From the Canyon Edge -- :-Dustin
Showing posts with label Ubuntu-Core. Show all posts
Showing posts with label Ubuntu-Core. Show all posts

Monday, September 18, 2017

Results of the Ubuntu Desktop Applications Survey


I had the distinct honor to deliver the closing keynote of the UbuCon Europe conference in Paris a few weeks ago.  First off -- what a beautiful conference and venue!  Kudos to the organizers who really put together a truly remarkable event.  And many thanks to the gentleman (Elias?) who brought me a bottle of his family's favorite champagne, as a gift on Day 2 :-)  I should give more talks in France!

In my keynote, I presented the results of the Ubuntu 18.04 LTS Default Desktops Applications Survey, which was discussed at length on HackerNews, Reddit, and Slashdot.  With the help of the Ubuntu Desktop team (led by Will Cooke), we processed over 15,000 survey responses and in this presentation, I discussed some of the insights of the data.

The team is now hard at work evaluating many of the suggested applications, for those of you that aren't into the all-Emacs spin of Ubuntu ;-)

Moreover, we're also investigating a potential approach to make the Ubuntu Desktop experience perhaps a bit like those Choose-Your-Own-Adventure books we loved when we were kids, where users have the opportunity to select each of their prefer applications (or stick with the distro default) for a handful of categories, during installation.

Marius Quabeck recorded the session and published the audio and video of the presentation here on YouTube:


You can download the slides here, or peruse them below:


Cheers,
Dustin

Monday, June 20, 2016

HOWTO: Classic, apt-based Ubuntu 16.04 LTS Server on the rpi2!

Classic Ubuntu 16.04 LTS, on an rpi2
Hopefully by now you're well aware of Ubuntu Core -- the snappiest way to run Ubuntu on a Raspberry Pi...

But have you ever wanted to run classic (apt/deb) Ubuntu Server on a RaspberryPi2?


Well, you're in luck!  Follow these instructions, and you'll be up in running in minutes!

First, download the released image (214MB):

$ wget http://cdimage.ubuntu.com/releases/16.04/release/ubuntu-16.04-preinstalled-server-armhf+raspi2.img.xz

Next, uncompress it:

$ unxz *xz

Now, write it to a microSD card using dd.  I'm using the card reader built into my Thinkpad, but you might use a USB adapter.  You'll need to figure out the block device of your card, and perhaps unmount it, if necessary.  Then, you can write the image to disk:

$ sudo dd if=ubuntu-16.04-preinstalled-server-armhf+raspi2.img of=/dev/mmcblk0 bs=32M
$ sync

Now, pop it into your rpi2, and power it on.

If it's connected to a USB mouse and an HDMI monitor, then you'll land in a console where you can login with the username 'ubuntu' and password 'ubuntu', and then you'll be forced to choose a new password.

Assuming it has an Ethernet connection, it should DHCP.  You might need to check your router to determine what IP address it got, or it sets it's hostname to 'ubuntu'.  In my case, I could automatically resolve it on my network, at ubuntu.canyonedge, with IP address 10.0.0.113, and ssh to it:

$ ssh ubuntu@ubuntu.canyonedge

Again, you can login on first boot with password 'ubuntu' and you're required to choose a new password.

On first boot, it will automatically resize the filesystem to use all of the available space on the MicroSD card -- much nicer than having to resize2fs yourself in some offline mode!

Now, you're off and running.  Have fun with sudo, apt, byobu, lxd, docker, and everything else you'd expect to find on a classic Ubuntu server ;-)  Heck, you'll even find the snap command, where you'll be able to install snap packages, right on top of your classic Ubuntu Server!  And if that doesn't just bake your noodle...

Cheers,
Dustin

Tuesday, January 19, 2016

Data Driven Analysis: /tmp on tmpfs

tl;dr

  • Put /tmp on tmpfs and you'll improve your Linux system's I/O, reduce your carbon foot print and electricity usage, stretch the battery life of your laptop, extend the longevity of your SSDs, and provide stronger security.
  • In fact, we should do that by default on Ubuntu servers and cloud images.
  • Having tested 502 physical and virtual servers in production at Canonical, 96.6% of them could immediately fit all of /tmp in half of the free memory available and 99.2% could fit all of /tmp in (free memory + free swap).

