On Thu, Dec 15, 2011 at 4:27 AM, Alan Xing <[email protected]> wrote:
> Yes, we are still using the M/S datastore. We feel that we are not offering
> mission critical services. These services don't require the HRD level
> availability. HRD db read/write/store all costs more.

What do you mean? The dollar cost for HRD is the same as MS.

>I know we could save
> some CPU hours by using Python 2.7 concurrency feature if we move over to
> HRD. There is loss and there is gain. Overall, we don't see our cost will
> reduce by moving M/S to HRD. That is why we are reluctant to make the move.
>
> I have always wondered why GAE doesn't extend Python 2.7 support to M/S. It
> doesn't seem there is any particular technical blocker. Maybe I'm wrong.
>
> In this random latency case, I again wonder why GAE doesn't plan to fix for
> M/S servers.

We do have a fix - the HRD :-) Seriously, to make MS more consistent
and reliable, you'd need to synchronously replicate the data across
machines and data centers and that is exactly what MRD.

Cheers,
Brian

>
> Is the plan to completely phase out M/S servers in some near future?
>
> On Wed, Dec 14, 2011 at 1:27 AM, Kenneth <[email protected]>
> wrote:
>>
>> Are you using the old MS datastore or the HR datastore? If you're using MS
>> then pretty much anything to do with the datastore is totally random, so
>> expect random latency increases which result in higher instance counts and
>> thus higher cost to you, randomly of course. Google will not be fixing these
>> so move to the hr datastore when you can.
>>
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