You are right the term 'professional' is rather poor. I meant that the 
service is expected to be deployed and be used as part of a company's 
services.

Thanks for your comments.

On Wednesday, December 16, 2015 at 5:32:21 PM UTC+2, Gary Cowell wrote:
>
> I'm using it to build REST services atop legacy data.
>
> So, it certainly can be used in a 'professional' way, whatever that means. 
> I find that DAL is useful, and JSON and REST are easy to implement and as 
> you say, can concentrate on the API rather than the nuts and bolts to a 
> great extent.
>
> If you know it and like it, why not use it?  Of course you will stress 
> test and measure, so you will have confidence that the solution will be 
> okay with your workload.
>
> Updates you will test on a test system of course, so no risk to 
> production. At least, no unknown risk at any rate.
>
> On Wednesday, 16 December 2015 15:02:38 UTC, desta wrote:
>>
>> I am thinking of using web2py to build a REST API project. I believe that 
>> features like authentication and authorization will save me a lot of 
>> development time and I will be able to focus on building the API. I already 
>> know that web2py is a great and reliable platform but I would like to hear 
>> your opinion whether web2py is suitable for a professional level API.
>>
>> I am wondering whether the overhead of using web2py as compared to using 
>> Tornado for example will cause me problems in terms of performance. Another 
>> thing that I consider is the updating. In one of my previous projects, a 
>> web2py update 'broke' the application and if it was live it would have 
>> caused me a long downtime.
>>
>> Thank you for reading and I am looking forward for your comments.
>>
>

-- 
Resources:
- http://web2py.com
- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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