Try /tmp on tmpfs Yourself

$ echo "tmpfs /tmp tmpfs rw,nosuid,nodev" | sudo tee -a /etc/fstab
$ sudo reboot

Background

In April 2009, I proposed putting /tmp on tmpfs (an in memory filesystem) on Ubuntu servers by default -- under certain conditions, like, well, having enough memory. The proposal was "approved", but got hung up for various reasons.  Now, again in 2016, I proposed the same improvement to Ubuntu here in a bug, and there's a lively discussion on the ubuntu-cloud and ubuntu-devel mailing lists.

The benefits of /tmp on tmpfs are:
  • Performance: reads, writes, and seeks are insanely fast in a tmpfs; as fast as accessing RAM
  • Security: data leaks to disk are prevented (especially when swap is disabled), and since /tmp is its own mount point, we should add the nosuid and nodev options (and motivated sysadmins could add noexec, if they desire).
  • Energy efficiency: disk wake-ups are avoided
  • Reliability: fewer NAND writes to SSD disks
In the interest of transparency, I'll summarize the downsides:
  • There's sometimes less space available in memory, than in your root filesystem where /tmp may traditionally reside
  • Writing to tmpfs could evict other information from memory to make space
You can learn more about Linux tmpfs here.

Not Exactly Uncharted Territory...

Fedora proposed and implemented this in Fedora 18 a few years ago, citing that Solaris has been doing this since 1994. I just installed Fedora 23 into a VM and confirmed that /tmp is a tmpfs in the default installation, and ArchLinux does the same. Debian debated doing so, in this thread, which starts with all the reasons not to put /tmp on a tmpfs; do make sure you read the whole thread, though, and digest both the pros and cons, as both are represented throughout the thread.

Full Data Treatment

In the current thread on ubuntu-cloud and ubuntu-devel, I was asked for some "real data"...

In fact, across the many debates for and against this feature in Ubuntu, Debian, Fedora, ArchLinux, and others, there is plenty of supposition, conjecture, guesswork, and presumption.  But seeing as we're talking about data, let's look at some real data!

Here's an analysis of a (non-exhaustive) set of 502 of Canonical's production servers that run Ubuntu.com, Launchpad.net, and hundreds of related services, including OpenStack, dozens of websites, code hosting, databases, and more. These servers sampled are slightly biased with more physical machines than virtual machines, but both are present in the survey, and a wide variety of uptime is represented, from less than a day of uptime, to 1306 days of uptime (with live patched kernels, of course).  Note that this is not an exhaustive survey of all servers at Canonical.

I humbly invite further study and analysis of the raw, tab-separated data, which you can find at:
The column headers are:
  • Column 1: The host names have been anonymized to sequential index numbers
  • Column 2: `du -s /tmp` disk usage of /tmp as of 2016-01-17 (ie, this is one snapshot in time)
  • Column 3-8: The output of the `free` command, memory in KB for each server
  • Column 9-11: The output of the `free` command, sway in KB for each server
  • Column 12: The number of inodes in /tmp
I have imported it into a Google Spreadsheet to do some data treatment. You're welcome to do the same, or use the spreadsheet of your choice.

For the numbers below, 1 MB = 1000 KB, and 1 GB = 1000 MB, per Wikipedia. (Let's argue MB and MiB elsewhere, shall we?)  The mean is the arithmetic average.  The median is the middle value in a sorted list of numbers.  The mode is the number that occurs most often.  If you're confused, this article might help.  All calculations are accurate to at least 2 significant digits.

Statistical summary of /tmp usage:

  • Max: 101 GB
  • Min: 4.0 KB
  • Mean: 453 MB
  • Median: 16 KB
  • Mode: 4.0 KB
Looking at all 502 servers, there are two extreme outliers in terms of /tmp usage. One server has 101 GB of data in /tmp, and the other has 42 GB. The latter is a very noisy django.log. There are 4 more severs using between 10 GB and 12 GB of /tmp. The remaining 496 severs surveyed (98.8%) are using less than 4.8 GB of /tmp. In fact, 483 of the servers surveyed (96.2%) use less than 1 GB of /tmp. 454 of the servers surveyed (90.4%) use less than 100 MB of /tmp. 414 of the servers surveyed (82.5%) use less than 10 MB of /tmp. And actually, 370 of the servers surveyed (73.7%) -- the overwhelming majority -- use less than 1MB of /tmp.

