"Family" by "Ivan" on Flickr

Debian on Docker using Vagrant

I want to use Vagrant-Docker to try standing up some environments. There’s no reasonable justification, it’s just a thing I wanted to do. Normally, I’d go into this long and rambling story about why… but on this occasion, the reason was “Because it’s possible”…

TL;DR?: Get the code from the repo and enjoy 😁

Installing Docker

On Ubuntu you can install Docker following the instructions on the Docker Install Page, which includes a convenience script (that runs all the commands you need), if you want to use it. Similar instructions for Debian, CentOS and Fedora exist.

On Windows or Mac there are downloads you can get from the Docker Hub. The Windows Version requires WSL2. I don’t have a Mac, so I don’t know what the requirements are there! Installing WSL2 has a whole host of extra steps that I can’t really do justice to. See this Microsoft article for details.

Installing Vagrant

On Debian and Ubuntu you can add the HashiCorp Apt Repo and then install Vagrant, using these commands:

curl -fsSL https://apt.releases.hashicorp.com/gpg | sudo apt-key add -
sudo apt-add-repository "deb [arch=amd64] https://apt.releases.hashicorp.com $(lsb_release -cs) main"
sudo apt install vagrant

There are similar instructions for RHEL, CentOS and Fedora users there too.

Windows and Mac users will have to get the application from the download page.

Creating your Dockerfile

A Dockerfile is a simple text file which has a series of line prefixes which instruct the Docker image processor to add certain instructions to the Docker Image. I found two pages which helped me with what to add for this; “Ansible. Docker. Vagrant. Bringing together” and the git repo “AkihiroSuda/containerized-systemd“.

You see, while a Dockerfile is great at starting single binary files or scripts, it’s not very good at running SystemD… and I needed SystemD to be able to run the SSH service that Vagrant requires, and to also run the scripts and commands I needed for the image I wanted to build…

Sooooo…. here’s the Dockerfile I created:

# Based on https://vtorosyan.github.io/ansible-docker-vagrant/
# and https://github.com/AkihiroSuda/containerized-systemd/

FROM debian:buster AS debian_with_systemd

# This stuff enables SystemD on Debian based systems
STOPSIGNAL SIGRTMIN+3
RUN DEBIAN_FRONTEND=noninteractive apt update && DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends systemd systemd-sysv dbus dbus-user-session
COPY docker-entrypoint.sh /
RUN chmod 755 /docker-entrypoint.sh
ENTRYPOINT [ "/docker-entrypoint.sh" ]
CMD [ "/bin/bash" ]

# This part installs an SSH Server (required for Vagrant)
RUN DEBIAN_FRONTEND=noninteractive apt install -y sudo openssh-server
RUN mkdir /var/run/sshd
#    We enable SSH here, but don't start it with "now" as the build stage doesn't run anything long-lived.
RUN systemctl enable ssh
EXPOSE 22

# This part creates the vagrant user, sets the password to "vagrant", adds the insecure key and sets up password-less sudo.
RUN useradd -G sudo -m -U -s /bin/bash vagrant
#    chpasswd takes a colon delimited list of username/password pairs.
RUN echo 'vagrant:vagrant' | chpasswd
RUN mkdir -m 700 /home/vagrant/.ssh
# This key from https://github.com/hashicorp/vagrant/tree/main/keys. It will be replaced on first run.
RUN echo 'ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEA6NF8iallvQVp22WDkTkyrtvp9eWW6A8YVr+kz4TjGYe7gHzIw+niNltGEFHzD8+v1I2YJ6oXevct1YeS0o9HZyN1Q9qgCgzUFtdOKLv6IedplqoPkcmF0aYet2PkEDo3MlTBckFXPITAMzF8dJSIFo9D8HfdOV0IAdx4O7PtixWKn5y2hMNG0zQPyUecp4pzC6kivAIhyfHilFR61RGL+GPXQ2MWZWFYbAGjyiYJnAmCP3NOTd0jMZEnDkbUvxhMmBYSdETk1rRgm+R4LOzFUGaHqHDLKLX+FIPKcF96hrucXzcWyLbIbEgE98OHlnVYCzRdK8jlqm8tehUc9c9WhQ== vagrant insecure public key' > /home/vagrant/.ssh/authorized_keys
RUN chmod 600 /home/vagrant/.ssh/authorized_keys
RUN chown -R vagrant:vagrant /home/vagrant
RUN echo 'vagrant ALL=(ALL:ALL) NOPASSWD:ALL' >> /etc/sudoers

This Dockerfile calls out to a separate script, called docker-entrypoint.sh, taken verbatim from AkihiroSuda’s repo, so here’s that file:

#!/bin/bash
set -ex
container=docker
export container

if [ $# -eq 0 ]; then
	echo >&2 'ERROR: No command specified. You probably want to run `journalctl -f`, or maybe `bash`?'
	exit 1
fi

if [ ! -t 0 ]; then
	echo >&2 'ERROR: TTY needs to be enabled (`docker run -t ...`).'
	exit 1
fi

env >/etc/docker-entrypoint-env

cat >/etc/systemd/system/docker-entrypoint.target <<EOF
[Unit]
Description=the target for docker-entrypoint.service
Requires=docker-entrypoint.service systemd-logind.service systemd-user-sessions.service
EOF
cat /etc/systemd/system/docker-entrypoint.target

quoted_args="$(printf " %q" "${@}")"
echo "${quoted_args}" >/etc/docker-entrypoint-cmd
cat /etc/docker-entrypoint-cmd

cat >/etc/systemd/system/docker-entrypoint.service <<EOF
[Unit]
Description=docker-entrypoint.service

[Service]
ExecStart=/bin/bash -exc "source /etc/docker-entrypoint-cmd"
# EXIT_STATUS is either an exit code integer or a signal name string, see systemd.exec(5)
ExecStopPost=/bin/bash -ec "if echo \${EXIT_STATUS} | grep [A-Z] > /dev/null; then echo >&2 \"got signal \${EXIT_STATUS}\"; systemctl exit \$(( 128 + \$( kill -l \${EXIT_STATUS} ) )); else systemctl exit \${EXIT_STATUS}; fi"
StandardInput=tty-force
StandardOutput=inherit
StandardError=inherit
WorkingDirectory=$(pwd)
EnvironmentFile=/etc/docker-entrypoint-env

[Install]
WantedBy=multi-user.target
EOF
cat /etc/systemd/system/docker-entrypoint.service

systemctl mask systemd-firstboot.service systemd-udevd.service
systemctl unmask systemd-logind
systemctl enable docker-entrypoint.service

systemd=
if [ -x /lib/systemd/systemd ]; then
	systemd=/lib/systemd/systemd
elif [ -x /usr/lib/systemd/systemd ]; then
	systemd=/usr/lib/systemd/systemd
elif [ -x /sbin/init ]; then
	systemd=/sbin/init
else
	echo >&2 'ERROR: systemd is not installed'
	exit 1
fi
systemd_args="--show-status=false --unit=multi-user.target"
echo "$0: starting $systemd $systemd_args"
exec $systemd $systemd_args

Now, if you were to run this straight in Docker, it will fail, because you must pass certain flags to Docker to get this to run. These flags are:

  • -t : pass a “TTY” to the shell
  • --tmpfs /tmp : Create a temporary filesystem in /tmp
  • --tmpfs /run : Create another temporary filesystem in /run
  • --tmpfs /run/lock : Apparently having a tmpfs in /run isn’t enough – you ALSO need one in /run/lock
  • -v /sys/fs/cgroup:/sys/fs/cgroup:ro : Mount the CGroup kernel configuration values into the container

(I found these flags via a RedHat blog post, and a Podman issue on Github.)

