Search Results: "tar"

13 April 2016

Petter Reinholdtsen: I.F. Stone - an inspiration for us all

I first got to know I.F. Stone when I came across an article by Jon Schwarz on The Intercept about his extraordinary contribution to investigative journalism in USA. The article is about a new documentary in two parts (part one is 12 minutes and part two is 30 minutes), and I found both truly fascinating. It is amazing what he was able to find by digging up public sources and government papers. He documented lots of government abuse and cover ups, and I find his weekly news letters inspiring to read even today.
All governments are run by liars and nothing they say should be believed.
- I. F. Stone
His starting point was that reporters should not assume governments and corporations are telling the truth, but verify all their claims as much as possible. I wonder how many Norwegian reporters can be said to follow the principles of I. F. Stone. They are definitely in short supply. If you, like me half a year ago, have never heard of him, check him out.

Jonathan McDowell: Software in the Public Interest contributing members: Check your activity status!

That s a longer title than I d like, but I want to try and catch the attention of anyone who might have missed more directed notifications about this. If you re not an SPI contributing member there s probably nothing to see here Although I decided not to stand for re-election at the Software in the Public Interest (SPI) board elections last July, I haven t stopped my involvement with the organisation. In particular I ve spent some time working on an overhaul of the members website and rolling it out. One of the things this has enabled is implementation of 2009-11-04.jmd.1: Contributing membership expiry, by tracking activity in elections and providing an easy way for a member to indicate they consider themselves active even if they haven t voted. The plan is that this will run at some point after the completion of every board election. A first pass of cleanups was completed nearly a month ago, contacting all contributing members who d never been seen to vote and asking them to update their status if they were still active. A second round, of people who didn t vote in the last board election (in 2014), is currently under way. Affected members will have been emailed directly and there was a mail to spi-announce, but I m aware people often overlook these things or filter mail off somewhere that doesn t get read often. If you are an SPI Contributing member who considers themselves an active member I strongly recommend you login to the SPI Members Website and check the Last active date displayed is after 2014-07-14 (i.e. post the start of the last board election). If it s not, click on the Update link beside the date. The updated date will be shown once you ve done so. Why does pruning inactive members matter? The 2015 X.Org election results provide at least one indication of why ensuring you have an engaged membership is important - they failed to make a by-laws change that a vast majority of votes were in favour of, due to failing to make quorum. (If you re an X.org member, go vote!)

Jonathan McDowell: Software in the Public Interest contributing members: Check your activity status!

That s a longer title than I d like, but I want to try and catch the attention of anyone who might have missed more directed notifications about this. If you re not an SPI contributing member there s probably nothing to see here Although I decided not to stand for re-election at the Software in the Public Interest (SPI) board elections last July, I haven t stopped my involvement with the organisation. In particular I ve spent some time working on an overhaul of the members website and rolling it out. One of the things this has enabled is implementation of 2009-11-04.jmd.1: Contributing membership expiry, by tracking activity in elections and providing an easy way for a member to indicate they consider themselves active even if they haven t voted. The plan is that this will run at some point after the completion of every board election. A first pass of cleanups was completed nearly a month ago, contacting all contributing members who d never been seen to vote and asking them to update their status if they were still active. A second round, of people who didn t vote in the last board election (in 2014), is currently under way. Affected members will have been emailed directly and there was a mail to spi-announce, but I m aware people often overlook these things or filter mail off somewhere that doesn t get read often. If you are an SPI Contributing member who considers themselves an active member I strongly recommend you login to the SPI Members Website and check the Last active date displayed is after 2014-07-14 (i.e. post the start of the last board election). If it s not, click on the Update link beside the date. The updated date will be shown once you ve done so. Why does pruning inactive members matter? The 2015 X.Org election results provide at least one indication of why ensuring you have an engaged membership is important - they failed to make a by-laws change that a vast majority of votes were in favour of, due to failing to make quorum. (If you re an X.org member, go vote!)

12 April 2016

Reproducible builds folks: Reproducible builds: week 49 in Stretch cycle

What happened in the reproducible builds effort between March 27th and April 2nd: Toolchain fixes Packages fixed The following packages have become reproducible due to changes in their build dependencies: ctioga2, erlang-bitcask, libcommons-collections3-java, libjgoodies-animation-java, libjide-oss-java, octave-gsl, octave-interval, octave-io, octave-quaternion, octave-signal, octave-stk, segment, service-wrapper-java, sqlline, svnkit, uddi4j, velocity-tools. The following packages became reproducible after getting fixed: Some uploads fixed some reproducibility issues, but not all of them: Patches submitted which have not made their way to the archive yet: tests.reproducible-builds.org The i386 builders are now testing packages on i386 for reproducibility. It will probably take 4 weeks until everything has been build twice, on this arch. (h01ger) Package reviews 52 reviews have been removed, 24 added and 4 updated in the previous week. Chris Lamb reported 13 new FTBFS. New issue: copyright_year_in_comments_generated_by_ckbuilder. Misc. This week's edition was mostly written by Lunar, with some help by Reiner Herrmann and h01ger.

Reproducible builds folks: Reproducible builds: week 48 in Stretch cycle

What happened in the reproducible builds effort between March 20th and March 26th: Toolchain fixes Daniel Kahn Gillmor worked on removing build path from build symbols submitting a patch adding -fdebug-prefix-map to clang to match GCC, another patch against gcc-5 to backport the removal of -fdebug-prefix-map from DW_AT_producer, and finally by proposing the addition of a normalizedebugpath to the reproducible feature set of dpkg-buildflags that would use -fdebug-prefix-map to replace the current directory with . using -fdebug-prefix-map. Sergey Poznyakoff merged the --clamp-mtime option so that it will be featured in the next Tar release. This option is likely to be used by dpkg-deb to implement deterministic mtimes for packaged files. Packages fixed The following packages have become reproducible due to changes in their build dependencies: augeas, gmtkbabel, ktikz, octave-control, octave-general, octave-image, octave-ltfat, octave-miscellaneous, octave-mpi, octave-nurbs, octave-octcdf, octave-sockets, octave-strings, openlayers, python-structlog, signond. The following packages became reproducible after getting fixed: Some uploads fixed some reproducibility issues, but not all of them: Patches submitted which have not made their way to the archive yet: tests.reproducible-builds.org i386 build nodes have been setup by converting 2 of the 4 amd64 nodes to i386. (h01ger) Package reviews 92 reviews have been removed, 66 added and 31 updated in the previous week. New issues: timestamps_generated_by_xbean_spring, timestamps_generated_by_mangosdk_spiprocessor. Chris Lamb filed 7 FTBFS bugs. Misc. On March 20th, Chris Lamb gave a talk at FOSSASIA 2016 in Singapore. The very same day, but a few timezones apart, h01ger did a presentation at LibrePlanet 2016 in Cambridge, Massachusetts. Seven GSoC/Outreachy applications were made by potential interns to work on various aspects of the reproducible builds effort. On top of interacting with several applicants, prospective mentors gathered to review the applications.

11 April 2016

Thomas Goirand: Announcing validated Debian packages for Mitaka

Greetings! This is a (4 days delay) copy of the announce I made on the openstack-dev@lists.openstack.org on the 8th of April 2016. I am overjoyed, thrilled and delighted to announce the release of the Debian packages for Mitaka. All of the DefCore packages were validated successfully this morning through our package-only-based Tempest CI. Content of this release
This release includes the following 23 services:
aodh 2.0.0
barbican 2.0.0
ceilometer 6.0.0
cinder 8.0.0
congress 3.0.0+dfsg1
designate 2.0.0
glance 12.0.0
gnocchi 2.0.2
heat 6.0.0
horizon 9.0.0
ironic 5.1.0
keystone 9.0.0
magnum 2.0.0
manila 2.0.0
mistral 2.0.0
murano 2.0.0
neutron 8.0.0
nova 13.0.0
trove 5.0.0
sahara 4.0.0
senlin 1.0.0
swift 2.7.0
zaqar 2.0.0 Where to find these packages
1/ Sid
All of Mitaka was uploaded to Debian Sid this week. You can use Debian Sid directly to use them. 2/ Official jessie-backports
As soon as everything migrates to Debian Testing (currently aka: Stretch), in 5 days if no RC bug is reported, it will be possible to upload all of Mitaka to the Debian official jessie-backports. 3/ Non-official Jessie and Trusty backports
In the meantime, the packages are available through Mirantis Jenkins automatic Debian Jessie backport repository. The full sources.list is available here: http://mitaka-jessie.pkgs.mirantis.com/ You can use the Trusty backports as well: http://mitaka-trusty.pkgs.mirantis.com/ To use these repositories, simply add the described sources.list to (for example) /etc/apt/sources.list.d/openstack.list, and run apt-get update. If you want to install the GPG key of the repositories, you can either install the mitaka-jessie-archive-keyring or mitaka-trusty-archive-keyring package (depending on your distribution of choice). Alternatively apt-key add the public key available at /debian/dists/pukey.gpg in these repositories. As a reminder, the URLs above contain the word Mirantis only because the service is sponsored by my employer. These repositories are straight backports from what is available in Debian Sid, without any modification. Remember that the packages listed below are maintained separately in Debian and Ubuntu, and therefore, packages are different in these distributions:
aodh, barbican, ceilometer, cinder, designate, glance, heat, horizon, ironic, keystone, manila, neutron, nova, trove, swift. All other packages (including all OpenStack libraries like Oslo and python-*clients) are maintained in Debian, with the contribution of Canonical, and then synced to Ubuntu, so they are the exact same packages (or at least, with a minimal difference). I hope we can further improve collaboration between Debian and Canonical during the Newton cycle. Bug reporting
As always, bug reports are welcome, and considered as high value contributions. Please follow the instructions available at https://www.debian.org/Bugs/Reporting to report bugs to the Debian BTS. Moving forward with higher QA and the Packaging-deb project in Newton
Currently, DefCore packages are tested through a package-only (ie: no puppet, chef, you-name-it system management involved) Tempest CI. Results can be seen at:
https://mitaka-jessie.pkgs.mirantis.com/job/openstack-tempest-ci/ Though not all packages are included in this CI. It is my intention, during the Newton cycle, to also include services like Designate, Trove, Barbican, Congress, in this CI. Individual upstream team for these services are more than welcome to approach us to get this happen quicker. Also, as we re slowing starting to get the Packaging-Deb project (ie: packaging using upstream OpenStack gerrit and gating), it is also in the pipe to use the above mentioned tempest CI system as a gate system for the packaging. Hopefully, this will lead us to a full CI/CD working from trunk. We also hope to be able to use these packages to help the Puppet team to test packaged OpenStack from trunk. Greetings
On each release, I ask myself who I should thank. This time, I would like to thank everyone, because this release was overall very nice and working well. The whole OpenStack community is always very helpful and understand the requirements of downstream distributions. Guys, you re awesome, I love my work, and I love working with you all! Cheers,

