Neocortix Tutorial

In this tutorial, we will show you how to use Neocortix Cloud Services Scalable Compute to run a distributed LoadTest batch job, using a BlazeMeter Taurus client.

First, please follow the steps in the tutorial Setting Up For Batch Jobs. After completion of the initial setup, you will have a directory with examples,

~/ncsexamples

In the subdirectory

~/ncsexamples/batchMode

you will find the runBatchTaurus.py command. This script will create a set of instances running on mobile devices, one instance for each load generator. In the default example provided, we ask for 6 successful instances:

startFrame = 1,
endFrame = 6,
nWorkers = 10,

By setting

nWorkers = 10

, we slightly over-allocate instances to allow for some fraction to fail.

It will command the instances to install Taurus, and then run Taurus with a short (90 seconds) and simple test script

./taurusWorker/script.js

to send http requests to the target URL (currently

https://loadtest-target.neocortix.com

def frameCmd( self, frameNum ):
    configFileName = 'test.yml'  # substitute your own file name here (must be in taurusWorker dir)
    cmd = 'cd taurusWorker && ~/.local/bin/bzt -o settings.artifacts-dir=~/artifacts_%03d %s' % (
        frameNum, configFileName
    )
    return cmd

The output of each instance will be a .csv file

worker_<n>.csv

containing request response timing information for each worker. The master will create several image files

worldMap.png

deliveredLoad.png

responseTimesByRegion.png

, and then terminate the instances.

To run a longer ramped Taurus load test, for 500 seconds with 30 devices, please edit

runBatchTaurus.py

and set

timeLimit = 80*60, instTimeLimit = 14*60, frameTimeLimit = 14*60, endFrame = 30, nWorkers = 54

, and then in the

FrameCmd

please replace

test.yml

with

test_RampLong.yml

, and re-run

python3 ./runBatchTaurus.py

Here are example outputs:

Example Command

Running a Longer Ramped Load Test