What is Mercury LoadRunner?
Mercury LoadRunner is an automated performance and load test tool from Hewlett-Packard (HP). An industry standard, Mercury LoadRunner, is used to predict the behavior and performance of an application before it goes live. It is an enterprise-class solution for analyzing system behavior and system performance.
Mercury LoadRunner enables end-to-end system performance to be evaluated prior to the actual deployment of the client environment, verifies that product performance meets client specifications, and identifies or isolates performance bottlenecks during development. LoadRunner was originally developed by Mercury Interactive, which was acquired by HP in November 2006.
Mercury LoadRunner tests an application by applying consistent, repetitive, and measurable loads. System behavior under load is recorded and the data is analyzed to identify scalability issues that may affect actual users of the client environment. The tool verifies that the Service Level Agreement (SLA) can be met by transferring the load to the system and monitoring the response time of the end users involved in important business processes and transactions.
The Mercury LoadRunner tool includes the following:
Performance monitors or agents that monitor application path events and quickly separate system bottlenecks with minimal system impact.
An analytics engine that provides a single view of end user system and code level performance data.
An autocorrelation engine that scans all end-user systems, analyzes data and provides a top 10 list of the most likely reasons for system behavior. This helps in solving performance and scalability issues.
The key features of Mercury LoadRunner include:
Reduced risk of deploying systems that do not meet a customer's business / performance needs.
Bestimmt die Systemkapazität für den business unter hoher Last und hilft, die Kosten für Hardware und Software zu reduzieren.
Helps you monitor SLAs before going live.
Reduces test cycle length and helps deliver best-in-class applications efficiently.
Reduces repair costs related to defects / faults by testing applications in the early stages of development.