Statistical summary of total memory available:

  • Max: 255 GB
  • Min: 1.0 GB
  • Mean: 24 GB
  • Median: 10.2 GB
  • Mode: 4.1 GB
All of the machines surveyed (100%) have at least 1 GB of RAM.  495 of the machines surveyed (98.6%) have at least 2GB of RAM.   437 of the machines surveyed (87%) have at least 4 GB of RAM.   255 of the machines surveyed (50.8%) have at least 10GB of RAM.    157 of the machines surveyed (31.3%) have more than 24 GB of RAM.  74 of the machines surveyed (14.7%) have at least 64 GB of RAM.

Statistical summary of total swap available:

  • Max: 201 GB
  • Min: 0.0 KB
  • Mean: 13 GB
  • Median: 6.3 GB
  • Mode: 2.96 GB
485 of the machines surveyed (96.6%) have at least some swap enabled, while 17 of the machines surveyed (3.4%) have zero swap configured. One of these swap-less machines is using 415 MB of /tmp; that machine happens to have 32 GB of RAM. All of the rest of the swap-less machines are using between 4 KB and 52 KB (inconsequential) /tmp, and have between 2 GB and 28 GB of RAM.  5 machines (1.0%) have over 100 GB of swap space.

Statistical summary of swap usage:

  • Max: 19 GB
  • Min: 0.0 KB
  • Mean: 657 MB
  • Median: 18 MB
  • Mode: 0.0 KB
476 of the machines surveyed (94.8%) are using less than 4 GB of swap. 463 of the machines surveyed (92.2%) are using less than 1 GB of swap. And 366 of the machines surveyed (72.9%) are using less than 100 MB of swap.  There are 18 "swappy" machines (3.6%), using 10 GB or more swap.

Modeling /tmp on tmpfs usage

Next, I took the total memory (RAM) in each machine, and divided it in half which is the default allocation to /tmp on tmpfs, and subtracted the total /tmp usage on each system, to determine "if" all of that system's /tmp could actually fit into its tmpfs using free memory alone (ie, without swap or without evicting anything from memory).

485 of the machines surveyed (96.6%) could store all of their /tmp in a tmpfs, in free memory alone -- i.e. without evicting anything from cache.

Now, if we take each machine, and sum each system's "Free memory" and "Free swap", and check its /tmp usage, we'll see that 498 of the systems surveyed (99.2%) could store the entire contents of /tmp in tmpfs free memory + swap available. The remaining 4 are our extreme outliers identified earlier, with /tmp usages of [101 GB, 42 GB, 13 GB, 10 GB].

Performance of tmpfs versus ext4-on-SSD

Finally, let's look at some raw (albeit rough) read and write performance numbers, using a simple dd model.

My /tmp is on a tmpfs:
kirkland@x250:/tmp⟫ df -h .
Filesystem      Size  Used Avail Use% Mounted on
tmpfs           7.7G  2.6M  7.7G   1% /tmp

Let's write 2 GB of data:
kirkland@x250:/tmp⟫ dd if=/dev/zero of=/tmp/zero bs=2G count=1
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 1.56469 s, 1.4 GB/s

And let's write it completely synchronously:
kirkland@x250:/tmp⟫ dd if=/dev/zero of=./zero bs=2G count=1 oflag=dsync
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 2.47235 s, 869 MB/s

Let's try the same thing to my Intel SSD:
kirkland@x250:/local⟫ df -h .
Filesystem      Size  Used Avail Use% Mounted on
/dev/dm-0       217G  106G  100G  52% /

And write 2 GB of data:
kirkland@x250:/local⟫ dd if=/dev/zero of=./zero bs=2G count=1
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 7.52918 s, 285 MB/s

And let's redo it completely synchronously:
kirkland@x250:/local⟫ dd if=/dev/zero of=./zero bs=2G count=1 oflag=dsync
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 11.9599 s, 180 MB/s

Let's go back and read the tmpfs data:
kirkland@x250:~⟫ dd if=/tmp/zero of=/dev/null bs=2G count=1
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 1.94799 s, 1.1 GB/s