So, how would this look, if you were to try and run it?

docker exec -t --tmpfs /tmp --tmpfs /run --tmpfs /run/lock -v /sys/fs/cgroup:/sys/fs/cgroup:ro YourImage

Blimey, what a long set of text! Perhaps we could hide that behind something a bit more legible? Enter Vagrant.

Creating your Vagrantfile

Vagrant is an abstraction tool, designed to hide complicated virtualisation scripts into a simple command. In this case, we’re hiding a containerisation script into a simple command.

Like with the Dockerfile, I made extensive use of the two pages I mentioned before, as well as the two pages to get the flags to run this.

# Based on https://vtorosyan.github.io/ansible-docker-vagrant/
# and https://github.com/AkihiroSuda/containerized-systemd/
# and https://developers.redhat.com/blog/2016/09/13/running-systemd-in-a-non-privileged-container/
# with tweaks indicated by https://github.com/containers/podman/issues/3295
ENV['VAGRANT_DEFAULT_PROVIDER'] = 'docker'
Vagrant.configure("2") do |config|
  config.vm.provider "docker" do |d|
    d.build_dir       = "."
    d.has_ssh         = true
    d.remains_running = false
    d.create_args     = ['--tmpfs', '/tmp', '--tmpfs', '/run', '--tmpfs', '/run/lock', '-v', '/sys/fs/cgroup:/sys/fs/cgroup:ro', '-t']
  end
end

If you create that file, and run vagrant up you’ll get a working Vagrant boot… But if you try and execute any shell scripts, they’ll fail to run, as the they aren’t passed in with execute permissions… so I want to use Ansible to execute things, as these don’t require execute permissions on the /vagrant directory (also, as the thing I’m building in there requires Ansible… so it’s helpful either way 😁)

Executing Ansible scripts

Ansible still expects to find python in /usr/bin/python but current systems don’t make the symlink to /usr/bin/python3, as python was typically a symlink to /usr/bin/python2… and also I wanted to put the PPA for Ansible in the sources, which is what the Ansible team recommend in their documentation. I’ve done this as part of the Dockerfile, as again, I can’t run scripts from Vagrant. So, here’s the addition I made to the Dockerfile.

FROM debian_with_systemd AS debian_with_systemd_and_ansible
RUN apt install -y gnupg2 lsb-release software-properties-common
RUN apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 93C4A3FD7BB9C367
RUN add-apt-repository "deb http://ppa.launchpad.net/ansible/ansible/ubuntu trusty main"
RUN apt install -y ansible
# Yes, I know. Trusty? On Debian Buster?? But, that's what the Ansible Docs say!

In the Vagrantfile, I’ve added this block:

config.vm.provision "ansible_local" do |ansible|
  ansible.playbook = "test.yml"
end

And I created a test.yml, which looks like this:

---
- hosts: all
  tasks:
  - debug:
      msg: "Hello from Docker"

Running it

So how does this look on Windows when I run it?

PS C:\Dev\VagrantDockerBuster> vagrant up
==> default: Creating and configuring docker networks...
==> default: Building the container from a Dockerfile...
<SNIP A LOAD OF DOCKER STUFF>
    default: #20 DONE 0.1s
    default:
    default: Image: 190ffdeaeed0b7ed206097e6c1d4b5cc796a428700c9bd3e27eedacce47fb63b
==> default: Creating the container...
    default:   Name: 2021-02-13DockerBusterWithSSH_default_1613469604
    default:  Image: 190ffdeaeed0b7ed206097e6c1d4b5cc796a428700c9bd3e27eedacce47fb63b
    default: Volume: C:/Users/SPRIGGSJ/OneDrive - FUJITSU/Documents/95 My Projects/2021-02-13 Docker Buster With SSH:/vagrant
    default:   Port: 127.0.0.1:2222:22
    default:
    default: Container created: b64ed264d8949b12
==> default: Enabling network interfaces...
==> default: Starting container...
==> default: Waiting for machine to boot. This may take a few minutes...
    default: SSH address: 127.0.0.1:2222
    default: SSH username: vagrant
    default: SSH auth method: private key
    default:
    default: Vagrant insecure key detected. Vagrant will automatically replace
    default: this with a newly generated keypair for better security.
    default:
    default: Inserting generated public key within guest...
==> default: Machine booted and ready!
==> default: Running provisioner: ansible_local...
    default: Running ansible-playbook...

PLAY [all] *********************************************************************

TASK [Gathering Facts] *********************************************************
[WARNING]: Platform linux on host default is using the discovered Python
interpreter at /usr/bin/python, but future installation of another Python
interpreter could change this. See https://docs.ansible.com/ansible/2.9/referen
ce_appendices/interpreter_discovery.html for more information.
ok: [default]

TASK [debug] *******************************************************************
ok: [default] => {
    "msg": "Hello from Docker"
}

PLAY RECAP *********************************************************************
default                    : ok=2    changed=0    unreachable=0    failed=0    skipped=0    rescued=0    ignored=0   

PS C:\Dev\VagrantDockerBuster>

And on Linux?

Bringing machine 'default' up with 'docker' provider...
==> default: Creating and configuring docker networks...
==> default: Building the container from a Dockerfile...
<SNIP A LOAD OF DOCKER STUFF>
    default: Removing intermediate container e56bed4f7be9
    default:  ---> cef749c205bf
    default: Successfully built cef749c205bf
    default:
    default: Image: cef749c205bf
==> default: Creating the container...
    default:   Name: 2021-02-13DockerBusterWithSSH_default_1613470091
    default:  Image: cef749c205bf
    default: Volume: /home/spriggsj/Projects/2021-02-13 Docker Buster With SSH:/vagrant
    default:   Port: 127.0.0.1:2222:22
    default:
    default: Container created: 3fe46b02d7ad10ab
==> default: Enabling network interfaces...
==> default: Starting container...
==> default: Waiting for machine to boot. This may take a few minutes...
    default: SSH address: 127.0.0.1:2222
    default: SSH username: vagrant
    default: SSH auth method: private key
    default:
    default: Vagrant insecure key detected. Vagrant will automatically replace
    default: this with a newly generated keypair for better security.
    default:
    default: Inserting generated public key within guest...
    default: Removing insecure key from the guest if it's present...
    default: Key inserted! Disconnecting and reconnecting using new SSH key...
==> default: Machine booted and ready!
==> default: Running provisioner: ansible_local...
    default: Running ansible-playbook...

PLAY [all] *********************************************************************

TASK [Gathering Facts] *********************************************************
[WARNING]: Platform linux on host default is using the discovered Python
interpreter at /usr/bin/python, but future installation of another Python
interpreter could change this. See https://docs.ansible.com/ansible/2.9/referen
ce_appendices/interpreter_discovery.html for more information.
ok: [default]

TASK [debug] *******************************************************************
ok: [default] => {
    "msg": "Hello from Docker"
}

PLAY RECAP *********************************************************************
default                    : ok=2    changed=0    unreachable=0    failed=0    skipped=0    rescued=0    ignored=0

So, if you’re crazy and want to do Vagrant using Docker with Debian Buster and Ansible, this is how to do it. I don’t know how much I’m likely to be using this in the future, but if you use it, let me know what you’re doing with it! 😀

Featured image is “Family” by “Ivan” on Flickr and is released under a CC-BY license.

"Blueprints" by "Cameron Degelia" on Flickr

Using Architectural Decision Records (ADR) with adr-tools

Introducing Architectural Decision Records

Over the last week, I discovered a new tool for my arsenal called Architectural Decision Records (ADR). They were first written about in 2011, in a post called “Documenting Architecture Decisions“, where the author, Michael Nygard, advocates for short documents explaining each decision that influences the architecture of an environment.

I found this via a Github repository, created by the team at gov.uk, which includes their ADR library, and references the tool they use to manage these documents – adr-tools.

Late edit 2021-01-25: I also found a post which suggests that Spotify uses ADR.

Late edit 2021-08-11: I wrote a post about using other tooling.