10 April 2016

Petter Reinholdtsen: Lets make a Norwegian Bokm l edition of The Debian Administrator's Handbook

During this weekends bug squashing party and developer gathering, we decided to do our part to make sure there are good books about Debian available in Norwegian Bokm l, and got in touch with the people behind the Debian Administrator's Handbook project to get started. If you want to help out, please start contributing using the hosted weblate project page, and get in touch using the translators mailing list. Please also check out the instructions for contributors. The book is already available on paper in English, French and Japanese, and our goal is to get it available on paper in Norwegian Bokm l too. In addition to the paper edition, there are also EPUB and Mobi versions available. And there are incomplete translations available for many more languages.

Vincent Bernat: Testing network software with pytest and Linux namespaces

Started in 2008, lldpd is an implementation of IEEE 802.1AB-2005 (aka LLDP) written in C. While it contains some unit tests, like many other network-related software at the time, the coverage of those is pretty poor: they are hard to write because the code is written in an imperative style and tighly coupled with the system. It would require extensive mocking1. While a rewrite (complete or iterative) would help to make the code more test-friendly, it would be quite an effort and it will likely introduce operational bugs along the way. To get better test coverage, the major features of lldpd are now verified through integration tests. Those tests leverage Linux network namespaces to setup a lightweight and isolated environment for each test. They run through pytest, a powerful testing tool.

pytest in a nutshell pytest is a Python testing tool whose primary use is to write tests for Python applications but is versatile enough for other creative usages. It is bundled with three killer features:
  • you can directly use the assert keyword,
  • you can inject fixtures in any test function, and
  • you can parametrize tests.

Assertions With unittest, the unit testing framework included with Python, and many similar frameworks, unit tests have to be encapsulated into a class and use the provided assertion methods. For example: 
class testArithmetics(unittest.TestCase):
    def test_addition(self):
        self.assertEqual(1 + 3, 4)
The equivalent with pytest is simpler and more readable: 
def test_addition():
    assert 1 + 3 == 4
pytest will analyze the AST and display useful error messages in case of failure. For further information, see Benjamin Peterson s article.

Fixtures A fixture is the set of actions performed in order to prepare the system to run some tests. With classic frameworks, you can only define one fixture for a set of tests: 
class testInVM(unittest.TestCase):
    def setUp(self):
        self.vm = VM('Test-VM')
        self.vm.start()
        self.ssh = SSHClient()
        self.ssh.connect(self.vm.public_ip)
    def tearDown(self):
        self.ssh.close()
        self.vm.destroy()
    def test_hello(self):
        stdin, stdout, stderr = self.ssh.exec_command("echo hello")
        stdin.close()
        self.assertEqual(stderr.read(), b"")
        self.assertEqual(stdout.read(), b"hello\n")
In the example above, we want to test various commands on a remote VM. The fixture launches a new VM and configure an SSH connection. However, if the SSH connection cannot be established, the fixture will fail and the tearDown() method won t be invoked. The VM will be left running. Instead, with pytest, we could do this: 
@pytest.yield_fixture
def vm():
    r = VM('Test-VM')
    r.start()
    yield r
    r.destroy()
@pytest.yield_fixture
def ssh(vm):
    ssh = SSHClient()
    ssh.connect(vm.public_ip)
    yield ssh
    ssh.close()
def test_hello(ssh):
    stdin, stdout, stderr = ssh.exec_command("echo hello")
    stdin.close()
    stderr.read() == b""
    stdout.read() == b"hello\n"
The first fixture will provide a freshly booted VM. The second one will setup an SSH connection to the VM provided as an argument. Fixtures are used through dependency injection: just give their names in the signature of the test functions and fixtures that need them. Each fixture only handle the lifetime of one entity. Whatever a dependent test function or fixture succeeds or fails, the VM will always be finally destroyed.

Parameters If you want to run the same test several times with a varying parameter, you can dynamically create test functions or use one test function with a loop. With pytest, you can parametrize test functions and fixtures: 
@pytest.mark.parametrize("n1, n2, expected", [
    (1, 3, 4),
    (8, 20, 28),
    (-4, 0, -4)])
def test_addition(n1, n2, expected):
    assert n1 + n2 == expected

Testing lldpd The general plan for to test a feature in lldpd is the following:
  1. Setup two namespaces.
  2. Create a virtual link between them.
  3. Spawn a lldpd process in each namespace.
  4. Test the feature in one namespace.
  5. Check with lldpcli we get the expected result in the other.
Here is a typical test using the most interesting features of pytest: 
@pytest.mark.skipif('LLDP-MED' not in pytest.config.lldpd.features,
                    reason="LLDP-MED not supported")
@pytest.mark.parametrize("classe, expected", [
    (1, "Generic Endpoint (Class I)"),
    (2, "Media Endpoint (Class II)"),
    (3, "Communication Device Endpoint (Class III)"),
    (4, "Network Connectivity Device")])
def test_med_devicetype(lldpd, lldpcli, namespaces, links,
                        classe, expected):
    links(namespaces(1), namespaces(2))
    with namespaces(1):
        lldpd("-r")
    with namespaces(2):
        lldpd("-M", str(classe))
    with namespaces(1):
        out = lldpcli("-f", "keyvalue", "show", "neighbors", "details")
        assert out['lldp.eth0.lldp-med.device-type'] == expected
First, the test will be executed only if lldpd was compiled with LLDP-MED support. Second, the test is parametrized. We will execute four distinct tests, one for each role that lldpd should be able to take as an LLDP-MED-enabled endpoint. The signature of the test has four parameters that are not covered by the parametrize() decorator: lldpd, lldpcli, namespaces and links. They are fixtures. A lot of magic happen in those to keep the actual tests short:
  • lldpd is a factory to spawn an instance of lldpd. When called, it will setup the current namespace (setting up the chroot, creating the user and group for privilege separation, replacing some files to be distribution-agnostic, ), then call lldpd with the additional parameters provided. The output is recorded and added to the test report in case of failure. The module also contains the creation of the pytest.config.lldpd object that is used to record the features supported by lldpd and skip non-matching tests. You can read fixtures/programs.py for more details.
  • lldpcli is also a factory, but it spawns instances of lldpcli, the client to query lldpd. Moreover, it will parse the output in a dictionary to reduce boilerplate.
  • namespaces is one of the most interesting pieces. It is a factory for Linux namespaces. It will spawn a new namespace or refer to an existing one. It is possible to switch from one namespace to another (with with) as they are contexts. Behind the scene, the factory maintains the appropriate file descriptors for each namespace and switch to them with setns(). Once the test is done, everything is wipped out as the file descriptors are garbage collected. You can read fixtures/namespaces.py for more details. It is quite reusable in other projects2.
  • links contains helpers to handle network interfaces: creation of virtual ethernet link between namespaces, creation of bridges, bonds and VLAN, etc. It relies on the pyroute2 module. You can read fixtures/network.py for more details.
You can see an example of a test run on the Travis build for 0.9.2. Since each test is correctly isolated, it s possible to run parallel tests with pytest -n 10 --boxed. To catch even more bugs, both the address sanitizer (ASAN) and the undefined behavior sanitizer (UBSAN) are enabled. In case of a problem, notably a memory leak, the faulty program will exit with a non-zero exit code and the associated test will fail.
  1. A project like cwrap would definitely help. However, it lacks support for Netlink and raw sockets that are essential in lldpd operations.
  2. There are three main limitations in the use of namespaces with this fixture. First, when creating a user namespace, only root is mapped to the current user. With lldpd, we have two users (root and _lldpd). Therefore, the tests have to run as root. The second limitation is with the PID namespace. It s not possible for a process to switch from one PID namespace to another. When you call setns() on a PID namespace, only children of the current process will be in the new PID namespace. The PID namespace is convenient to ensure everyone gets killed once the tests are terminated but you must keep in mind that /proc must be mounted in children only. The third limitation is that, for some namespaces (PID and user), all threads of a process must be part of the same namespace. Therefore, don t use threads in tests. Use multiprocessing module instead.

