|Buy WotD Stuff!!|
popular Wiki of the Day Episode 1
For current episodes, or for the rest of the Wiki of the Day family of podcasts go here.
|Episode 2 →|
Thu, 2017-May-04 13:42 UTC
Length - 2:05
Welcome to popular Wiki of the Day where we read the summary of a popular Wikipedia page every day.
With 891,598 views on Wednesday, 03 May 2017 our article of the day is Load testing.
Load testing is the process of putting demand on a software system or computing device and measuring its response. Load testing is performed to determine a system's behavior under both normal and anticipated peak load conditions. It helps to identify the maximum operating capacity of an application as well as any bottlenecks and determine which element is causing degradation. When the load placed on the system is raised beyond normal usage patterns to test the system's response at unusually high or peak loads, it is known as stress testing. The load is usually so great that error conditions are the expected result, but there is no clear boundary when an activity ceases to be a load test and becomes a stress test.
The term "load testing" is often used synonymously with concurrency testing, software performance testing, reliability testing, and volume testing. All of these are types of non-functional testing that are part of functionality testing used to validate suitability for use of any given software.
This recording reflects the Wikipedia text as of 13:42 UTC on Thursday, 04 May 2017.
For the full current version of the article, go to http://en.wikipedia.org/wiki/Load_testing.
This podcast is produced by Abulsme Productions based on Wikipedia content and is released under a Creative Commons Attribution-ShareAlike License.
Abulsme Productions also produces Curmudgeon's Corner, a weekly current events podcast where the hosts discuss whatever is hot in the news each week. Check it out in your podcast player of choice.
This has been Kendra. Thank you for listening to popular Wiki of the Day. If you enjoyed this podcast, you can find more like this at wikioftheday.com. Subscribe and let your friends know too!
Page cached at 2018-07-18 07:32:48 UTC
Original calculation time was 0.3868 seconds
Page displayed at 2018-07-19 00:11:19 UTC
Page generated in 0.0005 seconds