Re: Large scale Grinder test configuration

Marc Holden <[email protected]> Fri, 25 Mar 2016 12:42:00 +0000
Newsgroups gmane.comp.java.grinder.user
Message-ID <CADV_OVVSZ-mCfr=c=-XXeX=KnbL5b2jjzQ-mCAF6h4XY3X0-Og@mail.gmail.com>
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Hi Tom,

We have run over 40K VUs across 25 grinder agents successfully w/o
adjusting reportToConsole interval.

Depending on the size of the responses in the transactions, it is worth
while to get some good network/systems monitoring in place and coordinate
with the appropriate groups.

Thanks,

-Marc



On Thu, Mar 24, 2016 at 8:57 PM Darren Ball <[email protected]> wrote:

> Why not segregate your networks?  Do you have the option of multiple
> networks?  Have your agents drive tests on a private network, and your
> console and agent communication with the console on another?
> On Mar 24, 2016 2:56 PM, "Tom Vitez" <[email protected]> wrote:
>
>> Hi Grinder Users!
>>
>>
>>
>> I have been using Grinder successfully on a number of projects over the
>> past few years. My past tests have been relatively small in terms of vUs=
er
>> or thread count (i.e. < 500) but with high transaction rates (TPS). I ha=
ve
>> a need to run a test in the order of 30-40,000 vUsers so I need to sprea=
d
>> across many Grinder agent VM=E2=80=99s and tie them back to a single Gri=
nder
>> Console instance to consolidate the results.
>>
>>
>>
>> My questions are:
>>
>>
>>
>> Is are there any physical limits to the number of agents that can be
>> configured to a single Grinder console?
>>
>>
>>
>> What is the largest number of Grinder Agent=E2=80=99s you have configure=
d
>> successfully with a single Console instance?
>>
>>
>>
>> Any recommendations on value for grinder.reportToConsole.interval to
>> minimize network bandwidth without sacrificing performance metrics (don=
=E2=80=99t
>> want to rob network bandwidth from the application under test)?
>>
>>
>>
>> Kind Regards,
>>
>>
>>
>> Tom
>>
>>
>> ------------------------------------------------------------------------=
------
>> Transform Data into Opportunity.
>> Accelerate data analysis in your applications with
>> Intel Data Analytics Acceleration Library.
>> Click to learn more.
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>> _______________________________________________
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>>
>>
> -------------------------------------------------------------------------=
-----
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> Accelerate data analysis in your applications with
> Intel Data Analytics Acceleration Library.
> Click to learn more.
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<div dir=3D"ltr">Hi Tom,<div><br></div><div>We have run over 40K VUs across=
 25 grinder agents successfully w/o adjusting reportToConsole interval. =C2=
=A0</div><div><br></div><div>Depending on the size of the responses in the =
transactions, it is worth while to get some good network/systems monitoring=
 in place and coordinate with the appropriate groups.</div><div><br></div><=
div>Thanks,</div><div><br></div><div>-Marc</div><div><br></div><div><br></d=
iv><br><div class=3D"gmail_quote"><div dir=3D"ltr">On Thu, Mar 24, 2016 at =
8:57 PM Darren Ball &lt;<a href=3D"mailto:[email protected]" target=3D"=
_blank">[email protected]</a>&gt; wrote:<br></div><blockquote class=3D"=
gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-=
left:1ex"><p dir=3D"ltr">Why not segregate your networks?=C2=A0 Do you have=
 the option of multiple networks?=C2=A0 Have your agents drive tests on a p=
rivate network, and your console and agent communication with the console o=
n another?</p>
<div class=3D"gmail_quote">On Mar 24, 2016 2:56 PM, &quot;Tom Vitez&quot; &=
lt;<a href=3D"mailto:[email protected]" target=3D"_blank">TomVitez@boaweb=
.com</a>&gt; wrote:<br type=3D"attribution"><blockquote class=3D"gmail_quot=
e" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">





<div lang=3D"EN-CA" link=3D"#0563C1" vlink=3D"#954F72">
<div>
<p class=3D"MsoNormal">Hi Grinder Users!<u></u><u></u></p>
<p class=3D"MsoNormal"><u></u>=C2=A0<u></u></p>
<p class=3D"MsoNormal">I have been using Grinder successfully on a number o=
f projects over the past few years. My past tests have been relatively smal=
l in terms of vUser or thread count (i.e. &lt; 500) but with high transacti=
on rates (TPS). I have a need to run
 a test in the order of 30-40,000 vUsers so I need to spread across many Gr=
inder agent VM=E2=80=99s and tie them back to a single Grinder Console inst=
ance to consolidate the results.
<u></u><u></u></p>
<p class=3D"MsoNormal"><u></u>=C2=A0<u></u></p>
<p class=3D"MsoNormal">My questions are:<u></u><u></u></p>
<p class=3D"MsoNormal"><u></u>=C2=A0<u></u></p>
<p class=3D"MsoNormal">Is are there any physical limits to the number of ag=
ents that can be configured to a single Grinder console?
<u></u><u></u></p>
<p class=3D"MsoNormal"><u></u>=C2=A0<u></u></p>
<p class=3D"MsoNormal">What is the largest number of Grinder Agent=E2=80=99=
s you have configured successfully with a single Console instance?<u></u><u=
></u></p>
<p class=3D"MsoNormal"><u></u>=C2=A0<u></u></p>
<p class=3D"MsoNormal">Any recommendations on value for grinder.reportToCon=
sole.interval to minimize network bandwidth without sacrificing performance=
 metrics (don=E2=80=99t want to rob network bandwidth from the application =
under test)?
<u></u><u></u></p>
<p class=3D"MsoNormal"><u></u>=C2=A0<u></u></p>
<p class=3D"MsoNormal"><span>Kind Regards,<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span><u></u>=C2=A0<u></u></span></p>
<p class=3D"MsoNormal"><span>Tom<u></u><u></u></span></p>
</div>
</div>

<br>-----------------------------------------------------------------------=
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/grinder-use</a><br>
<br></blockquote></div>
---------------------------------------------------------------------------=
---<br>
Transform Data into Opportunity.<br>
Accelerate data analysis in your applications with<br>
Intel Data Analytics Acceleration Library.<br>
Click to learn more.<br>
<a href=3D"http://pubads.g.doubleclick.net/gampad/clk?id=3D278785351&amp;iu=
=3D/4140" rel=3D"noreferrer" target=3D"_blank">http://pubads.g.doubleclick.=
net/gampad/clk?id=3D278785351&amp;iu=3D/4140</a>___________________________=
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</blockquote></div></div>

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Transform Data into Opportunity.
Accelerate data analysis in your applications with
Intel Data Analytics Acceleration Library.
Click to learn more.
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