Nice analysis.



Robert






On Thu, May 12, 2011 at 18:41, Mike Lawrence <[email protected]> wrote:
> reran the Jmeter volume tests to get QPS data...
>    1.5.0 GAE SDK. 1000 user threads, each doing 100 web page requests
>     that issue a couple of backend datastore reads with sessions enabled:
>
> - without multithreading
>    - nodes: 40
>    - average response time: 1998 ms
>    - QPS: 6.745
>    - Average Latency: 103.9 ms
>    - Average Memory: 61.2 MBytes
>
> - with multi threading
>    - nodes: 8
>    - average response time: 962 ms
>    - QPS: 45.333
>    - Average Latency: 148.1 ms
>    - Average Memory: 71.3 MBytes
>
> Bottom Line: For my application (Java/Stripes/Slim3), Multi-treading is
> twice as fast;
>    Under the new pricing model, multi-threading is 5 times cheaper (8 nodes
> instead of 40 nodes).
> Sincerely,  Mike Lawrence
>
> On Thu, May 12, 2011 at 3:46 AM, Jeff Schnitzer <[email protected]> wrote:
>>
>> This is really neat, thanks for doing this.
>>
>> Did you track the peak average QPS per instance during this test?  I'm
>> very curious to know what kind of throughput we can expect for a
>> (threaded) java instance.
>>
>> Thanks,
>> Jeff
>>
>> On Wed, May 11, 2011 at 8:02 PM, Mike Lawrence <[email protected]>
>> wrote:
>> > here are the jmeter print screens
>> >
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