Are you able to share some of the results/insights from this? Particularly on 
Airflow’s internals of course.

Bolke

> On 27 Jun 2017, at 22:40, Alex Guziel <[email protected]> wrote:
> 
> Yeah, actually we have setup Newrelic for Airflow too at Airbnb, which
> gives decent insights into webserver perf. In terms of SQL queries, adding
> `echo=True` to the SQLAlchemy engine creation is pretty good for seeing
> which sql queries get created. I tried some Python profilers before but
> they weren't super helpful.
> 
> On Tue, Jun 27, 2017 at 1:27 PM, Maxime Beauchemin <
> [email protected]> wrote:
> 
>> Nice. It would be great if DAG parsing was faster, and some of the
>> endpoints on the website have grown really slow as you we've grown the
>> number of DAGs, and on the DAGs with large number of tasks.
>> 
>> I had the intuition that DAG parsing could be faster if operators
>> late-imported hooks (who themselves import external libs) but I have no
>> evidence or test to support it.
>> 
>> I'm sure there's tons of low hanging fruit and this type of tool should
>> make it really clear.
>> 
>> We've set up NewRelic (which seems similar as this tooling at first sight)
>> for Superset at Airbnb and it gave us great insight.
>> 
>> Max
>> 
>> On Tue, Jun 27, 2017 at 1:01 PM, Bolke de Bruin <[email protected]> wrote:
>> 
>>> Free version also there, maybe more integration testing and benchmarking.
>>> 
>>> https://stackimpact.com/pricing/ <https://stackimpact.com/pricing/>
>>> 
>>> B.
>>> 
>>>> On 27 Jun 2017, at 22:00, Chris Riccomini <[email protected]>
>> wrote:
>>>> 
>>>> Seems you have to pay?
>>>> 
>>>> On Tue, Jun 27, 2017 at 12:56 PM, Bolke de Bruin <[email protected]>
>>> wrote:
>>>> 
>>>>> Just saw this tool on hacker news:
>>>>> 
>>>>> https://github.com/stackimpact/stackimpact-python <
>> https://github.com/
>>>>> stackimpact/stackimpact-python>
>>>>> 
>>>>> Might be interesting for some profiling.
>>>>> 
>>>>> Bolke
>>> 
>>> 
>> 

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