Search Results for "all to"

...It is built on top of popular docker solutions and includes Postgres database, Zebrunner Reporting, Jenkins Master/Slaves Nodes, Selenium Hub, Mobile Device Farm (MCloud), SonarQube, etc. All components are deployed under NGINX WebServer which can be configured in a fully secured environment. The Zebrunner CE repository: https://github.com/zebrunner/zebrunner

Java app. to utilise (waste) as much CPU as it can. The application allows the user to create multiple Java threads, each performing a CPU-intensive task tasks with a selectable memory footprint. The options let you 'thrash' the aspect you want.

MoccaCPU is a CPU stress testing tool written in Java. It uses the Monte-Carlo-Algorithm to calculate approximate values of π (Pi) during the test. Mutiple threads can be started to use the full capacity of all given CPU cores.

...Testers can write and organise their test cases the way the want to. It runs in the JVM as it is built using Groovy, and utilises the respected Webdriver framework. Check it out today! Please note: All Madcow 2.0 releases are housed here. For code and all issues please see github repository https://github.com/4impact/madcow/

...SAR is cumulative activity counters in the operating system. It is the most comprehensive command which helps to monitor performance of various Linux / Solaris subsystems (CPU, Memory, I/O, Disk, Network, etc) all in same log. This makes it difficult to analyze since every counter data is dumped into the log file. SarBox helps to analyze this log file and present data in graphical charts or text format. To collect sar statistics from an environment, use below syntax [user@host ~]# sar -A 30 2 > sar_linux.log “30 2” reports for every 30 seconds and total of 2 times, written in sar_linux.log.

Regulador de Temperatura de El Suri (GNU/GPL) Sólo para Linux, testeado en OpenSuSE 11.3 x64 con procesadores Turion X2 El Suri Temperature Control (GNU/GPL) Just for Linux, tested on OpenSuSE 11.3 x64 with Turion X2 processors

A opensource program to collect statistics and accounting information from MQ and store it into a database, which will be displayed to the end user in a visually attractive to manner to better analyze the performance of their environment.