Our app starts small maybe around 50 tables max, but may grow as more
features are being added. Planning to use load balancing and failover.
Since you use redis, can you give me a ballpark on the memory usage for the
amount of traffic you have? My concern is when the redis host runs out of
memory. I guess the infrastructure needs some elasticity in order to scale
as usage increases.

On Jul 20, 2017 11:18 AM, "Jim S" <[email protected]> wrote:

My philosophy is to not optimize until you need to.

That said, if you've got 500 tables in your app, you probably don't want to
use the web2py default table instantiation on every request.

Any idea what you're traffic will be like?  Are you going to load balance?

Our main app has over 150 tables and is load balanced so we only load the
tables we need for the request and we use redis for sessions.  Other than
that make sure you have a well-designed database and have the indices in
place where they can help with database requests.

-Jim


On Thursday, July 20, 2017 at 9:58:47 AM UTC-5, [email protected] wrote:
>
>
> There are several sections in the web2py documentation that showed some
> strategies to optimize the performance of web2py, i.e. using lazy table,
> memcache, etc...
>
> Should I incorporate some of these strategies on a new deployment of
> web2py, or should I just stick with the standard configuration and optimize
> only when performance becomes an issue?
>
> Thanks!
> CD
>
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