It sounds like a lot of hacks to make it "fit" in appengine.

Can you tell me if you would have developed and maintained this in half of
the time if you had just 4 boxes running with 64gb of ram?


On Fri, Feb 28, 2014 at 2:19 PM, Brandon Wirtz <[email protected]> wrote:

> We just put out our Open Beta of Plexi Voice. A GoogleNow/Siri like
> Conversational Search product. Yes it is for Windows Phone. Yes, it uses
> Google AppEngine for all of its backend.
>
>
> http://www.windowsphone.com/en-us/store/app/plexivoice/9c09f697-657d-4613-ae67-7e787121d0a4
>
>
>
> The code is ours, full stack, written in Python. We aren't entirely
> converted to modules, but pretty close. We do some cross app calls, but try
> to do as much as possible as Modules.
>
> We'd move to doing everything in Modules but the cost of migrating data
> from one App to the other would be like $10k and it isn't worth it at this
> point.
>
>
>
> Several people in the past have asked about using Python's Natural
> Language Tool Kit on AppEngine. 2 years ago we did make a version that
> "fit" in an F4 instance, but we don't use that anymore, we have our own NLP
> Engine, that will run in an F1.
>
>
>
> For the most part all of our code runs in an F2. Some of our bigger things
> related to large dictionaries doesn't fit, so we run F2's instead of F1s.
>
> We average about 2000 instance hours a day.
>
> We have 2 Terabytes of DataStore.
>
> For our search engine we crawl about 2 Million pages a day of the Internet.
>
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