Russ Allbery: Largish haul

Let's see if I can scrounge through all of my now-organized directories of ebooks and figure out what I haven't recorded here yet. At least the paper books make that relatively easy, since I don't shelve them until I post them. (Yeah, yeah, I should actually make a database.) Hugh Aldersey-Williams Periodic Tales (nonfiction)
Sandra Ulbrich Almazan SF Women A-Z (nonfiction)
Radley Balko Rise of the Warrior Cop (nonfiction)
Peter V. Brett The Warded Man (sff)
Lois McMaster Bujold Gentleman Jole and the Red Queen (sff)
Fred Clark The Anti-Christ Handbook Vol. 2 (nonfiction)
Dave Duncan West of January (sff)
Karl Fogel Producing Open Source Software (nonfiction)
Philip Gourevitch We Wish to Inform You That Tomorrow We Will Be Killed With Our Families (nonfiction)
Andrew Groen Empires of EVE (nonfiction)
John Harris @ Play (nonfiction)
David Hellman & Tevis Thompson Second Quest (graphic novel)
M.C.A. Hogarth Earthrise (sff)
S.L. Huang An Examination of Collegial Dynamics... (sff)
S.L. Huang & Kurt Hunt Up and Coming (sff anthology)
Kameron Hurley Infidel (sff)
Kevin Jackson-Mead & J. Robinson Wheeler IF Theory Reader (nonfiction)
Rosemary Kirstein The Lost Steersman (sff)
Rosemary Kirstein The Language of Power (sff)
Merritt Kopas Videogames for Humans (nonfiction)
Alisa Krasnostein & Alexandra Pierce (ed.) Letters to Tiptree (nonfiction)
Mathew Kumar Exp. Negatives (nonfiction)
Ken Liu The Grace of Kings (sff)
Susan MacGregor The Tattooed Witch (sff)
Helen Marshall Gifts for the One Who Comes After (sff collection)
Jack McDevitt Coming Home (sff)
Seanan McGuire A Red-Rose Chain (sff)
Seanan McGuire Velveteen vs. The Multiverse (sff)
Seanan McGuire The Winter Long (sff)
Marc Miller Agent of the Imperium (sff)
Randal Munroe Thing Explainer (graphic nonfiction)
Marguerite Reed Archangel (sff)
J.K. Rowling Harry Potter: The Complete Collection (sff)
K.J. Russell Tides of Possibility (sff anthology)
Robert J. Sawyer Starplex (sff)
Bruce Schneier Secrets & Lies (nonfiction)
Mike Selinker (ed.) The Kobold Game to Board Game Design (nonfiction)
Douglas Smith Chimerascope (sff collection)
Jonathan Strahan Fearsome Journeys (sff anthology)
Nick Suttner Shadow of the Colossus (nonfiction)
Aaron Swartz The Boy Who Could Change the World (essays)
Caitlin Sweet The Pattern Scars (sff)
John Szczepaniak The Untold History of Japanese Game Developers I (nonfiction)
John Szczepaniak The Untold History of Japanese Game Developers II (nonfiction)
Jeffrey Toobin The Run of His Life (nonfiction)
Hayden Trenholm Blood and Water (sff anthology)
Coen Teulings & Richard Baldwin (ed.) Secular Stagnation (nonfiction)
Ursula Vernon Book of the Wombat 2015 (graphic nonfiction)
Ursula Vernon Digger (graphic novel) Phew, that was a ton of stuff. A bunch of these were from two large StoryBundle bundles, which is a great source of cheap DRM-free ebooks, although still rather hit and miss. There's a lot of just fairly random stuff that's been accumulating for a while, even though I've not had a chance to read very much. Vacation upcoming, which will be a nice time to catch up on reading.

7 April 2016

Arturo Borrero Gonz lez: Entering the Debian NM process


This week I've entered the Debian NM process to move from Debian Maintainer (DM) to Debian Developer (DD).

But, what have I been doing for Debian lastly?

I've been DM for the last year, after a couple of years maintaining packages with sponsors.

Since 2015 until this time of the 2016 year, I've done roughly 33 package uploads, opened 67 bugs and contributed to many others. I maintain and co-maintain now 9 packages, most of them Netfilter-related.

This is a graph of bugs assigned to my packages in the last natural year:


I was supported to start the process by Anibal Monsalve, and Vincent Cheng intermediately become by advocate.

The duration of the NM process can vary depending on a number of factors, from a couple of months to a couple of years.

BTW, I got my opened bug statistics with this small script: deb_bugs_years.sh

6 April 2016

Steinar H. Gunderson: Nageru 1.2.0 released

I've just released version 1.2.0 of Nageru, my live video mixer. The main new feature is support for Blackmagic's PCI (and Thunderbolt) series of cards through their driver (in addition to the preexisting support for their USB3 cards, through my own free one), but the release is really much more than that. In particular, 1.2.0 has a lot of those small tweaks that takes it just to that point where it starts feeling like software I can use and trust myself. Of course, there are still tons of rough edges (and probably also bad bugs I didn't know about), but in a sense, it's the first real 1.x release. There's not one single thing I can point to it's more the sum. To that end, I will be using it at Solskogen this summer to run what's most likely the world's first variable-framerate demoparty stream, with the stream nominally in 720p60 but dropping to 720p50 during the oldschool compos to avoid icky conversions on the way, given that almost all oldschool machines are PAL. (Of course, your player needs to handle it properly to get perfect 50 Hz playback, too :-) Most likely through G-SYNC or similar, unless you actually have a CRT you can set to 50 Hz.) For more details about exactly what's new, see the NEWS file, or simply the git commit log.

5 April 2016

Ian Wienand: Image building in OpenStack CI

Also titled minimal images - maximal effort! The OpenStack Infrastructure Team manages a large continuous-integration system that provides the broad range of testing the OpenStack project requires. Tests are run thousands of times a day across every project, on multiple platforms and on multiple cloud-providers. There are essentially no manual steps in any part of the process, with every component being automated via scripting, a few home-grown tools and liberal doses of Puppet and Ansible. More importantly, every component resides in the public git trees right alongside every other OpenStack project, with contributions actively encouraged. As with any large system, technical debt can build up and start to affect stability and long-term maintainability. OpenStack Infrastructure can see some of this debt accumulating as more testing environments across more cloud-providers are being added to support ever-growing testing demands. Thus a strong focus of recent work has been consolidating testing platforms to be smaller, better defined and more maintainable. This post illustrates some of the background to the issues and describes how these new platforms are more reliable and maintainable.
OpenStack CI Overview Before getting into details, it's a good idea to get a basic big-picture conceptual model of how OpenStack CI testing works. If you look at the following diagram and follow the numbers with the explanation below, hopefully you'll have all the context you need. Overview of OpenStack CI

  1. The developer uploads their code to gerrit via the git-review tool. There is no further action required on their behalf and the developer simply waits for results.

  2. Gerrit provides a JSON-encoded "firehose" output of everything happening to it. New reviews, votes, updates and more all get sent out over this pipe. Zuul is the overall scheduler that subscribes itself to this information and is responsible for managing the CI jobs appropriate for each change.

  3. Zuul has a configuration that tells it what jobs to run for what projects. Zuul can do lots of interesting things, but for the purposes of this discussion we just consider that it puts the jobs it wants run into gearman for a Jenkins master to consume. gearman is a job-server; as they explain it "[gearman] provides a generic application framework to farm out work to other machines or processes that are better suited to do the work". Zuul puts into gearman basically a tuple (job-name, node-type) for each job it wants run, specifying the unique job name to run and what type of node it should be run on.

  4. A group of Jenkins masters are subscribed to gearman as workers. It is these Jenkins masters that will consume the job requests from the queue and actually get the tests running. However, Jenkins needs two things to be able to run a job a job definition (what to actually do) and a slave node (somewhere to do it). The first part what to do is provided by job-definitions stored in external YAML files and processed by Jenkins Job Builder (jjb) in to job configurations for Jenkins. Each Jenkins master gets these definitions pushed to it constantly by Puppet, thus each Jenkins master instance knows about all the jobs it can run automatically. Zuul also knows about these job definitions; this is the job-name part of the tuple we said it put into gearman. The second part somewhere to run the test takes some more explaining. To the next point...

  5. Several cloud companies donate capacity in their clouds for OpenStack to run CI tests. Overall, this capacity is managed by a customised orchestration tool called nodepool. Nodepool watches the gearman queue and sees what requests are coming out of Zuul. It looks at node-type of jobs in the queue and decides what types of nodes need to start and which cloud providers have capacity to satisfy demand. Nodepool will monitor the start-up of the virtual-machines and register the new nodes to the Jenkins master instances.

  6. At this point, the Jenkins master has what it needs to actually get jobs started. When nodepool registers a host to a Jenkins master as a slave, the Jenkins master can now advertise its ability to consume jobs. For example, if a ubuntu-trusty node is provided to the Jenkins master instance by nodepool, Jenkins can now consume from gearman any job it knows about that is intended to run on an ubuntu-trusty slave. Jekins will run the job as defined in the job-definition on that host ssh-ing in, running scripts, copying the logs and waiting for the result. (It is a gross oversimplification, but for the purposes of OpenStack CI, Jenkins is pretty much used as a glorified ssh/scp wrapper. Zuul Version 3, under development, is working to remove the need for Jenkins to be involved at all).

