One of these is called вЂњstressвЂќ and can stress the system in a number of ways. $ kill %1 %2 %3 %4ДЄnother way to create system stress involves using a tool that was specifically built to stress the system for you. If youвЂ™re unsure, use the jobs command to verify the job IDs. To stop the loops, issue a kill command like this one below вЂ“ assuming the job numbers are 1-4 as was shown earlier in this post.

In the output, you can see how the load averages increase and then start going down again once the loops have been ended. If you intend to run tests like this periodically, you can put the loop command into a script: #!/bin/bash In this case, the uptime command is run every 30 seconds: $ while true do uptime sleep 30 done To observe the effect on load averages, use a command like the one shown below.

Both the job numbers and process IDs are displayed. $ for i in 1 2 3 4 do while : do : done & done Typed on the command line, this command will start four endless loops in the background. for i in 1 2 3 4 do while : do : done & done You can increase the number of loops by adding digits or using a bash expression like В in place of '1 2 3 4'. In the command below, we kick off four endless loops. The results can easily be seen using the uptime or similar commands.

This technique burdens the CPUs by greatly increasing the load. This first technique involves running some loops on the command line and watching how they affect the system. ДЇortunately for those who need to be able to predict how a Linux system will react under stress, there are some helpful techniques you can employ and tools that you can use to make the process easier. If you need to predict how long applications might take to respond and what, if any, processes might fail or run slowly under a heavy load, doing the stress testing up front can be a very good idea. This kind of testing can help to ensure that a system is ready to 'go public'. Why would you ever want to stress your Linux system? Because sometimes you might want to know how a system will behave when itвЂ™s under a lot of pressure due to a large number of running processes, heavy network traffic, excessive memory use and so on.

Linux stress vs intel burn test