Okay, is DataDog. Thought it was but first charts found on their web site 
didn’t show the legend.

> On 16 Mar 2016, at 1:36 PM, Graham Dumpleton <[email protected]> 
> wrote:
> 
> What is the monitoring system you are using? The UI looks familiar, but can’t 
> remember what system that is from.
> 
> How hard would it be for you to add a bit of Python code to the WSGI script 
> file for your application which starts a background thread that reports some 
> extra metrics on a periodic basis?
> 
> Also, the fact that it appears to be backlogged looks a bit like stuck 
> requests in the Python web application so causing an effect in the Apache 
> child worker processes as shown by your monitoring. The added metric I am 
> thinking of would confirm that.
> 
> A more brute force way of tracking down if requests are getting stuck is to 
> add to your WSGI script file:
> 
> http://modwsgi.readthedocs.org/en/develop/user-guides/debugging-techniques.html#extracting-python-stack-traces
>  
> <http://modwsgi.readthedocs.org/en/develop/user-guides/debugging-techniques.html#extracting-python-stack-traces>
> 
> That way when backlogging occurs and busy workers increases, can force 
> logging of what Python threads in web application is doing at that point. If 
> threads are stuck, will tell you where.
> 
> Graham
> 
>> On 16 Mar 2016, at 1:21 PM, [email protected] 
>> <mailto:[email protected]> wrote:
>> 
>> Clarifying on the first line - In our testing, our client is requesting at 3 
>> requests per second. There could be more, but it should not exceed 6.
>> 
>> The request handlers are waiting on a web request that is spawned to another 
>> server which then queries the database. The CPU load is so low it barely 
>> crosses 3% and that's at a high peak. We are typically below 1%.
>> 
>> Size of the request payload is small and is merely a simple query, though 
>> requests can vary in size and range from roughly 3KB to 100KB.  
>> 
>> Attached is a screenshot of our logging that is capturing busy/idle/queries 
>> on a timeline. Where the yellow line goes to zero and the workers start to 
>> increase is where we begin to see timeouts. The eventual dip after the peak 
>> is me bouncing the apache damon in order to get it back under some control.
>> 
>> On Tuesday, March 15, 2016 at 6:35:13 PM UTC-7, Graham Dumpleton wrote:
>> 
>>> On 16 Mar 2016, at 12:10 PM, [email protected] <> wrote:
>>> 
>>> I am hoping to gain some clarity here on our WSGI configuration since a lot 
>>> of the tuning seems to be heavily reliant on the application itself. 
>>> 
>>> Our setup
>>> Single load balancer (round robin)
>>> Two virtual servers with 16GB of RAM
>>> Python app ~100MB in memory per process
>>> Response times are longer as we broker calls, so it could be up to 1-2 
>>> seconds
>>> Running WSGI 4.4.2 on Ubuntu LTS 14 with Apache 2
>>> WSGI Daemon mode running (30 processes with 25 threads)
>>> KeepAlives are off
>>> WSGI Restrict embedded is on
>>> Using MPM event
>>> For Apache, we have the following:
>>> StartServers 30
>>> MinSpareThreads 40
>>> MaxSpareThreads 150
>>> ThreadsPerChild 25
>>> MaxRequestWorkers 600
>>> I have tried a number of different scenarios, but all of them generally 
>>> lead to the same problem. We are processing about 3 requests a second with 
>>> a steady number of worker threads and plenty of idle in place. After a few 
>>> minutes of sustained traffic, we eventually start timing out which then 
>>> leads to worker counts driving up until it's reached the MaxRequestWorkers. 
>>> Despite this, I am still able to issue requests and get responses, but it 
>>> ultimately leads to apache becoming unresponsive. 
>> 
>> Just to confirm. You say that you never go above 3 requests per second, but 
>> that at worst case those requests can take 2 seconds. Correct?
>> 
>> Are the request handlers predominantly waiting on backend database calls, or 
>> are they doing more CPU intensive work? What is the CPU load on the mod_wsgi 
>> daemon processes?
>> 
>> Also, what is the size of payloads, for requests and responses?
>> 
>> Graham
>> 
>> 
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>> <Screen Shot 2016-03-15 at 7.19.45 PM.png>
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