  7. Eventually, the test will finish. The Jenkins master will put the result back into gearman, which Zuul will consume. The slave will be released back to nodepool, which destroys it and starts all over again (slaves are not reused and also have no sensitive details on them, as they are essentially publicly accessible). Zuul will wait for the results of all jobs for the change and post the result back to Gerrit; it either gives a positive vote or the dreaded negative vote if required jobs failed (it also handles merges to git, but we'll ignore that bit for now).

In a nutshell, that is the CI work-flow that happens thousands-upon-thousands of times a day keeping OpenStack humming along.
Image builds So far we have glossed over how nodepool actually creates the images that it hands out for testing. Image creation, illustrated in step 8 above, contains a lot of important details. Firstly, what are these images and why build them at all? These images are where the "rubber hits the road" they are instantiated into the virtual-machines that will run DevStack, unit-testing or whatever else someone might want to test. The main goal is to provide a stable and consistent environment in which to run a wide-range of tests. A full OpenStack deployment results in hundreds of libraries and millions of lines of code all being exercised at once. The testing-images are right at the bottom of all this, so any instability or inconsistency affects everyone; leading to constant fire-firefighting and major inconvenience as all forward-progress stops when CI fails. We want to support a wide number of platforms interesting to developers such as Ubuntu, Debian, CentOS and Fedora, and we also want to and make it easy to handle new releases and add other platforms. We want to ensure this can be maintained without too much day-to-day hands-on. Caching is a big part of the role of these images. With thousands of jobs going on every day, an occasional network blip is not a minor annoyance, but creates constant and difficult to debug failures. We want jobs to rely on as few external resources as possible so tests are consistent and stable. This means caching things like the git trees tests might use (OpenStack just broke the 1000 repository mark), VM images, packages and other common bits and pieces. Obviously a cache is only as useful as the data in it, so we build these images up every day to keep them fresh.
Snapshot images If you log into almost any cloud-provider's interface, they almost certainly have a range of pre-canned images of common distributions for you to use. At first, the base images for OpenStack CI testing came from what the cloud-providers had as their public image types. However, over time, there are a number of issues that emerge:
  1. No two images, even for the same distribution or platform, are the same. Every provider seems to do something "helpful" to the images which requires some sort of workaround.
  2. Providers rarely leave these images alone. One day you would boot the image to find a bunch of Python libraries pip-installed, or a mount-point moved, or base packages removed (all happened).
  3. Even if the changes are helpful, it does not make for consistent and reproducible testing if every time you run, you're on a slightly different base system.
  4. Providers don't have some images you want (like a latest Fedora), or have different versions, or different point releases. All update asynchronously whenever they get around to it.
So the original incarnations of OpenStack CI images were based on these public images. Nodepool would start one of these provider images and then run a series of scripts on it these scripts would firstly try to work-around any quirks to make the images look as similar as possible across providers, and then do the caching, setup things like authorized keys and finish other configuration tasks. Nodepool would then snapshot this prepared image and start instantiating VM's from these snapshots into the pool for testing. If you hear someone talking about a "snapshot image" in OpenStack CI context, that's likely what they are referring to. Apart from the stability of the underlying images, the other issue you hit with this approach is that the number of images being built starts to explode when you take into account multiple providers and multiple regions. Even with just Rackspace and the (now defunct) HP Cloud we would end up creating snapshot images for 4 or 5 platforms across a total of about 8 regions meaning anywhere up to 40 separate image builds happening daily (you can see how ridiculous it was getting in the logging configuration used at the time). It was almost a fait accompli that some of these would fail every day nodepool can deal with this by reusing old snapshots but this leads to a inconsistent and heterogeneous testing environment. Naturally there was a desire for something more consistent a single image that could run across multiple providers in a much more tightly controlled manner.
Upstream-based builds Upstream distributions do provide "cloud-images", which are usually pre-canned .qcow2 format files suitable for uploading to your average cloud. So the diskimage-builder tool was put into use creating images for nodepool, based on these upstream-provided images. In essence, diskimage-builder uses a series of elements (each, as the name suggests, designed to do one thing) that allow you to build a completely customised image. It handles all the messy bits of laying out the image file, tries to be smart about caching large downloads and final things like conversion to qcow2 or vhd. nodepool has used diskimage-builder to create customised images based upon the upstream releases for some time. These are better, but still have some issues for the CI environment:
  1. You still really have no control over what does or does not go into the upstream base images. You don't notice a change until you deploy a new image based on an updated version and things break.
  2. The images still start with a fair amount of "stuff" on them. For example cloud-init is a rather large Python program and has a fair few dependencies. These dependencies can both conflict with parts of OpenStack or end up tacitly hiding real test requirements (the test doesn't specify it, but the package is there as part of another base dependency. Things then break when the base dependencies change). The whole idea of the CI is that (as much as possible) you're not making any assumptions about what is required to run your tests you want everything explicitly included.
  3. An image that "works everywhere" across multiple cloud-providers is quite a chore. cloud-init hasn't always had support for config-drive and Rackspace's DHCP-less environment, for example. Providers all have their various different networking schemes or configuration methods which needs to be handled consistently.
If you were starting this whole thing again, things like LXC/Docker to keep "systems within systems" might come into play and help alleviate some of the packaging conflicts. Indeed they may play a role in the future. But don't forget that DevStack, the major CI deployment mechanism, was started before Docker existed. And there's tricky stuff with networking and Neutron going on. And things like iSCSI kernel drivers that containers don't support well. And you need to support Ubuntu, Debian, CentOS and Fedora. And you have hundreds of developers already relying on what's there. So change happens incrementally, and in the mean time, there is a clear need for a stable, consistent environment.
Minimal builds To this end, diskimage-builder now has a serial of "minimal" builds that are really that systems with essentially nothing on them. For Debian and Ubuntu this is achieved via debootstrap, for Fedora and CentOS we replicate this with manual installs of base packages into a clean chroot environment. We add on a range of important elements that make the image useful; for example, for networking, we have simple-init which brings up the network consistently across all our providers but has no dependencies to mess with the base system. If you check the elements provided by project-config you can see a range of specific elements that OpenStack Infra runs at each image build (these are actually specified by in arguments to nodepool, see the config file, particularly diskimages section). These custom elements do things like caching, using puppet to install the right authorized_keys files and setup a few needed things to connect to the host. In general, you can see the logs of an image build provided by nodepool for each daily build. So now, each day at 14:14 UTC nodepool builds the daily images that will be used for CI testing. We have one image of each type that (theoretically) works across all our providers. After it finishes building, nodepool uploads the image to all providers (p.s. the process of doing this is so insanely terrible it spawned shade; this deserves many posts of its own) at which point it will start being used for CI jobs. If you wish to replicate this entire process, the build-image.sh script, run on an Ubuntu Trusty host in a virtualenv with diskimage-builder will get you pretty close (let us know of any issues!).
DevStack and bare nodes There are two major ways OpenStack projects test their changes:
  1. Running with DevStack, which brings up a small, but fully-functional, OpenStack cloud with the change-under-test applied. Generally tempest is then used to ensure the big-picture things like creating VM's, networks and storage are all working.
  2. Unit-testing within the project; i.e. what you do when you type tox -e py27 in basically any OpenStack project.
To support this testing, OpenStack CI ended up with the concept of bare nodes and devstack nodes.
  • A bare node was made for unit-testing. While tox has plenty of information about installing required Python packages into the virtualenv for testing, it doesn't know anything about the system packages required to build those Python packages. This means things like gcc and library -devel packages which many Python packages use to build bindings. Thus the bare nodes had an ever-growing and not well-defined list of packages that were pre-installed during the image-build to support unit-testing. Worse still, projects didn't really know their dependencies but just relied on their testing working with this global list that was pre-installed on the image.
  • In contrast to this, DevStack has always been able to bootstrap itself from a blank system to a working OpenStack deployment by ensuring it has the right dependencies installed. We don't want any packages pre-installed here because it hides actual dependencies that we want explicitly defined within DevStack otherwise, when a user goes to deploy DevStack for their development work, things break because their environment differs slightly to the CI one. If you look at all the job definitions in OpenStack, by convention any job running DevStack has a dsvm in the job name this referred to running on a "DevStack Virtual Machine" or a devstack node. As the CI environment has grown, we have more and more testing that isn't DevStack based (puppet apply tests, for example) that rather confusingly want to run on a devstack node because they do not want dependencies installed. While it's just a name, it can be difficult to explain!
Thus we ended up maintaining two node-types, where the difference between them is what was pre-installed on the host and yes, the bare node had more installed than a devstack node, so it wasn't that bare at all!
Specifying Dependencies Clearly it is useful to unify these node types, but we still need to provide a way for the unit-test environments to have their dependencies installed. This is where a tool called bindep comes in. This tool gives project authors a way to specify their system requirements in a similar manner to the way their Python requirements are kept. For example, OpenStack has the concept of global requirements those Python dependencies that are common across all projects so version skew becomes somewhat manageable. This project now has some extra information in the other-requirements.txt file, which lists the system packages required to build the Python packages in the global-requirements list. bindep knows how to look at these lists provided by projects and get the right packages for the platform it is running on. As part of the image-build, we have a cache-bindep element that can go through every project and build a list of the packages it requires. We can thus pre-cache all of these packages onto the images, knowing that they are required by jobs. This both reduces the dependency on external mirrors and improves job performance (as the packages are locally cached) but doesn't pollute the system by having everything pre-installed. Package installation can now happen via the way we really should be doing it as part of the CI job. There is a job-macro called install-distro-packages which a test can use to call bindep to install the packages specified by the project before the run. You might notice the script has a "fallback" list of packages if the project does not specify it's own dependencies this essentially replicates the environment of a bare node as we transition to projects more strictly specifying their system requirements. We can now start with a blank image and all the dependencies to run the job can be expressed by and within the project leading to a consistent and reproducible environment without any hidden dependencies. Several things have broken as part of removing bare nodes this is actually a good thing because it means we have revealed areas where we were making assumptions in jobs about what the underlying platform provides. There's a few other job-macros that can do things like provide MySQL/Postgres instances for testing or setup other common job requirements. By splitting these types of things out from base-images we also improve the performance of jobs who don't waste time doing things like setting up databases for jobs that don't need it. As of this writing, the bindep work is new and still a work-in-progress. But the end result is that we have no more need for a separate bare node type to run unit-tests. This essentially halves the number of image-builds required and brings us to the goal of a single image for each platform running all CI.
Conclusion While dealing with multiple providers, image-types and dependency chains has been a great effort for the infra team, to everyone's credit I don't think the project has really noticed much going on underneath. OpenStack CI has transitioned to a situation where there is a single image type for each platform we test that deploys unmodified across all our providers and runs all testing environments equally. We have better insight into our dependencies and better tools to manage them. This leads to greatly decreased maintenance burden, better consistency and better performance; all great things to bring to OpenStack CI!

