software |
| Website | microfocus |
Silk Performer is a software performance testing tool that is used to test and ensure efficient performance across various platforms including web, mobile, and enterprise applications. The tool was originally developed by Segue Software, which was later acquired by Borland in 2006. Subsequently, Borland became a part of Micro Focus in 2009. Micro Focus was later acquired by OpenText in 2023.
The primary function of Silk Performer is to maintain consistent application performance and server uptime, especially during periods of peak user engagement. It is designed to identify performance issues through integrated diagnostics and provides trending reports for analysis."[citation needed]
Silk Performer supports major Web 2.0 environments like Adobe’s Flash/Flex, Microsoft Silverlight, and HTML/AJAX. Silk Performer also supports load testing Web applications at the protocol level (HTTP).
Silk Performer helps predict and prevent outages to future-proof business performance. Supports mobile web devices and cloud computing generation load through cloud technologies.[2][3]
Load testing is also made with the help of JMeter, LoadRunner, WebLoad, etc.[4]