Re: [qubes-users] Is it possible to run browser and other "chatty" applications as dedicated users in appvm?

2017-01-30 Thread Garrett Robinson
On 01/30/2017 11:21 AM, Jane Jok wrote:

> I know that Qubes security model doesn't rely on users system for security, 
> but combined with iptables, this could prevent traffic leaks when running 
> certain "wonky" VPN configs (for instance, ipsec based VPNs where a tun 
> device is absent) by straight up disallowing a certain user from 
> communicating over anything other than the VPN link.
Hm, this sound like you're running a VPN in your AppVM. Are you? If so,
a better solution (that can easily achieve your goal of preventing
leaks, albeit for an entire VM instead of a specific user of a VM) is to
use a ProxyVM, as documented here: https://www.qubes-os.org/doc/vpn/.

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Re: [qubes-users] Slow performance of Docker containers in AppVMs

2017-01-23 Thread Garrett Robinson
On 01/23/2017 06:40 PM, Marek Marczykowski-Górecki wrote:
> Try placing /var/lib/docker in /rw using bind-dirs[1]. Something like
> this:
>
> $ cat /rw/config/qubes-bind-dirs.d/docker.conf
> binds+=( '/var/lib/docker' )
>
> [1] https://www.qubes-os.org/doc/bind-dirs/
>

Thanks for sharing bind-dirs, I hadn't come across that feature yet!
However, do you think this would have different /performance/
characteristics over just using a StandaloneVM (which I have tried, and
which did not improve matters noticeably?)

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Re: [qubes-users] Re: Slow performance of Docker containers in AppVMs

2017-01-23 Thread Garrett Robinson
On 01/23/2017 06:17 PM, Grzesiek Chodzicki wrote:

> Have You tried using StandaloneVMs to host Docker? StandaloneVMs don't use 
> copy-on-write afaik so it should be at least a little faster.

Great suggestion! Unfortunately, I just tried using a StandaloneVM and
there was no noticeable performance improvement :(

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[qubes-users] Slow performance of Docker containers in AppVMs

2017-01-23 Thread Garrett Robinson
I am working on transitioning my day-to-day software development work to
Qubes. The primary challenge that I face is widespread use of Vagrant
for provisioning development environments. I am aware of the challenges
and concerns around hacking Qubes to achieve nested virtualization, so I
am trying to avoid going down that road.

A potential alternative is to use Docker, because there are no inherent
issues with using Linux containers inside virtual machines. Vagrant
supports using Docker as a "provider," so this seems like a viable
solution that could allow me to use my existing Vagrant-based
development environments on Qubes with only minor modifications.

I set up a new TemplateVM (based on Fedora 24) and AppVM to experiment
with setting up a Vagrant+Docker-based development environment. It was
surprisingly easy; however, after some initial testing, I realized an
unfortunate truth: operations inside the Docker container are *very
slow* - so slow as to create an unacceptable level of overhead for
day-to-day development work.

The slowdown appears to be due to slow disk IO. Running htop shows that
processes in the container have status "D", meaning "disk sleep
(uninterruptible)", for long periods of time. I tried switching the
Docker storage backend to "overlay" instead of the Fedora default of
devicemapper with loopback devices, which is a well-known technique for
improving Docker performance on Fedora. This was an improvement, based
on my experience as well as some simple dd-based IO benchmarks, but
overall performance is still much too slow--borderline unusable.

My gut feeling is that this is due to the combination of Qubes' overlay
filesystem with Docker's overlay filesystem - I imagine that nesting COW
filesystems is naturally a prescription for degraded performance.
Unfortunately, I do not know enough about Qubes/Docker/filesystems to
know of the best way to test this hypothesis.
My questions for the list are:

1. Is anybody else successfully using Vagrant and/or Docker on Qubes? Do
you have any tips/tricks to share?
2. Does anybody know or have any alternative theories as to what might
be causing these performance problems? 3. Even better: does anybody have
good advice for how to experimentally analyze these problems? Good ideas
for how to analyze the source of the slowdown, ideas for benchmarks,
useful analysis tools or techniques, etc.?

I have some notes on my experience and a Docker environment for basic IO
benchmarking, which I am happy to share if anybody's interested.

Thanks,
Garrett

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