Matthew Garrett: There's more than one way to exploit the commons

There's a piece of software called XScreenSaver. It attempts to fill two somewhat disparate roles: XScreenSaver does an excellent job of the second of these[2] and is pretty good at the first, which is to say that it only suffers from a disastrous security flaw once very few years and as such is certainly not appreciably worse than any other piece of software.

Debian ships an operating system that prides itself on stability. The Debian definition of stability is a very specific one - rather than referring to how often the software crashes or misbehaves, it refers to how often the software changes behaviour. Debian is very reluctant to upgrade software that is part of a stable release, to the extent that developers will attempt to backport individual security fixes to the version they shipped rather than upgrading to a release that contains all those security fixes but also adds a new feature. The argument here is that the new release may also introduce new bugs, and Debian's users desire stability (in the "things don't change" sense) more than new features. Backporting security fixes keeps them safe without compromising the reason they're running Debian in the first place.

This all makes plenty of sense at a theoretical level, but reality is sometimes less convenient. The first problem is that security bugs are typically also, well, bugs. They may make your software crash or misbehave in annoying but apparently harmless ways. And when you fix that bug you've also fixed a security bug, but the ability to determine whether a bug is a security bug or not is one that involves deep magic and a fanatical devotion to the cause so given the choice between maybe asking for a CVE and dealing with embargoes and all that crap when perhaps you've actually only fixed a bug that makes the letter "E" appear in places it shouldn't and not one that allows the complete destruction of your intergalactic invasion fleet means people will tend to err on the side of "Eh fuckit" and go drinking instead. So new versions of software will often fix security vulnerabilities without there being any indication that they do so[3], and running old versions probably means you have a bunch of security issues that nobody will ever do anything about.

But that's broadly a technical problem and one we can apply various metrics to, and if somebody wanted to spend enough time performing careful analysis of software we could have actual numbers to figure out whether the better security approach is to upgrade or to backport fixes. Conversations become boring once we introduce too many numbers, so let's ignore that problem and go onto the second, which is far more handwavy and social and so significantly more interesting.

The second problem is that upstream developers remain associated with the software shipped by Debian. Even though Debian includes a tool for reporting bugs against packages included in Debian, some users will ignore that and go straight to the upstream developers. Those upstream developers then have to spend at least 15 or so seconds telling the user that the bug they're seeing has been fixed for some time, and then figure out how to explain that no sorry they can't make Debian include a fixed version because that's not how things work. Worst case, the stable release of Debian ends up including a bug that makes software just basically not work at all and everybody who uses it assumes that the upstream author is brutally incompetent, and they end up quitting the software industry and I don't know running a nightclub or something.

From the Debian side of things, the straightforward solution is to make it more obvious that users should file bugs with Debian and not bother the upstream authors. This doesn't solve the problem of damaged reputation, and nor does it entirely solve the problem of users contacting upstream developers. If a bug is filed with Debian and doesn't get fixed in a timely manner, it's hardly surprising that users will end up going upstream. The Debian bugs list for XScreenSaver does not make terribly attractive reading.

So, coming back to the title for this entry. The most obvious failure of the commons is where a basically malicious actor consumes while giving nothing back, but if an actor with good intentions ends up consuming more than they contribute that may still be a problem. An upstream author releases a piece of software under a free license. Debian distributes this to users. Debian's policies result in the upstream author having to do more work. What does the upstream author get out of this exchange? In an ideal world, plenty. The author's software is made available to more people. A larger set of developers is willing to work on making improvements to the software. In a less ideal world, rather less. The author has to deal with bug mail about already fixed bugs. The author's reputation may be harmed by user exposure to said fixed bugs. The author may get less in the way of useful bug fixes or features because people are running old versions rather than fixing new ones. If the balance tips towards the latter, the author's decision to release their software under a free license has made their life more difficult.

Most discussions about Debian's policies entirely ignore the latter scenario, focusing more on the fact that the author chose to release their software under a free license to begin with. If the author is unwilling to handle the consequences of that, goes the argument, why did they do it in the first place? The unfortunate logical conclusion to that argument is that the author realises that they made a huge mistake and never does so again, and woo uh oops.

The irony here is that one of Debian's foundational documents, the Debian Free Software Guidelines, makes allowances for this. Section 4 allows for distribution of software in Debian even if the author insists that modified versions[4] are renamed. This allows for an author to make a choice - allow themselves to be associated with the Debian version of their work and increase (a) their userbase and (b) their support load, or try to distinguish what Debian ship from their identity. But that document was ratified in 1997 and people haven't really spent much time since then thinking about why it says what it does, and so this tradeoff is rarely considered.

Free software doesn't benefit from distributions antagonising their upstreams, even if said upstream is a cranky nightclub owner. Debian's users are Debian's highest priority, but those users are going to suffer if developers decide that not using free licenses improves their quality of life. Kneejerk reactions around specific instances aren't helpful, but now is probably a good time to start thinking about what value Debian bring to its upstream authors and how that can be increased. Failing to do so doesn't serve users, Debian itself or the free software community as a whole.

[1] The X server has no fundamental concept of a screen lock. This is implemented by an application asking that the X server send all keyboard and mouse input to it rather than to any other application, and then that application creating a window that fills the screen. Due to some hilarious design decisions, opening a pop-up menu in an application prevents any other application from being able to grab input and so it is impossible for the screensaver to activate if you open a menu and then walk away from your computer. This is merely the most obvious problem - there are others that are more subtle and more infuriating. The only fix in this case is to nuke the site from orbit.

[2] There's screenshots here. My favourites are the one that emulate the electrical characteristics of an old CRT in order to present a more realistic depiction of the output of an Apple 2 and the one that includes a complete 6502 emulator.

[3] And obviously new versions of software will often also introduce new security vulnerabilities without there being any indication that they do so, because who would ever put that in their changelog. But the less ethically challenged members of the security community are more likely to be looking at new versions of software than ones released three years ago, so you're probably still tending towards winning overall

[4] There's a perfectly reasonable argument that all packages distributed by Debian are modified in some way

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4 April 2016

Matthew Garrett: TPMs, event logs, fine-grained measurements and avoiding fragility in remote-attestation

Trusted Platform Modules are fairly unintelligent devices. They can do some crypto, but they don't have any ability to directly monitor the state of the system they're attached to. This is worked around by having each stage of the boot process "measure" state into registers (Platform Configuration Registers, or PCRs) in the TPM by taking the SHA1 of the next boot component and performing an extend operation. Extend works like this:

New PCR value = SHA1(current value new hash)

ie, the TPM takes the current contents of the PCR (a 20-byte register), concatenates the new SHA1 to the end of that in order to obtain a 40-byte value, takes the SHA1 of this 40-byte value to obtain a 20-byte hash and sets the PCR value to this. This has a couple of interesting properties:But how do we know what those operations were? We control the bootloader and the kernel and we know what extend operations they performed, so that much is easy. But the firmware itself will have performed some number of operations (the firmware itself is measured, as is the firmware configuration, and certain aspects of the boot process that aren't in our control may also be measured) and we may not be able to reconstruct those from scratch.

Thankfully we have more than just the final PCR data. The firmware provides an interface to log each extend operation, and you can read the event log in /sys/kernel/security/tpm0/binary_bios_measurements. You can pull information out of that log and use it to reconstruct the writes the firmware made. Merge those with the writes you performed and you should be able to reconstruct the final TPM state. Hurrah!

The problem is that a lot of what you want to measure into the TPM may vary between machines or change in response to configuration changes or system updates. If you measure every module that grub loads, and if grub changes the order that it loads modules in, you also need to update your calculations of the end result. Thankfully there's a way around this - rather than making policy decisions based on the final TPM value, just use the final TPM value to ensure that the log is valid. If you extract each hash value from the log and simulate an extend operation, you should end up with the same value as is present in the TPM. If so, you know that the log is valid. At that point you can examine individual log entries without having to care about the order that they occurred in, which makes writing your policy significantly easier.

