No problem, I'm trying cut down on cost. We're currently using a dedicated
model which works for us on a technical level but is expensive (within
budget but still expensive).

We are experiencing weird spikes in evictions but I think that is the
result of developers abusing the service.

Tbh I don't know what to make of the evictions yet. I'm gong to dig into it
on Monday though.

On Aug 27, 2016 1:55 AM, "Ripduman Sohan" <[email protected]> wrote:

>
>> On Aug 27, 2016 1:46 AM, "dormando" <[email protected]> wrote:
>>
>>> >
>>> > Thank you for the tips guys!
>>> >
>>> > The limiting factor for us is actually memory utilization. We are
>>> using the default configuration on sizable ec2 nodes and pulling only like
>>> 20k qps per node. Which is fine
>>> > because we need to shard the key set over x servers to handle the mem
>>> req (30G) per server.
>>> >
>>> > I should have looked into that before posting.
>>> >
>>> > I am really curious about network saturation though. 200k gets at 1mb
>>> per get is a lot of traffic... how can you hit that mark without saturation?
>>>
>>> Most people's keys are a lot smaller. In multiget tests with 40 byte keys
>>> I can pull 20 million+ keys/sec out of the server. probably less than
>>> 10gbps at that rate too. Tends to cap between 600k and 800k/s if you need
>>> to do a full roundtrip per key fetch. limited by the NIC. Lots of tuning
>>> required to get around that.
>>>
>>>
> I think (but may be wrong) the 200K TPS result is based on 1K values.
> Dormando should be able to correct me.
>
> 20K TPS does seem a little low though.  If you're bound by memory set size
> have you thought of the cost/tradeoff benefits of using dedicated servers
> for your memcache?
> I'm quite interested to find out more about what you're trying to
> optimise.  Is it minimising number of servers, maximising query rate, both,
> none, etc?
>
> Feel free to reach out directly if you can't share this publicly.
>
>
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