Late edit 2021-12-14: I released (v0.0.1) my own rust-based application for making Decision Records. Yes, Decision Records – not Architecture Decision Records… because I think you should be able to apply the same logic to all decisions, not just architectural ones.

Installing adr-tools on Linux

Currently adr-tools are easier to install under OSX rather than Linux or Windows Subsystem for Linux (WSL) (I’m working on this – bear with me! 😃 ).

The current installation notes suggest for Linux (which would also work on WSL) is to download the latest release tar.gz or zip file and unpack it into your path somewhere. This isn’t exactly the best way to deploy anything on Linux, but… I guess it works right now?

For me, I downloaded the file, and unpacked the whole tar.gz file (as root) into /usr/local/bin/, giving me a directory of /usr/local/bin/adr-tools-3.0.0/. There’s a subdirectory in here, called src which contains a large number of files – mostly starting _adr or adr- and two additional files, init.md and template.md.

Rather than putting all of these files into /usr/local/bin directly, instead I leave them in the adr-tools-3.0.0 directory, and create a symbolic link (symlink) to the /usr/local/bin directory with this command:

cd /usr/local/bin
ln -s adr-tools-3.0.0/src/* .

This gives me all those files in one place, so I can refer to them later.

An aside – why link everything in that src directory? (Feel free to skip this block!)

Now, why, you might ask, do all of these unrelated files need to be in the same place? Well…. the author of the script has put this in at the top of almost all the files:

#!/bin/bash
set -e
eval "$($(dirname $0)/adr-config)"

And then in that script, it says:

#!/bin/bash
basedir=$(cd -L $(dirname $0) > /dev/null 2>&1 && pwd -L)
echo "adr_bin_dir=$basedir"
echo "adr_template_dir=$basedir"

There are, technically, good reasons for this! This is designed to be run in, what in the Windows world, you might call as a “Portable Script”. So, you bung adr-tools into some directory somewhere, and then just call adr somecommand and it knows that all the files are where they need to be. The (somewhat) down side to this is that if you just want to call adr somecommand rather than path/to/my/adr somecommand then all those files need to be there

I’m currently looking to see if I can improve this somewhat, so that it’s not quite so complex to install, but for now, that’s what you need.

Anyway…

Using adr-tools to document your decisions

I’ll start documenting a fictional hosted web service project, and note down some of the decisions which have been made.

Initializing your ADR directory

Start by running adr init. You may want to specify a directory where you want to put these records, so instead use: adr init path/to/adr, like this:

Initializing the ADR in “documentation/architecture-decisions” with adr init documentation/architecture-decisions

You’ll notice that when I run this command, it creates a new entry, called 0001-record-architecture-decisions.md. Let’s open this up, and see what’s in here.

The VSCode record for the choice to use ADR. It is a markdown file, with the standard types of data recorded.

In here we have the record ID (1.), the title of the record Record architecture decisions, the date the choice was made Date: 2021-01-19, a status of Accepted, the context on why we made this choice, the decision, and the consequences of making this decision. Make changes, if needed, and save it. Let’s move on.

Creating our first own record

This all is quite straightforward thus far. Let’s create our next record.

Issuing the command adr new <sometitle> you create the next ADR record.

Let’s open up that record.

The template for the ADR record for “Use AWS”.

Like the first record, we have a title, a status, a context, decision and consequences. Let’s define these.

A “finished” brief ADR record.

This document shouldn’t be very long! It just describes why a choice was made and what that entails.

Changing decisions – completely replacing (superseding) a decision

Of course, over time, decisions will be replaced due to various decisions elsewhere.

You can ask adr to supersede a previous record, using the “-s” flag, and the record number.

Let’s look at how that works on the second ADR record.

After the command adr new -s 2 Use Azure, the ADR record number 2 has a new status, “Superceded by” and the superseded linked document. Yes, “Superceded” is a typo. There is an open PR for it

So, under the “Status”, where is previously said “Approved”, it now says “Superceded by [3. Use Azure](0003-use-azure.md)“. This is a markdown statement which indicates where the superseded document is located. As I mentioned in the comment below the above image, there is an open Pull Request to fix this on the adr-tools, so hopefully that typo won’t last long!

We’ve got our new ADR too – let’s take a look at that one?

Our new ADR shows that it “supercedes” the previous record. Which is good! Typo aside :)

Other references

Of course, you don’t always completely overrule a decision. Sometimes your decision is influenced by, or has a dependency on something else, like this one.

We know which provider we’re using at long last, now let’s pick a region. Use the -l flag to “link” between the referenced and new ADR. The context for the -l flag is “<number>:<text for link to number>:<text for link in targetted document>”.

The command here is:

adr new -l '3:Dependency:Influences' Use Region UK South and UK West

I’m just going to crop from the “Status” block on both the referenced ADR (3) and the ADR which references it (4):

Status block in ADR 0003 which is referenced by ADR 0004
Status block in the new ADR 0004 which references ADR 0003

And of course, you can also use the same switch to mark documents as partially obsoleted, like this:

adr new -l '4:Partially obsoletes:Partially obsoleted by' Use West Europe region instead of UK West region
Status block in ADR 0004 indicating it’s partially obsoleted. Probably worth updating the status properly to show it’s not just “Accepted”.

If you forget to add the referencing in, you can also use the adr link command, like this:

adr link 3 Influences 5 Dependency

To be clear, that command adds a (complete) line to ADR 0003 saying “Influences [5. ADR Title](link)” and a separate (complete) line to ADR 0005 saying “Dependency [3. ADR Title](link)“.

What else can we do?

There are four other “things” that it’s worth doing at this point.

  1. Note that you can change the template per-ADR directory.

Create a directory called “templates” in the ADR directory, and put a file in there called “template.md“. Tweak this as you need. Ensure you have AT LEAST the line ## Status and # NUMBER. TITLE as these are required by the script.

A much abbreviated template file, containing just “Number”, “Title”, “Date”, “Status”, and a new dummy heading called “Stuff”.
And the result of running adr new Some Text once you’ve created that template.

As you can see, it’s possible to add all sorts of content in this template as a result. Bear in mind, before your template turns into something like this, that it’s supposed to be a short document explaining why each decision was made, not a funding proposal, or a complex epic of your user stories!

Be careful not to let your template run away with you!
  1. Note that you can automatically open an editor, by setting the EDITOR (where the process is expected to finish before returning control, like using nano, emacs or vim, for example) or VISUAL (where the process is expected to “fork”, like for example, gedit or vscode) environment variable, and then running adr new A Title, like this:
  1. We can create “Table of Contents” files, using the adr generate toc command, like this:
Generating the table of contents, for injecting into other files.

This can be included into your various other markdown files. There are switches, so you can set the link path, but your best bet is to find that using adr help generate toc.

  1. We can also generate graphviz files of the link maps between elements of the various ADRs, like this: adr generate graph | dot -Tjpg > graph.jpg

If you omit the “| dot -Tjpg > graph.jpg” part, then you’ll see the graphviz output, which looks like this: (I’ve removed the documents 6 and 7).

digraph {
  node [shape=plaintext];
  subgraph {
    _1 [label="1. Record architecture decisions"; URL="0001-record-architecture-decisions.html"];
    _2 [label="2. Use AWS"; URL="0002-use-aws.html"];
    _1 -> _2 [style="dotted", weight=1];
    _3 [label="3. Use Azure"; URL="0003-use-azure.html"];
    _2 -> _3 [style="dotted", weight=1];
    _4 [label="4. Use Region UK South and UK West"; URL="0004-use-region-uk-south-and-uk-west.html"];
    _3 -> _4 [style="dotted", weight=1];
    _5 [label="5. Use West Europe region instead of UK West region"; URL="0005-use-west-europe-region-instead-of-uk-west-region.html"];
    _4 -> _5 [style="dotted", weight=1];
  }
  _3 -> _2 [label="Supercedes", weight=0]
  _3 -> _5 [label="Influences", weight=0]
  _4 -> _3 [label="Dependency", weight=0]
  _5 -> _4 [label="Partially obsoletes", weight=0]
  _5 -> _3 [label="Dependency", weight=0]
}

To make the graphviz part work, you’ll need to install graphviz, which is just an apt get away.