But there's another source of fragility. Imagine that you're measuring every command executed by grub (as is the case in the CoreOS grub). You want to ensure that no inappropriate commands have been run (such as ones that would allow you to modify the loaded kernel after it's been measured), but you also want to permit certain variations - for instance, you might have a primary root filesystem and a fallback root filesystem, and you're ok with either being passed as a kernel argument. One approach would be to write two lines of policy, but there's an even more flexible approach. If the bootloader logs the entire command into the event log, when replaying the log we can verify that the event description hashes to the value that was passed to the TPM. If it does, rather than testing against an explicit hash value, we can examine the string itself. If the event description matches a regular expression provided by the policy then we're good.

This approach makes it possible to write TPM policies that are resistant to changes in ordering and permit fine-grained definition of acceptable values, and which can cleanly separate out local policy, generated policy values and values that are provided by the firmware. The split between machine-specific policy and OS policy allows for the static machine-specific policy to be merged with OS-provided policy, making remote attestation viable even over automated system upgrades.

We've integrated an implementation of this kind of policy into the TPM support code we'd like to integrate into Kubernetes, and CoreOS will soon be generating known-good hashes at image build time. The combination of these means that people using Distributed Trusted Computing under Tectonic will be able to validate the state of their systems with nothing more than a minimal machine-specific policy description.

The support code for all of this should also start making it into other distributions in the near future (the grub code is already in Fedora 24), so with luck we can define a cross-distribution policy format and make it straightforward to handle this in a consistent way even in hetrogenous operating system environments. Remote attestation is a powerful tool for ensuring that your systems are in a valid state, but the difficulty of policy management has been a significant factor in making it difficult for people to deploy in their data centres. Making it easier for people to shield themselves against low-level boot attacks is a big step forward in improving the security of distributed workloads and makes bare-metal hosting a much more viable proposition.

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Raphaël Hertzog: My Free Software Activities in February and March 2016

My monthly report covers a large part of what I have been doing in the free software world. I write it for my donators (thanks to them!) but also for the wider Debian community because it can give ideas to newcomers and it s one of the best ways to find volunteers to work with me on projects that matter to me. I skipped my monthly report last time so this one will cover two months. I will try to list only the most important things to not make it too long. The Debian Handbook I worked with Ryuunosuke Ayanokouzi to prepare a paperback version of the Japanese translation of my book. Thanks to the efforts of everybody, it s now available. Unfortunately, Lulu declined to take it in distribution program so it won t be available on traditional bookstores (like Amazon, etc.). The reason is that they do not support non-latin character sets in the meta-data. I tried to cheat a little bit by inputting the description in English (still explaining that the book was in Japanese) but they rejected it nevertheless because the English title could mislead people. So the paperback is only available on lulu.com. Fortunately, the shipping costs are reasonable if you pick the most economic offer. Following this I invited the Italian, Spanish and Brazilian Portuguese translators to complete the work (they were close will all the strings already translated, mainly missing translated screenshots and some backcover content) so that we can also release paperback versions in those languages. It s getting close to completion for them. Hopefully we will have those available until next month. Distro Tracker In early February, I tweaked the configuration to send (by email) exceptions generated by incoming mails and by routine task. Before this they were logged but I did not take the time to look into them. This quickly brought a few issues into light and I fixed them as they appeared: for instance the bounce handling code was getting confused when the character case was not respected, and it appears that some emails come back to us after having been lowercased. Also the code was broken when the References field used more than one line on incoming control emails. This brought into light a whole class of problems with the database storing twice the same email with only differing case. So I did further work to merge all those duplicate entries behind a single email entry. Later, the experimental Sources files changed and I had to tweak the code to work with the removal of the Files field (relying instead on Checksums-* to find out the various files part of the entry). At some point, I also fixed the login form to not generate an exception when the user submits an empty form. I also decided that I no longer wanted to support Django 1.7 in distro tracker as Django 1.8 is the current LTS version. I asked the Debian system administrators to update the package on tracker.debian.org with the version in jessie-backports. This allowed me to fix a few deprecation warnings that I kept triggering because I wanted the code to work with Django 1.7. One of those warnings was generated by django-jsonfield though and I could not fix it immediately. Instead I prepared a pull request that I submitted to the upstream author. Oh, and a last thing, I tweaked the CSS to densify the layout on the package page. This was one of the most requested changes from the people who were still preferring packages.qa.debian.org over tracker.debian.org. Kali and new pkg-security team As part of my Kali work, I have been fixing RC bugs in Debian packages that we use in Kali. But in many cases, I stumbled upon packages whose maintainers were really missing in action (MIA). Up to now, we were only doing non-maintainers upload (NMU) but I want to be able to maintain those packages more effectively so we created a new pkg-security team (we re only two right now and we have no documentation yet, but if you want to join, you re welcome, in particular if you maintain a package which is useful in the security field). arm64 work. The first 3 packages that we took over (ssldump, sucrack, xprobe) are actually packages that were missing arm64 builds. We just started our arm64 port on Kali and we fixed them for that architecture. Since they were no longer properly maintained, in most cases it was just a matter of using dh_autoreconf to get up-to-date config. sub,guess files. We still miss a few packages on arm64: vboot-utils (that we will likely take over soon since it s offered for adoption), ruby-libv8 and ruby-therubyracer, ntopng (we have to wait a new luajit which is only in experimental right now). We also noticed that dh-make-golang was not available on arm64, after some discussion on #debian-buildd, I filed two bugs for this: #819472 on dh-make-golang and #819473 on dh-golang. RC bug fixing. hdparm was affected by multiple RC bugs and the release managers were trying to get rid of it from testing. This removed multiple packages that were used by Kali and its users. So I investigated the situation of that package, convinced the current maintainers to orphan it, asked for new maintainers on debian-devel, reviewed multiple updates prepared by the new volunteers and sponsored their work. Now hdparm is again RC-bug free and has the latest upstream version. We also updated jsonpickle to 0.9.3-1 to fix RC bug #812114 (that I forwarded upstream first). Systemd presets support in init-system-helpers. I tried to find someone (to hire) to implement the system preset feature I requested in #772555 but I failed. Still Andreas Henriksson was kind enough to give it a try and sent a first patch. I tried it and found some issues so I continued to improve it and simplify it I submitted an updated patch and pinged Martin Pitt. He pointed me to the DEP-8 test failures that my patch was creating. I quickly fixed those afterwards. This patch is in use in Kali and lets us disable network services by default. I would like to see it merged in Debian so that everybody can setup systemd preset file and have their desire respected at installation time. Misc bug reports. I filed #813801 to request a new upstream release of kismet. Same for masscan in #816644 and for wkhtmltopdf in #816714. We packaged (before Debian) a new upstream release of ruby-msgpack and found out that it was not building on armel/armhf so we filed two upstream tickets (with a suggested fix). In #814805, we asked the pyscard maintainer to reinstate python-pyscard that was dropped (keeping only the Python3 version) as we use the Python 2 version in Kali. And there s more: I filed #816553 (segfault) and #816554 against cdebootstrap. I asked for dh-python to have a better behaviour after having being bitten by the fact that dh with python3 was not doing what I expected it to do (see #818175). And I reported #818907 against live-build since it is failing to handle a package whose name contains an upper case character (it s not policy compliant but dpkg supports them). Misc packaging I uploaded Django 1.9.2 to unstable and 1.8.9 to jessie-backports. I provided the supplementary information that Julien Cristau asked me in #807654 but despite this, this jessie update has been ignored for the second point release in a row. It is now outdated until I update it to include the security fixes that have been released in the mean time but I m not yet sure that I will do it the lack of cooperation of the release team for that kind of request is discouraging. I sponsored multiple uploads of dolibarr (on security update notably) and tcpdf (to fix one RC bug). Thanks See you next month for a new summary of my activities.

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Ian Wienand: Image building for OpenStack CI -- Minimal images, big effort

A large part of OpenStack Infrastructure teams recent efforts has been focused on moving towards more stable and maintainable CI environments for testing.
OpenStack CI Overview Before getting into details, it's a good idea to get a basic big-picture conceptual model of how OpenStack CI testing works. If you look at the following diagram and follow the numbers with the explanation below, hopefully you'll have all the context you need. Overview of OpenStack CI

  1. The developer uploads their code to gerrit via the git-review tool. They wait.

  2. Gerrit provides a JSON-encoded "firehose" output of everything happening to it. New reviews, votes, updates and more all get sent out over this pipe. Zuul is the overall scheduler that subscribes itself to this information and is responsible for managing the CI jobs appropriate for each change.

  3. Zuul has a configuration that tells it what jobs to run for what projects. Zuul can do lots of interesting things, but for the purposes of this discussion we just consider that it puts the jobs it wants run into gearman for a Jenkins host to consume. gearman is a job-server; as they explain it "[gearman] provides a generic application framework to farm out work to other machines or processes that are better suited to do the work".

  4. A group of Jenkins hosts are subscribed to gearman as workers. It is these Jenkins hosts that will consume the job requests from the queue and actually get the tests running. Jenkins needs two things to be able to run a job -- a job definition (what to actually do) and a slave node (somewhere to do it). The first part -- what to do -- is provided by job-definitions stored in external YAML files and processed by Jenkins Job Builder (jjb) in to job configurations for Jenkins. Thus each Jenkins instance knows about all the jobs it might need to run. Zuul also knows about these job definitions, so you can see how we now have a mapping where Zuul can put a job into gearman saying "run test foo-bar-baz" and a Jenkins host can consume that request and know what to do. The second part -- somewhere to run the test -- takes some more explaining. To the next point...