And let's read the SSD data:
kirkland@x250:~⟫ dd if=/local/zero of=/dev/null bs=2G count=1
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 2.55302 s, 841 MB/s

Now, let's create 10,000 small files (1 KB) in tmpfs:
kirkland@x250:/tmp/foo⟫ time for i in $(seq 1 10000); do dd if=/dev/zero of=$i bs=1K count=1 oflag=dsync ; done
real    0m15.518s
user    0m1.592s
sys     0m7.596s

And let's do the same on the SSD:
kirkland@x250:/local/foo⟫ time for i in $(seq 1 10000); do dd if=/dev/zero of=$i bs=1K count=1 oflag=dsync ; done
real    0m26.713s
user    0m2.928s
sys     0m7.540s

For better or worse, I don't have any spinning disks, so I couldn't repeat the tests there.

So on these rudimentary read/write tests via dd, I got 869 MB/s - 1.4 GB/s write to tmpfs and 1.1 GB/s read from tmps, and 180 MB/s - 285 MB/s write to SSD and 841 MB/s read from SSD.

Surely there are more scientific ways of measuring I/O to tmpfs and physical storage, but I'm confident that, by any measure, you'll find tmpfs extremely fast when tested against even the fastest disks and filesystems.

Summary

  • /tmp usage
    • 98.8% of the servers surveyed use less than 4.8 GB of /tmp
    • 96.2% use less than 1.0 GB of /tmp
    • 73.7% use less than 1.0 MB of /tmp
    • The mean/median/mode are [453 MB / 16 KB / 4 KB]
  • Total memory available
    • 98.6% of the servers surveyed have at least 2.0 GB of RAM
    • 88.0% have least 4.0 GB of RAM
    • 57.4% have at least 8.0 GB of RAM
    • The mean/median/mode are [24 GB / 10 GB / 4 GB]
  • Swap available
    • 96.6% of the servers surveyed have some swap space available
    • The mean/median/mode are [13 GB / 6.3 GB / 3 GB]
  • Swap used
    • 94.8% of the servers surveyed are using less than 4 GB of swap
    • 92.2% are using less than 1 GB of swap
    • 72.9% are using less than 100 MB of swap
    • The mean/median/mode are [657 MB / 18 MB / 0 KB]
  • Modeling /tmp on tmpfs
    • 96.6% of the machines surveyed could store all of the data they currently have stored in /tmp, in free memory alone, without evicting anything from cache
    • 99.2% of the machines surveyed could store all of the data they currently have stored in /tmp in free memory + free swap
    • 4 of the 502 machines surveyed (0.8%) would need special handling, reconfiguration, or more swap

Conclusion


  • Can /tmp be mounted as a tmpfs always, everywhere?
    • No, we did identify a few systems (4 out of 502 surveyed, 0.8% of total) consuming inordinately large amounts of data in /tmp (101 GB, 42 GB), and with insufficient available memory and/or swap.
    • But those were very much the exception, not the rule.  In fact, 96.6% of the systems surveyed could fit all of /tmp in half of the freely available memory in the system.
  • Is this the first time anyone has suggested or tried this as a Linux/UNIX system default?
    • Not even remotely.  Solaris has used tmpfs for /tmp for 22 years, and Fedora and ArchLinux for at least the last 4 years.
  • Is tmpfs really that much faster, more efficient, more secure?
    • Damn skippy.  Try it yourself!
:-Dustin

Thursday, January 22, 2015

snappy vs.apt-get Ubuntu Matrix


With the recent introduction of Snappy Ubuntu, there are now several different ways to extend and update (apt-get vs. snappy) multiple flavors of Ubuntu (Core, Desktop, and Server).

We've put together this matrix with a few examples of where we think Traditional Ubuntu (apt-get) and Transactional Ubuntu (snappy) might make sense in your environment.  Note that this is, of course, not a comprehensive list.

Ubuntu Core
Ubuntu Desktop
Ubuntu Server
Traditional apt-get
Minimal Docker and LXC images Desktop, Laptop, Personal Workstations Baremetal, MAAS, OpenStack, General Purpose Cloud Images
Transactional snappy
Minimal IoT Devices and Micro-Services Architecture Cloud Images Touch, Phones, Tablets Comfy, Human Developer Interaction (over SSH) in an atomically updated environment

I've presupposed a few of the questions you might ask, while you're digesting this new landscape...