Any caveats?

adr-tools is not actively maintained. I’ve contacted the author, about seeing if I can help out with the maintenance, but… we’ll see, and given some fairly high profile malware takeovers of projects like this sort of thing on Github, Docker, NPM, and more… I can see why there might be some reluctance to consider it! Also, I’m an unknown entity, I’ve just dropped in on the project and offered to help, with no previous exposure to the lead dev or the project… so, we’ll see. Worst case, I’ll fork it!

Working with this also requires an understanding of markdown files, and why these might be a useful document format for records like this. There was a PR submitted to support multiple file formats (like asciidoc and rst) but these were not approved by the author.

There is no current intention to support languages other than English. The tool is hard-coded to look for strings like “status” and “superceded” which is hard. Part of the reason I raised the PRs I did was to let me fix some of these sorts of issues. Again, we’ll see what happens.

Lastly, it can be overwhelming to see a lot of documents in one place, particularly if they’re as granular as the documents I produced in this demo. If the project supported categories, or could be broken down into components (like doc/adr/networking and doc/adr/server_builds and doc/adr/applications) then this might help, but it’s not on the roadmap right now!

Late edit 2021-01-25: If you don’t think these templates have enough context or content, there are lots of others listed on Joel Parker Henderson’s repo of examples and templates. If you want a python based viewer of ADR records, take a look at adr-viewer.

Featured image is “Blueprints” by “Cameron Degelia” on Flickr and is released under a CC-BY license.

"Raven" by "Jim Bahn" on Flickr

Sending SSH login notifications to Matrix via Huginn using Webhooks

On the Self Hosted Podcast’s Discord Server, someone posted a link to the following blog post, which I read and found really interesting…: https://blog.hay-kot.dev/ssh-notifications-in-home-assistant/

You see, the key part of that post wasn’t that they were posting to Home Assistant when they were logging in, but instead that they were triggering a webhook on login. And I can do stuff with Webhooks.

What’s a webhook?

A webhook is a callable URL, either with a “secret” embedded in the URL or some authentication header that lets you trigger an action of some sort. I first came across these with Github, but they’re pretty common now. Services will offer these as a way to get an action in one service to do something in another. A fairly common webhook for those getting started with these sorts of things is where creating a pull request (PR) on a Github repository will trigger a message on something like Slack to say the PR is there.

Well, that’s all well and good, but what does Matrix or Huginn have to do with things?

Matrix is a decentralized, end to end encrypted, eventually consistent database system, that just happens to be used extensively as a chat network. In particular, it’s used by Open Source projects, like KDE and Mozilla, and by Government bodies, like the whole French goverment (lead by DINSIC) the German Bundeswehr (Unified Armed Forces) department.

Matrix has a reference client, Element, that was previously called “Riot”, and in 2018 I produced a YouTube video showing how to bridge various alternative messaging systems into Matrix.

Huginn describes itself as:

Huginn is a system for building agents that perform automated tasks for you online. They can read the web, watch for events, and take actions on your behalf. Huginn’s Agents create and consume events, propagating them along a directed graph. Think of it as a hackable version of IFTTT or Zapier on your own server. You always know who has your data. You do.

Huginn Readme

With Huginn, I can create “agents”, including a “receive webhook agent” that will take the content I send, and tweak it to do something else. In the past I used IFTTT to do some fun things, like making this blog work, but now I use Huginn to post Tweets when I post to this blog.

So that I knew that Huginn was posting my twitter posts, I created a Matrix room called “Huginn Alerts” and used the Matrix account I created for the video I mentioned before to send me messages that it had made the posts I wanted. I followed the guidance from this page to do it: https://drwho.virtadpt.net/archive/2020-02-12/integrating-huginn-with-a-matrix-server/

Enough already. Just show me what you did.

In Element.io

  1. Get an access token for the Matrix account you want to post with.

Log into the web interface at https://app.element.io and go to your settings

Click where it says your handle, then click on where it says “All Settings”.

Then click on “Help & About” and scroll to the bottom of that page, where it says “Advanced”

Get to the “Advanced” part of the settings, under “Help & About” to get your access token.

Click where it says “Access Token: <click to reveal>” (strangely, I’m not posting that 😉)

  1. Click on the room, then click on it’s name at the top to open the settings, then click on “Advanced” to get the “Internal room ID”
Gettng the Room ID. Note, it starts with an exclamation mark (!) and ends :<servername>.

In Huginn

  1. Go to the “Credentials” tab, and click on “New Credential”. Give the credential a name (perhaps “Matrix Bot Access Token”), leave it as text and put your access token in here.
  1. Create a Credential for the Room ID. Like before, name it something sensible and put the ID you found earlier.
  1. Create a “Post Agent” by going to Agents and selecting “New agent”. This will show just the “Type” box. You can type in this box to put “Post Agent” and then find it. That will then provide you with the rest of these boxes. Provide a name, and tick the box marked “Propagate immediately”. I’ll cover the content of the “Options” box after this screenshot.

In the “Options” block is a button marked “Toggle View”. Select this which turns it from the above JSON pretty editor, into this text field (note your text is likely to be different):

My content of that box is as follows:

{
  "post_url": "https://matrix.org/_matrix/client/r0/rooms/{% credential Personal_Matrix_Notification_Channel %}/send/m.room.message?access_token={% credential Matrix_Bot_Access_Credential %}",
  "expected_receive_period_in_days": "365",
  "content_type": "json",
  "method": "post",
  "payload": {
    "msgtype": "m.text",
    "body": "{{ text }}"
  },
  "emit_events": "true",
  "no_merge": "false",
  "output_mode": "clean"
}

Note that the “post_url” value contains two “credential” values, like this:

{% credential Personal_Matrix_Notification_Channel %} (this is the Room ID we found earlier) and {% credential Matrix_Bot_Access_Credential %} (this is the Access Token we found earlier).

If you’ve used different names for these values (which are perfectly valid!) then just change these two. The part where it says “{{ text }}” leave there, because we’ll be using that in a later section. Click “Save” (the blue button at the bottom).

  1. Create a Webhook Agent. Go to Agents and then “New Agent”. Select “Webhook Agent” from the “Type” field. Give it a name, like “SSH Logged In Notification Agent”. Set “Keep Events” to a reasonable number of days, like 5. In “Receivers” find the Notification agent you created (“Send Matrix Message to Notification Room” was the name I used). Then, in the screenshot, I’ve pressed the “Toggle View” button on the “Options” section, as this is, to me a little clearer.

The content of the “options” box is:

{
  "secret": "supersecretstring",
  "expected_receive_period_in_days": 365,
  "payload_path": ".",
  "response": ""
}

Change the “secret” from “supersecretstring” to something a bit more useful and secure.

The “Expected Receive Period in Days” basically means, if you’ve not had an event cross this item in X number of days, does Huginn think this agent is broken? And the payload path of “.” basically means “pass everything to the next agent”.

Once you’ve completed this step, press “Save” which will take you back to your agents, and then go into the agent again. This will show you a page like this:

Copy that URL, because you’ll need it later…

On the server you are logging the SSH to

As root, create a file called /etc/ssh/sshrc. This file will be your script that will run every time someone logs in. It must have the file permissions 0644 (u+rw,g+r,o+r), which means that there is a slight risk that the Webhook secret is exposed.