  5. Several cloud companies donate capacity in their clouds for OpenStack to run CI tests. Overall, this capacity is managed by nodepool -- a customised orchestration tool. Nodepool watches the gearman queue and sees what requests are coming out of Zuul, and decides what type of capacity to provide and in what clouds to satisfy the outstanding job queue. Nodepool will start-up virtual-machines as required, and register those nodes to the Jenkins instances.

  6. At this point, Jenkins has what it needs to actually get jobs started. When nodepool registers a host to Jenkins as a slave, the Jenkins host can now advertise its ability to consume jobs. For example, if a ubuntu-trusty node is provided to the Jenkins instance by nodepool, Jenkins can now consume a job from the queue intended to run on an ubuntu-trusty host. It will run the job as defined in the job-definition -- ssh-ing into the host, running scripts, copying the logs and waiting for the result. (It is a gross oversimplification, but but Jenkins is pretty much a glorified ssh/scp wrapper to OpenStack CI. Zuul Version 3, under development, is working to remove the need for Jenkins to be involved at all).

  7. Eventually, the test will finish. Jenkins will put the result back into gearman, which Zuul will consume. The slave will be released back to nodepool, which destroys it and starts all over again (slaves are not reused and also have no sensitive details on them, as they are essentially publicly accessible). Zuul will wait for the results of all jobs and post the result back to Gerrit and give either a positive vote or the dreaded negative vote if required jobs failed (it also handles merges to git, but we'll ignore that bit for now).

In a nutshell, that is the CI work-flow that happens thousands-upon-thousands of times a day keeping OpenStack humming along.
Image builds There is, however, another more asynchronous part of the process that hides a lot of details the rest of the system relies on. Illustrated in step 8 above, this is the management of the images that tests are being run upon. Above we we said that a test runs on a ubuntu-trusty, centos, fedora or some other type of node, but glossed over where these images come from. Firstly, what are these images, and why build them at all? These images are where the "rubber hits the road" -- where DevStack, functional testing or whatever else someone might want to test is actually run for real. Caching is a big part of the role of these images. With thousands of jobs going on every day, an occasional network blip is not a minor annoyance, but creates constant and difficult to debug CI failures. We want the images that CI runs on to rely on as few external resources as possible so test runs are as stable as possible. This means caching all the git trees tests might use, VM images consumed by various tests and other common bits and pieces. Obviously a cache is only as useful as the data in it, so we build these images up every day to keep them fresh.
Provider images If you log into almost any cloud-provider's interface, they almost certainly have a range of pre-canned images of common distributions for you to use. At first, the base images for OpenStack CI testing came from what the cloud-providers had as their public image types. However, over time, there are a number of issues that emerge:
  1. No two images, even for the same distribution or platform, are the same. Every provider seems to do something "helpful" to the images which requires some sort of workaround.
  2. Providers rarely leave these images alone. One day you would boot the image to find a bunch of Python libraries pip-installed, or a mount-point moved, or base packages removed (all happened).
  3. Even if the changes are helpful, it does not make for consistent and reproducible testing if every time you run, you're on a slightly different base system.
  4. Providers don't have some images you want (like a latest Fedora), or have different versions, or different point releases. All update asynchronously whenever they get around to it.
So the original incarnations of building images was that nodepool would start one of these provider images, run a bunch of scripts on it to make a base-image (do the caching, setup keys, etc), snapshot it and then start putting VM's based on these images into the pool for testing (if you hear someone talking about a "snapshot image" in OpenStack CI context, that's what it means). The first problem you hit here is that the number of images being built starts to explode when you take into account multiple providers and multiple regions. Even with just Rackspace and the (now defunct) HP Cloud we would end up snapshot images for 4 or 5 platforms across a total of about 8 regions -- meaning anywhere up to 40 separate image builds happening. It was almost a fait accompli that some images would fail every day -- nodepool can deal with this by reusing old snapshots; but this leads to a inconsistent and heterogeneous testing environment. OpenStack is like a gigantic Jenga tower, with a full DevStack deployment resulting in hundreds of libraries and millions of lines of code all being exercised at once. The testing images are right at the bottom of all this, and it doesn't take much to make the whole thing fall over (see points about providers not leaving images alone). This leads to constant fire-firefighting and everyone annoyed as all CI stops. Naturally there was a desire for something much more consistent -- a single image that could run across multiple providers in a much more tightly controlled manner.
Upstream-based builds Upstream distributions do provide their "cloud-images", which are usually pre-canned .qcow2 format files suitable for uploading to your average cloud. So the diskimage-builder tool was put into use creating images for nodepool, based on these upstream-provided images. In essence, diskimage-builder uses a series of elements (each, as the name suggests, designed to do one thing) that allow you to build a completely customised image. It handles all the messy bits of laying out the image file, tries to be smart about caching large downloads and final things like conversion to qcow2 or vhd or whatever your cloud requires. nodepool has used diskimage-builder to create customised images based upon the upstream releases for some time. These are better, but still have some issues for the CI environment:
  1. You still really have no control over what does or does not go into the upstream base images. You don't notice a change until you deploy a new image based on an updated version and things break.
  2. The images still have a fair amount of "stuff" on them. For example cloud-init is a rather large Python program and has a fair few dependencies. These dependencies can both conflict with parts of OpenStack or end up tacitly hiding real test requirements (the test doesn't specify it, but the package is there as part of another base dependency -- things break when the base dependencies change). The whole idea of the CI is that (as much as possible) you're not making any assumptions about what is required to run your tests -- you want everything explicitly included. (If you were starting this whole thing again, things like Docker to keep "systems within systems" might come into play. Indeed they may be in the future. But don't forget that DevStack, the major CI deployment mechanism, was started before Docker existed. And there's tricky stuff with networking and Neutron etc going on).
  3. An image that "works everywhere" across multiple cloud-providers is quite a chore. cloud-init hasn't always had support for config-drive and Rackspace's DHCP-less environment, for example. Providers all have their various different networking schemes or configuration methods which needs to be handled consistently.
Minimal builds To this end, diskimage-builder now has a serial of "minimal" builds that are really that -- systems with essentially nothing on them. For Debian and Ubuntu, this is achieved via debootstrap, for Fedora and CentOS we replicate this with manual installs of base packages into a clean chroot environment. We add-on a range of important elements that make the image useful; for example, for networking, we have simple-init which brings up the network consistently across all our providers but has no dependencies to mess with the base system. If you check the elements provided by project-config you can see a range of specific elements that OpenStack Infra runs at each image build (these are actually specified by in arguments to nodepool, see the config file, particularly diskimages section). These custom elements do things like caching, using puppet to install the right authorized_keys files and setup a few needed things to connect to the host. In general, you can see the logs of an image build provided by nodepool for each daily build. So now, each day at 14:00 UTC nodepool builds the daily images that will be used for CI testing. We have one image of each type that (theoretically) works across all our providers. After it finishes building, nodepool uploads the image to all providers (p.s. the process of doing this is so insanely terrible it spawned shade; this deserves many posts of its own) at which point it will start being used for CI jobs. If you wish to replicate this entire process, the build-image.sh script, run on an Ubuntu Trusty host in a virtualenv with diskimage-builder will get you pretty close (let us know of any issues!).
Dependencies But guess what, there's more! Along the way, OpenStack CI ended up with the concept of bare nodes and devstack nodes. A bare node was one that was used for functional testing; i.e. what you do when you type tox -e py27 in basically any OpenStack project. The problem here is that tox has plenty of information about installing required Python packages into the virtualenv for testing; but it doesn't know anything about the system packages required to build the Python libraries. This means things like gcc and -devel packages which many Python libraries use to build library bindings. In contrast to this, DevStack has always been able to bootstrap itself from a blank system to a working OpenStack deployment, ensuring it has the right libraries, etc, installed to get everything working. If you look at all the job definitions, anything running DevStack has a dsvm in the job name; which referred to to "DevStack Virtual Machine"; or basically specifying what was installed on the host (and yes, the bare node had more installed, so it wasn't that bare at all!). Thus we don't want packages pre-installed for DevStack, because it hides actual devstack dependencies that we want explicitly defined. But the bare nodes, used for functional testing, were different -- there was an every-growing and not well-defined list of packages that were pre-installed on those nodes to make sure functional testing worked. In general, you don't want jobs relying on something like this; we want to be sure if jobs have a dependency, they require it explicitly. This is where a tool called bindep comes in. OpenStack has the concept of global requirements -- those Python dependencies that are common across all projects so version skew becomes somewhat manageable. This now has some extra information in the other-requirements.txt file, which lists the system-packages required to build the Python-packages in the requirements list. bindep knows how to look at this and get the right packages for the platform it is running on. Indeed -- remember how it was previously mentioned we want to minimise dependencies on external resources at runtime? Well we can pre-cache all of these packages onto the images, knowing that they are likely to be required by packages. How do we get the packages installed? The way we really should be doing it -- as part of the CI job. There is a macro called install-distro-packages which uses bindep to install those packages as required by the global-requirements list. The result -- no more need for the bare node type to run functional tests! In all cases we can start with essentially a blank image and all the dependencies to run the job are expressed by and within the job -- leading to a consistent and reproducible environment. Several things have broken as part of removing bare nodes -- this is actually a good thing because it means we have revealed areas where we were making assumptions in jobs about what the underlying platform provides; issues that get fixed by thinking about and ensuring we have correct dependencies bringing up jobs. There's a few other macros there that do things like provide MySQL/Postgres instances or setup other common job requirements. By splitting these out we also improve the performance of jobs who now only bring in the dependencies they need -- we don't waste time doing things like setting up databases for jobs that don't need it.
Conclusion While dealing with multiple providers, image-types and dependency chains has been a great effort for the infra team, to everyone's credit I don't think the project has really noticed much going on underneath. OpenStack CI has transitioned to a situation where there is a single image type for each platform we test that deploys unmodified across all our providers. We have better insight into our dependencies and better tools to manage them. This leads to greatly decreased maintenance burden, better consistency and better performance; all great things to bring to OpenStack CI!

