[Lilug] AWS, et al, for big data
John Cholewa
jcholewa at gmail.com
Tue Jun 13 19:44:39 PDT 2017
...scratch that, found the AWS calculator. Turns out that my google
searches were just a bit too complex, and I just needed to search for
"AWS calculator"!
On Tue, Jun 13, 2017 at 10:43 PM, John Cholewa <jcholewa at gmail.com> wrote:
> I haven't seen the calculators yet. If you have a link to any of
> them, it'd probably help speed me up.
>
> And I definitely have already gone through the pain of migrating
> dozens of terabytes from server to server. Even on a LAN it can be an
> arduous process!
>
> On Tue, Jun 13, 2017 at 10:21 PM, Joe Goldberg <joehgoldberg at gmail.com> wrote:
>> Both Amazon and Google have pricing calculators. Basically you are paying for compute, storage and network. If you have a good handle on those 3 metrics, you should be able to get a decent pricing estimate.
>>
>> I am not too familiar with Google pricing but in AWS you can get nice discounts for 1-3 year commits and even more if you prepay part or all of the fee.
>>
>> Also don’t discount Microsoft Azure. They are very feature competitive with AWS and probably more advanced than Google. They also give extreme discounts to educational and healthcare related institutions.
>>
>> Now moving that amount of data to the cloud will be a challenge. I am sure you will want to do a local replication and then ship it to them and then replicate the delta.
>>
>> Joe
>>
>>
>> On 6/13/17, 9:43 PM, "Lilug on behalf of John Cholewa" <lilug-bounces at lists.lilug.org on behalf of jcholewa at gmail.com> wrote:
>>
>> Blast it, I wish I could get to a meeting, as this would be a great
>> thing to chat about with a bunch of people face to face, but the best
>> I can do at the moment is ask on the list....
>>
>> I'm managing a 200-core research cluster with a quarter petabyte of
>> storage capacity -- it's about a third full but may be ramping up
>> pretty quickly over the next couple years. My scientists have been
>> wondering about throwing all our data into the cloud in order to avoid
>> ongoing dangers involved with storing server hardware locally and
>> ongoing upfront costs. While I suspect that throwing 85+ TB onto a
>> VPS with massive guaranteed compute resources would be prohibitively
>> expensive by possibly an order of magnitude above what they're
>> expecting, I've been bitten by the recon bug and want to find some
>> hard numbers.
>>
>> Are there any good resources online that might help me figure out what
>> the ballpark costs would be based on relatively arbitrary variable of
>> storage, bandwidth, cpu, and memory availability? I plan to contact
>> AWS and the Google Cloud folk to get some sort of basic quote that I
>> can pass along, but it'd be nice if there's some guidance I can look
>> into before actually contacting salespersons (especially since I'm not
>> the one who'd be making final purchase decisions in this case).
>> _______________________________________________
>> Lilug mailing list
>> Lilug at lists.lilug.org
>> http://lists.lilug.org/listinfo.cgi/lilug-lilug.org
>>
>>
>>
>> _______________________________________________
>> Lilug mailing list
>> Lilug at lists.lilug.org
>> http://lists.lilug.org/listinfo.cgi/lilug-lilug.org
More information about the Lilug
mailing list