The content of that file is as follows:

#!/bin/sh
ip="$(echo "$SSH_CONNECTION" | cut -d " " -f 1)"
curl --silent\
     --header "Content-Type: application/json"\
     --request POST\
     --data '{
       "At": "'"$(date -Is)"'",
       "Connection": "'"$SSH_CONNECTION"'",
       "User": "'"$USER"'",
       "Host": "'"$(hostname)"'",
       "Src": "'"$ip"'",
       "text": "'"$USER@$(hostname) logged in from $ip at $(date +%H:%M:%S)"'"
     }'\
     https://my.huginn.website/some/path/web_requests/taskid/secret

The heading line (#!/bin/sh) is more there for shellcheck, as, according to the SSH man page this is executed by /bin/sh either way.

The bulk of these values (At, Connection, User, Host or Src) are not actually used by Huginn, but might be useful for later… the key one is text, which if you recall from the “Send Matrix Message to Notification Room” Huginn agent, we put {{ text }} into the “options” block – that’s this block here!

So what happens when we log in over SSH?

SSH asks the shell in the user’s context to execute /etc/ssh/sshrc before it hands over to the user’s login session. This script calls curl and hands some POST data to the url.

Huginn receives this POST via the “SSH Logged In Notification Agent”, and files it.

Huginn then hands that off to the “Send Matrix Message to Notification Room”:

Huginn makes a POST to the Matrix.org server, and Matrix sends the finished message to all the attached clients.

Featured image is “Raven” by “Jim Bahn” on Flickr and is released under a CC-BY license.

"The Guitar Template" by "Neil Williamson" on Flickr

Testing (and failing inline) for data types in Ansible

I tend to write long and overly complicated set_fact statements in Ansible, ALL THE DAMN TIME. I write stuff like this:

rulebase: |
  {
    {% for var in vars | dict2items %}
      {% if var.key | regex_search(regex_rulebase_match) | type_debug != "NoneType"
        and (
          var.value | type_debug == "dict" 
          or var.value | type_debug == "AnsibleMapping"
        ) %}
        {% for item in var.value | dict2items %}
          {% if item.key | regex_search(regex_rulebase_match) | type_debug != "NoneType"
            and (
              item.value | type_debug == "dict" 
              or item.value | type_debug == "AnsibleMapping"
            ) %}
            "{{ var.key | regex_replace(regex_rulebase_match, '\2') }}{{ item.key | regex_replace(regex_rulebase_match, '\2') }}": {
              {# This block is used for rulegroup level options #}
              {% for key in ['log_from_start', 'log', 'status', 'nat', 'natpool', 'schedule', 'ips_enable', 'ssl_ssh_profile', 'ips_sensor'] %}
                {% if var.value[key] is defined and rule.value[key] is not defined %}
                  {% if var.value[key] | type_debug in ['string', 'AnsibleUnicode'] %}
                    "{{ key }}": "{{ var.value[key] }}",
                  {% else %}
                    "{{ key }}": {{ var.value[key] }},
                  {% endif %}
                {% endif %}
              {% endfor %}
              {% for rule in item.value | dict2items %}
                {% if rule.key in ['sources', 'destinations', 'services', 'src_internet_service', 'dst_internet_service'] and rule.value | type_debug not in ['list', 'AnsibleSequence'] %}
                  "{{ rule.key }}": ["{{ rule.value }}"],
                {% elif rule.value | type_debug in ['string', 'AnsibleUnicode'] %}
                  "{{ rule.key }}": "{{ rule.value }}",
                {% else %}
                  "{{ rule.key }}": {{ rule.value }},
                {% endif %}
              {% endfor %}
            },
          {% endif %}
        {% endfor %}
      {% endif %}
    {% endfor %}
  }

Now, if you’re writing set_fact or vars like this a lot, what you tend to end up with is the dreaded dict2items requires a dictionary, got instead. which basically means “Hah! You wrote a giant blob of what you thought was JSON, but didn’t render right, so we cast it to a string for you!”

The way I usually write my playbooks, I’ll do something with this set_fact at line, let’s say, 10, and then use it at line, let’s say, 500… So, I don’t know what the bloomin’ thing looks like then!

So, how to get around that? Well, you could do a type check. In fact, I wrote a bloomin’ big blog post explaining just how to do that!

However, that gets unwieldy really quickly, and what I actually wanted to do was to throw the breaks on as soon as I’d created an invalid data type. So, to do that, I created a collection of functions which helped me with my current project, and they look a bit like this one, called “is_a_string.yml“:

- name: Type Check - is_a_string
  assert:
    quiet: yes
    that:
    - vars[this_key] is not boolean
    - vars[this_key] is not number
    - vars[this_key] | int | string != vars[this_key] | string
    - vars[this_key] | float | string != vars[this_key] | string
    - vars[this_key] is string
    - vars[this_key] is not mapping
    - vars[this_key] is iterable
    success_msg: "{{ this_key }} is a string"
    fail_msg: |-
      {{ this_key }} should be a string, and is instead
      {%- if vars[this_key] is not defined %} undefined
      {%- else %} {{ vars[this_key] is boolean | ternary(
        'a boolean',
        (vars[this_key] | int | string == vars[this_key] | string) | ternary(
          'an integer',
          (vars[this_key] | float | string == vars[this_key] | string) | ternary(
            'a float',
            vars[this_key] is string | ternary(
              'a string',
              vars[this_key] is mapping | ternary(
                'a dict',
                vars[this_key] is iterable | ternary(
                  'a list',
                  'unknown (' ~ vars[this_key] | type_debug ~ ')'
                )
              )
            )
          )
        )
      )}}{% endif %} - {{ vars[this_key] | default('unset') }}

To trigger this, I do the following:

- hosts: localhost
  gather_facts: false
  vars:
    SomeString: abc123
    SomeDict: {'somekey': 'somevalue'}
    SomeList: ['somevalue']
    SomeInteger: 12
    SomeFloat: 12.0
    SomeBoolean: false
  tasks:
  - name: Type Check - SomeString
    vars:
      this_key: SomeString
    include_tasks: tasks/type_check/is_a_string.yml
  - name: Type Check - SomeDict
    vars:
      this_key: SomeDict
    include_tasks: tasks/type_check/is_a_dict.yml
  - name: Type Check - SomeList
    vars:
      this_key: SomeList
    include_tasks: tasks/type_check/is_a_list.yml
  - name: Type Check - SomeInteger
    vars:
      this_key: SomeInteger
    include_tasks: tasks/type_check/is_an_integer.yml
  - name: Type Check - SomeFloat
    vars:
      this_key: SomeFloat
    include_tasks: tasks/type_check/is_a_float.yml
  - name: Type Check - SomeBoolean
    vars:
      this_key: SomeBoolean
    include_tasks: tasks/type_check/is_a_boolean.yml

I hope this helps you, bold traveller with complex jinja2 templating requirements!

(Oh, and if you get “template error while templating string: no test named 'boolean'“, you’re probably running Ansible which you installed using apt from Ubuntu Universe, version 2.9.6+dfsg-1 [or, at least I was!] – to fix this, use pip to install a more recent version – preferably using virtualenv first!)

Featured image is “The Guitar Template” by “Neil Williamson” on Flickr and is released under a CC-BY-SA license.

'Geocache "Goodies"' by 'sk' on Flickr

Caching online data sources in Ansible for later development or testing

My current Ansible project relies on me collecting a lot of data from AWS and then checking it again later, to see if something has changed.

This is great for one-off tests (e.g. terraform destroy ; terraform apply ; ansible-playbook run.yml) but isn’t great for repetitive tests, especially if you have to collect data that may take many minutes to run all the actions, or if you have slow or unreliable internet in your development environment.

To get around this, I wrote a wrapper for caching this data.