2 April 2016

Thorsten Alteholz: My Debian Activities in March 2016

FTP assistant This month I marked 226 packages for accept and rejected 22. I also sent 5 emails to maintainers asking questions. It seems to be that a rather quiet month is behind us. As I have seen some packages with strange debian/copyright in binNEW, I wonder whether also the archive should be checked regularly. Maybe it is time to file some bugs Debian LTS This was my twenty-first month that I did some work for the Debian LTS initiative, started by Raphael Hertzog at Freexian. Due to outstanding hours that were redistributed, my all in all workload had been 14.25h. As Wheezy LTS didn t start yet and I am not able to do normal security uploads, I sent debdiffs to the security team. Btw. this can be done by everybody and the way to go is described in chapter 5.8.5 of the Debian Developer s Reference. Altogether I sent the following debdiffs for As the security team wants to update Wheezy and Jessie with only one DSA, whenever applicable I created debdiffs for both releases. Up to now the results can be seen in DSA 3526-1, DSA 3527-1 and DSA 3536-1. As tlslite has been removed from Wheezy during today s point release, I am afraid that was a wasted effort. Other stuff My node activities this month involved uploads of: node-component-consoler, node-generator-supported, node-xmlhttprequest-ssl, node-co, node-uid-umber, node-url-join, node-uri-path, node-read-file, node-nth-check, node-base62, node-require-dir, node-for-in, node-obj-util, node-normalize-it-url, node-delve, node-function-bind, node-seq, node-json-localizer, node-through, node-addressparser, node-ansi-regex, node-crypto-cacerts, node-decamelize, node-array-find-index, node-require-main-filename, node-invert-kv, node-starttls. To fix one or the other bug I also uploaded: node-connect, node-mysql. I also forwarded bug #809252, which is tagged as security relevant in the BTS, to the Node Security Project. I even got one answer stating that the report arrived. We will see what happens next. At least after 45 days another email might arrive

Alessio Treglia: Fuzzy: a many-valued logic

The paths of life to guide us towards the knowledge are many and a straight; well-defined line does not always represent them. Among these, the theory of Fuzzy Logic can help us to better understand some of the methods that maybe for too long we have lost the habit to use, if not even forgotten, because of the residuals of the positivist scientism.

Brief mathematical introduction

blur2All the elements making up the majority of the categories of everyday life (feelings, emotions, opinions, values, quality, etc.) cannot be defined in a unique or exact way. Let s try to define an event that causes severe pain: a hammer blow on the finger? The loss of a loved one? Tooth extraction? It is evident that the answer can vary in a very consistent way, based on the subjectivity of the individual, the environment, boundary conditions and the general context. This is because the Strong Pain is a fuzzy set (which we will call SP), characterized by a function of degree of membership which maps the elements of a universe in a real continuous interval between 0 and 1. In practical terms

<Read More [by Fabio Marzocca]>

1 April 2016

Ben Hutchings: Debian LTS work, March 2016

Last month was relatively quiet for me in terms of uploads, as the "squeeze" LTS period was over and "wheezy" is still in the hands of the regular Debian security team. I carried over 7.25 hours from Feburary and was assigned another 11 hours of work by Freexian's Debian LTS initiative, and worked a total of 12.75 hours. As Debian 7 "wheezy" uses Linux 3.2.y, I took on maintenance of that stable branch at kernel.org from May 2012 until wheezy's EOL. (This currently makes it both the oldest of the kernel.org supported releases and the one with the latest projected EOL!) I will now be maintaining it as part of my Debian LTS work, and then taking on Linux 3.16.y in my own time starting next month. Each update takes me around 10 hours to prepare, so Linux 3.2.79 accounted for most of my work this month. Aside from that, I backported an additional security fix for the kernel (that was not yet suitable for a kernel.org update) to the wheezy-security branch, rebased the wheezy branch on 3.2.79, and pulled upstream updates to the PREEMPT_RT patchset.

Mike Gabriel: Force Google Chrome / Chromium Browser to use WPAD proxy detection

At one of your school sites, we encountered an issue where several people could not access the internet via the school's proxy server when using Google Chrome / Chromium Browser By default those two browser variants use the (Linux) system wide proxy settings. This is not always the best choice. For our setups, we prefer configuring proxy settings via WPAD [1]. We did not investigate each user profile for underlying reasons of not being able to connect via the site's proxy server in depth. Instead, we searched for a system-wide solution that easily enforces WPAD protocol usage when browsing the internet with Google Chrome / Chromium Browser. From the command line, forcing Google Chrome / Chromium Browser into WPAD proxy mode is very easy. It can be done with the command line option --proxy-auto-detect: 
[user@mymachine ~]$ chromium-browser --proxy-auto-detect
To enforce launching these two browser variants with --proxy-auto-detect whenever users click onto icons provided on the Linux desktop, you can simply follow the below recipe:
  1. Create /usr/local/share/applications/ unless it already exists
  2. Copy /usr/share/applications/google-chrome.deskop to /usr/local/share/applications/.
  3. Copy /usr/share/applications/chromium-browser.deskop to /usr/local/share/applications/.
  4. Set the x-bit on those .desktop files: sudo chmod a+x /usr/local/share/applications/*.desktop
  5. Edit both .desktop files and search for lines starting with Exec=. Add --proxy-auto-detect to each of those occurrences after the actual command (see diff below).
  6. Run update-desktop-database /usr/local/share/applications
When users now click on any of the provided launchers provided by Google Chrome / Chromium Browser, the browser attempts proxy detection via the WPAD protocol. light+love,
Mike [1] http://www.faqs.org/rfcs/rfc3040.html (section 6.4)

PS: Difference between Chromium Browser's default .desktop file and our modified version in /usr/local/share/applications/: 
--- usr/share/applications/chromium-browser.desktop	2016-03-16 19:04:18.000000000 +0100
+++ usr/local/share/applications/chromium-browser.desktop	2016-04-01 14:23:27.410775206 +0200
@@ -167,7 +167,7 @@
 Comment[zh_CN]= 
 Comment[zh_HK]= 
 Comment[zh_TW]= 
-Exec=chromium-browser %U
+Exec=chromium-browser --proxy-auto-detect %U
 Terminal=false
 X-MultipleArgs=false
 Type=Application
@@ -216,7 +216,7 @@
 Name[vi]=M  c a s  m i
 Name[zh_CN]= 
 Name[zh_TW]= 
-Exec=chromium-browser
+Exec=chromium-browser --proxy-auto-detect
 
 [Desktop Action Incognito]
 Name=Open a New Window in incognito mode
@@ -254,7 +254,7 @@
 Name[vi]=M  c a s  m i trong ch     n danh
 Name[zh_CN]= 
 Name[zh_TW]= 
-Exec=chromium-browser --incognito
+Exec=chromium-browser --incognito --proxy-auto-detect
 
 [Desktop Action TempProfile]
 Name=Open a New Window with a temporary profile
@@ -292,4 +292,4 @@
 Name[vi]=M  c a s  m i v i h  s  t m
 Name[zh_CN]= 
 Name[zh_TW]= 
-Exec=chromium-browser --temp-profile
+Exec=chromium-browser --temp-profile --proxy-auto-detect


PPS: Similar for Google Chrome: 
--- usr/share/applications/google-chrome.desktop	2016-04-01 14:02:29.388283436 +0200
+++ usr/local/share/applications/google-chrome.desktop	2016-04-01 14:13:59.381895899 +0200
@@ -105,7 +105,7 @@
 Comment[zh_CN]= 
 Comment[zh_HK]= 
 Comment[zh_TW]= 
-Exec=/usr/bin/google-chrome-stable %U
+Exec=/usr/bin/google-chrome-stable --proxy-auto-detect %U
 Terminal=false
 Icon=google-chrome
 Type=Application
@@ -165,7 +165,7 @@
 Name[vi]=C a s  M i
 Name[zh_CN]= 
 Name[zh_TW]= 
-Exec=/usr/bin/google-chrome-stable
+Exec=/usr/bin/google-chrome-stable --proxy-auto-detect
 TargetEnvironment=Unity
 
 [NewIncognito Shortcut Group]
@@ -218,5 +218,5 @@
 Name[vi]=C a s   n danh m i
 Name[zh_CN]= 
 Name[zh_TW]= 
-Exec=/usr/bin/google-chrome-stable --incognito
+Exec=/usr/bin/google-chrome-stable --proxy-auto-detect --incognito
 TargetEnvironment=Unity

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