Q: I'm looking for the smallest possible Ubuntu image that still supports apt-get...
A: You want our Traditional Ubuntu Core. This is often useful in building Docker and LXC containers.

Q: I'm building the next wearable IoT device/drone/robot, and perhaps deploying a fleet of atomically updated micro-services to the cloud...
A: You want Snappy Ubuntu Core.

Q: I want to install the best damn Linux on my laptop, desktop, or personal workstation, with industry best security practices, 30K+ freely available open source packages, freely available, with extensive support for hardware devices and proprietary add-ons...
A: You want the same Ubuntu Desktop that we've been shipping for 10+ years, on time, every time ;-)

Q: I want that same converged, tasteful Ubuntu experience on your personal, smart devices like my Phones and Tablets...
A: You want Ubuntu Touch, which is a very graphical human interface focused expression of Snappy Ubuntu.

Q: I'm deploying Linux onto bare metal servers at scale in the data center, perhaps building IaaS clouds using OpenStack or PaaS cloud using CloudFoundry? And I'm launching general purpose Linux server instances in public clouds (like AWS, Azure, or GCE) and private clouds...
A: You want the traditional apt-get Ubuntu Server.

Q: I'm developing and debugging applications, services, or frameworks for Snappy Ubuntu devices or cloud instances?
A: You want Comfy Ubuntu Server, which is a command line human interface extension of Snappy Ubuntu, with a number of conveniences and amenities (ssh, byobu, manpages, editors, etc.) that won't be typically included in the minimal Snappy Ubuntu Core build. [*Note that the Comfy images will be available very soon]

Cheers,
:-Dustin

Thursday, August 14, 2014

(Re-)Introducing JeOS -- Just Enough OS, aka Ubuntu Core


Lean.  Agile.  Svelte.  Lithe.  Free.

That's how we roll our operating systems in this modern, bountiful era of broadly deployed virtual machines, densely packed with system containers.

Linux, and more generally free software, is a natural fit in this model where massive scale is the norm.  And particularly Ubuntu (with its solid Debian base), is perfectly suited to this brave new world.

Introduced in Ubuntu 8.04 LTS (Hardy) -- November 19, 2007, in fact -- JeOS (pronounced, "juice") was the first of its kind.  An absolutely bare minimal variant of the Ubuntu Server, tailored to perfection for virtual machines and appliances.  Just enough OS.

Taken aback, I overheard a technical executive at a Fortune 50 company say this week:
"What ever happened to that Ubuntu JeOS thing?  We keep looking at CoreOS and Atomic, but what we really want is just a bare minimal Ubuntu server."
Somehow, somewhere along the line, an important message a got lost.  I hope we can correct that now...

JeOS has been here all along, in fact.  You've been able to deploy a daily, minimal Ubuntu image, all day, every single day for most of the the last decade.  Sure, it changed names to Ubuntu Core along the way, but it's still the same sleek little beloved ubuntu-minimal distribution.

"How minimal?", you ask...

63 MB compressed, to be precise.

Did you get that?

That's 63 MB, including a package management system, with one-line, apt-get access to over 30,000 freely available packages across the Ubuntu universe.

That's pretty darn small.  Much smaller than say, 165 MB or 268 MB (which, to be fair, includes a bit more of an operating system -- much closer to say the standard Ubuntu Cloud Image, which is a 176 MB root tarball, or with kernel at 243 MB).

"How useful could such a small image actually be, in practice?", you might ask...

Ask any Docker user, for starters.  Docker's base Ubuntu image has been downloaded over 775,260 to date.  And this image is built directly from the Ubuntu Core amd64 tarball.

Oh, and guess what else?  Ubuntu Core is available for more than just the amd64 architecture!  It's also available for i386, armhf, arm64, powerpc, and ppc64el.  Which is pretty cool, particularly for embedded systems.

So next time you're looking for just enough operating system, just look to the core.  Ubuntu Core.  There is truly no better starting point ;-)

Enjoy,
:-Dustin

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