[DOCKTESTERS] Amazon account

Brian O'Connor Brian.OConnor at oicr.on.ca
Tue Sep 20 09:42:57 EDT 2016


Hi Junjun,

Great to hear this! 

I would recommend against trying to make this a docker in docker.  It’s something to be avoided because it really causes problems running in various environments.

Maybe a well commented bash script?  I think the instructions are long but really we expect these workflows to run in a lot of different environments and it’s better to explain how it works so users can customize for their environment.

What do you all think?

Brian

> On Sep 19, 2016, at 11:02 PM, Junjun Zhang <junjun.zhang at oicr.on.ca> wrote:
> 
> Good news, both Miguel and myself have Sanger pipeline running on AWS and Collab respectively.
> 
> Here is the documentation on all steps we went through to get things set up: https://docs.google.com/document/d/1EPo2Wgh-WJz75GdykgTI1fpm89yIdoGGHAyVlJ9PbcA/edit
> 
> As you can see there are quite some steps to go through, does it make sense to build a docker image for setting up testing environment?
> 
> It's kind of like docker in docker, is that OK?
> 
> Junjun
> 
> 
> From: docktesters-bounces+junjun.zhang=oicr.on.ca at lists.icgc.org [docktesters-bounces+junjun.zhang=oicr.on.ca at lists.icgc.org] on behalf of Denis Yuen [Denis.Yuen at oicr.on.ca]
> Sent: Monday, September 19, 2016 3:39 PM
> To: Miguel Vazquez
> Cc: docktesters at lists.icgc.org
> Subject: Re: [DOCKTESTERS] Amazon account
> 
> Hi,
> 
> Quoting myself from an email since it is applicable here too
> 
> Hi,
> Sounds reasonable, the hardware requirements listed at https://github.com/ICGC-TCGA-PanCancer/CGP-Somatic-Docker#hardware-requirements match my recollection and a r3.4xlarge matches that handily in terms of RAM and CPU
> 
> The only thing I would check would be to make sure that the working directory (where you run Dockstore) is in a large 1TB volume. The workflow should be able to overwhelm 320 GB if that's all you have, causing it to crash.  
> 
> When we were running for Pan-cancer, we sometimes used lvm to merge all ephemeral drives on an AWS instance into one larger drive. 
> But for testing, it would probably be simpler just to use one large EBS volume. 
> 
> Denis Yuen
> Bioinformatics Software Developer
> 
> Ontario Institute for Cancer Research 
> MaRS Centre
> 661 University Avenue
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> From: docktesters-bounces+denis.yuen=oicr.on.ca at lists.icgc.org [docktesters-bounces+denis.yuen=oicr.on.ca at lists.icgc.org] on behalf of Miguel Vazquez [mikisvaz at gmail.com]
> Sent: September 19, 2016 3:26 PM
> To: Francis Ouellette
> Cc: docktesters at lists.icgc.org; Zhibin
> Subject: Re: [DOCKTESTERS] Amazon account
> 
> Thanks Francis.
> 
> BTW Brian and Junjun, I think I might not have enough disk space in the instance you got for me, gtdownload croaks:
> 
> Error:  The system *might* run out of disk space before all downloads are complete, Downloading will continue until less than 1.00 GB is available.
> 
> and does not seem to download anything.
> 
> I took the liberty to make a directory in /mn/, which has 95GB avai. but it does not seem to change things. Excuse my ignorance, but how big are these files?
> 
> Miguel
> 
> On Mon, Sep 19, 2016 at 9:22 PM, Francis Ouellette <francis at oicr.on.ca> wrote:
> Hi Miguel,
> 
> I’m CCing docktester .. I think Junjun or Brian will be best to answer this …
>  I think a bit more RAM would be OK, so could do: m4.10xlarge (10 CPU and 160 GB RAM).
> 
> Would that be good Brian?
> 
> @bffo
> 
> 
> -- 
> B.F. Francis Ouellette          http://oicr.on.ca/person/francis-ouellette    
> 
> 
> 
>> On Sep 19, 2016, at 3:09 PM, Zhibin <zhibin at gmail.com> wrote:
>> 
>> Jo Miguel,
>> 
>> I am not familiar with Sanger pipeline. You should launch instances based on the number of CPUs and memory you need.
>> 
>> Best,
>> 
>> Zhibin
>> 
>> On Mon, Sep 19, 2016 at 3:05 PM, Miguel Vazquez <mikisvaz at gmail.com> wrote:
>> Hello again,
>> 
>> What image will you suggest to run the Sanger pipeline? I'm not very used to AWS and I wouldn't want to burn through your credit accidentally. I was thinking of r3.4xlarge that has 16 cores, 122GB memmory and 1x320 (SSD), would that be a good choice?
>> 
>> Best
>> 
>> Miguel
>> 
>> On Mon, Sep 19, 2016 at 8:42 PM, Miguel Vazquez <mikisvaz at gmail.com> wrote:
>> Thanks Zhibin
>> Best regards 
>> Miguel 
> 
> 
> 
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