At the top of my playbook, run.yml, I have these tasks:

- name: Set Online Status.
  # This stores the value of run_online, unless run_online
  # is not set, in which case, it defines it as "true".
  ansible.builtin.set_fact:
    run_online: |-
      {{- run_online | default(true) | bool -}}

- name: Create cache_data path.
  # This creates a "cached_data" directory in the same
  # path as the playbook.
  when: run_online | bool and cache_data | default(false) | bool
  delegate_to: localhost
  run_once: true
  file:
    path: "cached_data"
    state: directory
    mode: 0755

- name: Create cache_data for host.
  # This creates a directory under "cached_data" in the same
  # path as the playbook, with the name of each of the inventory
  # items.
  when: run_online | bool and cache_data | default(false) | bool
  delegate_to: localhost
  file:
    path: "cached_data/{{ inventory_hostname }}"
    state: directory
    mode: 0755

Running this sets up an expectation for the normal operation of the playbook, that it will be “online”, by default.

Then, every time I need to call something “online”, for example, collect EC2 Instance Data (using the community.aws.ec2_instance_info module), I call out to (something like) this set of tasks, instead of just calling the task by itself.

- name: List all EC2 instances in the regions of interest.
  when: run_online | bool
  community.aws.ec2_instance_info:
    region: "{{ item.region_name }}"
  loop: "{{ regions }}"
  loop_control:
    label: "{{ item.region_name }}"
  register: regional_ec2

- name: "NOTE: Set regional_ec2 data path"
  when: not run_online | bool or cache_data | default(false) | bool
  set_fact:
    regional_ec2_cached_data_file_loop: "{{ regional_ec2_cached_data_file_loop | default(0) | int + 1 }}"
    cached_data_filename: "cached_data/{{ inventory_hostname }}/{{ cached_data_file | default('regional_ec2') }}.{{ regional_ec2_cached_data_file_loop | default(0) | int + 1 }}.json"

- name: "NOTE: Cache/Get regional_ec2 data path"
  when: not run_online | bool or cache_data | default(false) | bool
  debug:
    msg: "File: {{ cached_data_filename }}"

- name: Cache all EC2 instances in the regions of interest.
  when: run_online | bool and cache_data | default(false) | bool
  delegate_to: localhost
  copy:
    dest: "{{ cached_data_filename }}"
    mode: "0644"
    content: "{{ regional_ec2 }}"

- name: "OFFLINE: Load all EC2 instances in the regions of interest."
  when: not run_online | bool
  set_fact:
    regional_ec2: "{% include( cached_data_filename ) %}"

The first task, if it’s still set to being “online” will execute the task, and registers the result for later. If cache_data is configured, we generate a filename for the caching, record the filename to the log (via the debug task) and then store it (using the copy task). So far, so online… but what happens when we don’t need the instance to be up and running?

In that case, we use the set_fact module, triggered by running the playbook like this: ansible-playbook run.yml -e run_online=false. This reads the cached data out of that locally stored pool of data for later use.

Featured image is ‘Geocache “Goodies”‘ by ‘sk‘ on Flickr and is released under a CC-BY-ND license.

"Main console" by "Steve Parker" on Flickr

Running services (like SSH, nginx, etc) on Windows Subsystem for Linux (WSL1) on boot

I recently got a new laptop, and for various reasons, I’m going to be primarily running Windows on that laptop. However, I still like having a working SSH server, running in the context of my Windows Subsystem for Linux (WSL) environment.

Initially, trying to run service ssh start failed with an error, because you need to re-execute the ssh configuration steps which are missed in a WSL environment. To fix that, run sudo apt install --reinstall openssh-server.

Once you know your service runs OK, you start digging around to find out how to start it on boot, and you’ll see lots of people saying things like “Just run a shell script that starts your first service, and then another shell script for the next service.”

Well, the frustration for me is that Linux already has this capability – the current popular version is called SystemD, but a slightly older variant is still knocking around in modern linux distributions, and it’s called SystemV Init, often referred to as just “sysv” or “init.d”.

The way that those services work is that you have an “init” file in /etc/init.d and then those files have a symbolic link into a “runlevel” directory, for example /etc/rc3.d. Each symbolic link is named S##service or K##service, where the ## represents the order in which it’s to be launched. The SSH Daemon, for example, that I want to run is created in there as /etc/rc3.d/S01ssh.

So, how do I make this work in the grander scheme of WSL? I can’t use SystemD, where I could say systemctl enable --now ssh, instead I need to add a (yes, I know) shell script, which looks in my desired runlevel directory. Runlevel 3 is the level at which network services have started, hence using that one. If I was trying to set up a graphical desktop, I’d instead be looking to use Runlevel 5, but the X Windows system isn’t ported to Windows like that yet… Anyway.

Because the rc#.d directory already has this structure for ordering and naming services to load, I can just step over this directory looking for files which match or do not match the naming convention, and I do that with this script:

#! /bin/bash
function run_rc() {
  base="$(basename "$1")"
  if [[ ${base:0:1} == "S" ]]
  then
    "$1" start
  else
    "$1" stop
  fi
}

if [ "$1" != "" ] && [ -e "$1" ]
then
  run_rc "$1"
else
  rc=3
  if [ "$1" != "" ] && [ -e "/etc/rc${$1}.d/" ]
  then
    rc="$1"
  fi
  for digit1 in {0..9}
  do
    for digit2 in {0..9}
    do
      find "/etc/rc${rc}.d/" -name "[SK]${digit1}${digit2}*" -exec "$0" '{}' \; 2>/dev/null
    done
  done
fi

I’ve put this script in /opt/wsl_init.sh

This does a bit of trickery, but basically runs the bottom block first. It loops over the digits 0 to 9 twice (giving you 00, 01, 02 and so on up to 99) and looks in /etc/rc3.d for any file containing the filename starting S or K and then with the two digits you’ve looped to by that point. Finally, it runs itself again, passing the name of the file it just found, and this is where the top block comes in.

In the top block we look at the “basename” – the part of the path supplied, without any prefixed directories attached, and then extract just the first character (that’s the ${base:0:1} part) to see whether it’s an “S” or anything else. If it’s an S (which everything there is likely to be), it executes the task like this: /etc/rc3.d/S01ssh start and this works because it’s how that script is designed! You can run one of the following instances of this command: service ssh start, /etc/init.d/ssh start or /etc/rc3.d/S01ssh start. There are other options, notably “stop” or “status”, but these aren’t really useful here.

Now, how do we make Windows execute this on boot? I’m using NSSM, the “Non-sucking service manager” to add a line to the Windows System services. I placed the NSSM executable in C:\Program Files\nssm\nssm.exe, and then from a command line, ran C:\Program Files\nssm\nssm.exe install WSL_Init.

I configured it with the Application Path: C:\Windows\System32\wsl.exe and the Arguments: -d ubuntu -e sudo /opt/wsl_init.sh. Note that this only works because I’ve also got Sudo setup to execute this command without prompting for a password.

Here I invoke C:\Windows\System32\wsl.exe -d ubuntu -e sudo /opt/wsl_init.sh
I define the name of the service, as Services will see it, and also the description of the service.
I put in MY username and My Windows Password here, otherwise I’m not running WSL in my user context, but another one.

And then I rebooted. SSH was running as I needed it.

Featured image is “Main console” by “Steve Parker” on Flickr and is released under a CC-BY license.

"inventory" by "Lee" on Flickr

Using a AWS Dynamic Inventory with Ansible 2.10

In Ansible 2.10, Ansible started bundling modules and plugins as “Collections”, basically meaning that Ansible didn’t need to make a release every time a vendor wanted to update the libraries it required, or API changes required new fields to be supplied to modules. As part of this split between “Collections” and “Core”, the AWS modules and plugins got moved into a collection.

Now, if you’re using Ansible 2.9 or earlier, this probably doesn’t impact you, but there are some nice features in Ansible 2.10 that I wanted to use, so… buckle up :)

Getting started with Ansible 2.10, using a virtual environment

If you currently are using Ansible 2.9, it’s probably worth creating a “python virtual environment”, or “virtualenv” to try out Ansible 2.10. I did this on my Ubuntu 20.04 machine by typing:

sudo apt install -y virtualenv
mkdir -p ~/bin
cd ~/bin
virtualenv -p python3 ansible_2.10

The above ensures that you have virtualenv installed, creates a directory called “bin” in your home directory, if it doesn’t already exist, and then places the virtual environment, using Python3, into a directory there called “ansible_2.10“.

Whenever we want to use this new environment you must activate it, using this command:

source ~/bin/ansible_2.10/bin/activate

Once you’ve executed this, any binary packages created in that virtual environment will be executed from there, in preference to the file system packages.

You can tell that you’ve “activated” this virtual environment, because your prompt changes from user@HOST:~$ to (ansible_2.10) user@HOST:~$ which helps 😀

Next, let’s create a requirements.txt file. This will let us install the environment in a repeatable manner (which is useful with Ansible). Here’s the content of this file.

ansible>=2.10
boto3
botocore

So, this isn’t just Ansible, it’s also the supporting libraries we’ll need to talk to AWS from Ansible.

We execute the following command:

pip install -r requirements.txt

Note, on Windows Subsystem for Linux version 1 (which I’m using) this will take a reasonable while, particularly if it’s crossing from the WSL environment into the Windows environment, depending on where you have specified the virtual environment to be placed.

If you get an error message about something to do with being unable to install ffi, then you’ll need to install the package libffi-dev with sudo apt install -y libffi-dev and then re-run the pip install command above.

Once the installation has completed, you can run ansible --version to see something like the following:

ansible 2.10.2
  config file = None
  configured module search path = ['/home/user/.ansible/plugins/modules', '/usr/share/ansible/plugins/modules']
  ansible python module location = /home/user/ansible_2.10/lib/python3.8/site-packages/ansible
  executable location = /home/user/ansible_2.10/bin/ansible
  python version = 3.8.2 (default, Jul 16 2020, 14:00:26) [GCC 9.3.0]

Configuring Ansible for local collections

Ansible relies on certain paths in the filesystem to store things like collections, roles and modules, but I like to circumvent these things – particularly if I’m developing something, or moving from one release to the next. Fortunately, Ansible makes this very easy, using a single file, ansible.cfg to tell the code that’s running in this path where to find things.

A quick note on File permissions with ansible.cfg

Note that the POSIX file permissions for the directory you’re in really matter! It must be set to 775 (-rwxrwxr-x) as a maximum – if it’s “world writable” (the last number) it won’t use this file! Other options include 770, 755. If you accidentally set this as world writable, or are using a directory from the “Windows” side of WSL, then you’ll get an error message like this:

[WARNING]: Ansible is being run in a world writable directory (/home/user/ansible_2.10_aws), ignoring it as an ansible.cfg source. For more information see
https://docs.ansible.com/ansible/devel/reference_appendices/config.html#cfg-in-world-writable-dir

That link is this one: https://docs.ansible.com/ansible/devel/reference_appendices/config.html#cfg-in-world-writable-dir and has some useful advice.

Back to configuring Ansible

In ansible.cfg, I have the following configured:

[defaults]
collections_paths = ./collections:~/.ansible/collections:/usr/share/ansible/collections

This file didn’t previously exist in this directory, so I created that file.

This block asks Ansible to check the following paths in order:

  • collections in this path (e.g. /home/user/ansible_2.10_aws/collections)
  • collections in the .ansible directory under the user’s home directory (e.g. /home/user/.ansible/collections)
  • and finally /usr/share/ansible/collections for system-wide collections.

If you don’t configure Ansible with the ansible.cfg file, the default is to store the collections in ~/.ansible/collections, but you can “only have one version of the collection”, so this means that if you’re relying on things not to change when testing, or if you’re running multiple versions of Ansible on your system, then it’s safest to store the collections in the same file tree as you’re working in!

Installing Collections

Now we have Ansible 2.10 installed, and our Ansible configuration file set up, let’s get our collection ready to install. We do this with a requirements.yml file, like this:

---
collections:
- name: amazon.aws
  version: ">=1.2.1"

What does this tell us? Firstly, that we want to install the Amazon AWS collection from Ansible Galaxy. Secondly that we want at least the most current version (which is currently version 1.2.1). If you leave the version line out, it’ll get “the latest” version. If you replace ">=1.2.1" with 1.2.1 it’ll install exactly that version from Galaxy.

If you want any other collections, you add them as subsequent lines (more details here), like this:

collections:
- name: amazon.aws
  version: ">=1.2.1"
- name: some.other
- name: git+https://example.com/someorg/somerepo.git
  version: 1.0.0
- name: git@example.com:someorg/someotherrepo.git

Once we’ve got this file, we run this command to install the content of the requirements.yml: ansible-galaxy collection install -r requirements.yml

In our case, this installs just the amazon.aws collection, which is what we want. Fab!

Getting our dynamic inventory

Right, so we’ve got all the pieces now that we need! Let’s tell Ansible that we want it to ask AWS for an inventory. There are three sections to this.

Configuring Ansible, again!

We need to open up our ansible.cfg file. Because we’re using the collection to get our Dynamic Inventory plugin, we need to tell Ansible to use that plugin. Edit ./ansible.cfg in your favourite editor, and add this block to the end:

[inventory]
enable_plugins = aws_ec2

If you previously created the ansible.cfg file when you were setting up to get the collection installed alongside, then your ansible.cfg file will look (something) like this:

[defaults]
collections_paths     = ./collections:~/.ansible/collections:/usr/share/ansible/collections

[inventory]
enable_plugins = amazon.aws.aws_ec2

Configure AWS

Your machine needs to have access tokens to interact with the AWS API. These are stored in ~/.aws/credentials (e.g. /home/user/.aws/credentials) and look a bit like this:

[default]
aws_access_key_id = A1B2C3D4E5F6G7H8I9J0
aws_secret_access_key = A1B2C3D4E5F6G7H8I9J0a1b2c3d4e5f6g7h8i9j0

Set up your inventory

In a bit of a change to how Ansible usually does the inventory, to have a plugin based dynamic inventory, you can’t specify a file any more, you have to specify a directory. So, create the file ./inventory/aws_ec2.yaml (having created the directory inventory first). The file contains the following:

---
plugin: amazon.aws.aws_ec2

Late edit 2020-12-01: Further to the comment by Giovanni, I’ve amended this file snippet from plugin: aws_ec2 to plugin: amazon.aws.aws_ec2.

By default, this just retrieves the hostnames of any running EC2 instance, as you can see by running ansible-inventory -i inventory --graph

@all:
  |--@aws_ec2:
  |  |--ec2-176-34-76-187.eu-west-1.compute.amazonaws.com
  |  |--ec2-54-170-131-24.eu-west-1.compute.amazonaws.com
  |  |--ec2-54-216-87-131.eu-west-1.compute.amazonaws.com
  |--@ungrouped:

I need a bit more detail than this – I like to use the tags I assign to AWS assets to decide what I’m going to target the machines with. I also know exactly which regions I’ve got my assets in, and what I want to use to get the names of the devices, so this is what I’ve put in my aws_ec2.yaml file:

---
plugin: amazon.aws.aws_ec2
keyed_groups:
- key: tags
  prefix: tag
- key: 'security_groups|json_query("[].group_name")'
  prefix: security_group
- key: placement.region
  prefix: aws_region
- key: tags.Role
  prefix: role
regions:
- eu-west-1
hostnames:
- tag:Name
- dns-name
- public-ip-address
- private-ip-address

Late edit 2020-12-01: Again, I’ve amended this file snippet from plugin: aws_ec2 to plugin: amazon.aws.aws_ec2.

Now, when I run ansible-inventory -i inventory --graph, I get this output:

@all:
  |--@aws_ec2:
  |  |--euwest1-firewall
  |  |--euwest1-demo
  |  |--euwest1-manager
  |--@aws_region_eu_west_1:
  |  |--euwest1-firewall
  |  |--euwest1-demo
  |  |--euwest1-manager
  |--@role_Firewall:
  |  |--euwest1-firewall
  |--@role_Firewall_Manager:
  |  |--euwest1-manager
  |--@role_VM:
  |  |--euwest1-demo
  |--@security_group_euwest1_allow_all:
  |  |--euwest1-firewall
  |  |--euwest1-demo
  |  |--euwest1-manager
  |--@tag_Name_euwest1_firewall:
  |  |--euwest1-firewall
  |--@tag_Name_euwest1_demo:
  |  |--euwest1-demo
  |--@tag_Name_euwest1_manager:
  |  |--euwest1-manager
  |--@tag_Role_Firewall:
  |  |--euwest1-firewall
  |--@tag_Role_Firewall_Manager:
  |  |--euwest1-manager
  |--@tag_Role_VM:
  |  |--euwest1-demo
  |--@ungrouped:

To finish

Now you have your dynamic inventory, you can target your playbook at any of the groups listed above (like role_Firewall, aws_ec2, aws_region_eu_west_1 or some other tag) like you would any other inventory assignment, like this:

---
- hosts: role_Firewall
  gather_facts: false
  tasks:
  - name: Show the name of this device
    debug:
      msg: "{{ inventory_hostname }}"

And there you have it. Hope this is useful!

Late edit: 2020-11-23: Following a conversation with Andy from Work, we’ve noticed that if you’re trying to do SSM connections, rather than username/password based ones, you might want to put this in your aws_ec2.yml file:

---
plugin: amazon.aws.aws_ec2
hostnames:
  - tag:Name
compose:
  ansible_host: instance_id
  ansible_connection: 'community.aws.aws_ssm'

Late edit 2020-12-01: One final instance, I’ve changed plugin: aws_ec2 to plugin: amazon.aws.aws_ec2.

This will keep your hostnames “pretty” (with whatever you’ve tagged it as), but will let you connect over SSM to the Instance ID. Good fun :)

Featured image is “inventory” by “Lee” on Flickr and is released under a CC-BY-SA license.

"centos login" by "fsse8info" on Flickr

Getting the default username and AMI for an OS with #Terraform

I have a collection of AWS AMIs I use for various builds at work. These come from two places – the AWS Marketplace and our internal Build process.

Essentially, our internal builds (for those who work for my employer – these are the OptiMISe builds) are taken from specific AWS Marketplace builds and hardened.

Because I don’t want to share the AMI details when I put stuff on GitHub, I have an override.tf file that handles the different AMI search strings. So, here’s the ami.tf file I have with the AWS Marketplace version:

data "aws_ami" "centos7" {
  most_recent = true

  filter {
    name   = "name"
    values = ["CentOS Linux 7 x86_64 HVM EBS ENA*"]
  }

  filter {
    name   = "architecture"
    values = ["x86_64"]
  }

  owners = ["679593333241"] # CentOS Project
}

And here’s an example of the override.tf file I have:

data "aws_ami" "centos7" {
  most_recent = true

  filter {
    name   = "name"
    values = ["SomeUniqueString Containing CentOS*"]
  }

  owners = ["123456789012"]
}

Next, I put these AMI images into a “null” data source, which is evaluated at runtime:

data "null_data_source" "os" {
  inputs = {
    centos7 = data.aws_ami.centos7.id
  }
}

I always forget which username goes with each image, so in the ami.tf file, I also have this:

variable "username" {
  type = map(string)
  default = {
    centos7 = "centos"
  }
}

And in the override.tf file, I have this:

variable "username" {
  type = map(string)
  default = {
    centos7 = "someuser"
  }
}

To get the right combination of username and AMI, I have this in the file where I create my “instance” (virtual machine):

variable "os" {
  default = "centos7"
}

resource "aws_instance" "vm01" {
  ami = data.null_data_source.os.outputs[var.os]
  # additional lines omitted for brevity
}

output "username" {
  value = var.username[var.os]
}

output "vm01" {
  value = aws_instance.vm01.public_ip
}

And that way, I get the VM’s default username and IP address on build. Nice.

Late edit – 2020-09-20: It’s worth noting that this is fine for short-lived builds, proof of concept, etc. But, for longer lived environments, you should be calling out exactly which AMI you’re using, right from the outset. That way, your builds will (or should) all start out from the same point, no ambiguity about exactly which point release they’re getting, etc.

Featured image is “centos login” by “fsse8info” on Flickr and is released under a CC-BY-SA license.

"Stockholms Stadsbibliotek" by "dilettantiquity" on Flickr

Terraform templates with Maps

For a project I’m working on, I needed to define a list of ports, and set some properties on some of them. In the Ansible world, you’d use statements like:

{% if data.somekey is defined %}something {{ data.somekey }}{% endif %}

or

{{ data.somekey | default('') }}

In a pinch, you can also do this:

{{ (data | default({}) ).somekey | default('') }}

With Terraform, I was finding it much harder to work out how to find whether a value as part of a map (the Terraform term for a Dictionary in Ansible terms, or an Associative Array in PHP terms), until I stumbled over the Lookup function. Here’s how that looks for just a simple Terraform file:

output "test" {
    value = templatefile(
        "template.tmpl",
        {
            ports = {
                "eth0": {"ip": "192.168.1.1/24", "name": "public"}, 
                "eth1": {"ip": "172.16.1.1/24", "name": "protected"}, 
                "eth2": {"ip": "10.1.1.1/24", "name": "management", "management": true}, 
                "eth3": {}
            },
            management = "1"
        }
    )
}

And the template that goes with that?

%{ for port, data in ports ~}
Interface: ${port}%{ if lookup(data, "name", "") != ""}
Alias: ${ lookup(data, "name", "") }%{ endif }
Services: ping%{ if lookup(data, "management", false) == true } ssh https%{ endif }
IP: ${ lookup(data, "ip", "Not Defined") }

%{ endfor }

This results in the following output:

C:\tf>terraform.exe apply -auto-approve

Apply complete! Resources: 0 added, 0 changed, 0 destroyed.

Outputs:

test = Interface: eth0
Alias: public
Services: ping
IP: 192.168.1.1/24

Interface: eth1
Alias: protected
Services: ping
IP: 172.16.1.1/24

Interface: eth2
Alias: management
Services: ping ssh https
IP: 10.1.1.1/24

Interface: eth3
Services: ping
IP: Not Defined

Naturally, using this in your own user-data or Custom Data field will probably make more sense than just writing it to “output” 😁

Featured image is “Stockholms Stadsbibliotek” by “dilettantiquity” on Flickr and is released under a CC-BY-SA license.

"Sydney Observatory I" by "Newtown grafitti" on Flickr

Using Feature Flags in Terraform with Count Statements

In a project I’m working on in Terraform, I’ve got several feature flags in a module. These flags relate to whether this module should turn on a system in a cloud provider, or not, and looks like this:

variable "turn_on_feature_x" {
  description = "Setting this to 'yes' will enable Feature X. Any other value will disable it. (Default 'yes')"
  value = "yes"
}

variable "turn_on_feature_y" {
  description = "Setting this to 'yes' will enable Feature Y. Any other value will disable it. (Default 'no')"
  value = "no"
}

When I call the module, I then can either leave the feature with the default values, or selectively enable or disable them, like this:

module "region1" {
  source = "./my_module"
}

module "region2" {
  source = "./my_module"
  turn_on_feature_x = "no"
  turn_on_feature_y = "yes"
}

module "region3" {
  source = "./my_module"
  turn_on_feature_y = "yes"
}

module "region4" {
  source = "./my_module"
  turn_on_feature_x = "no"
}

# Result:
# region1 has X=yes, Y=no
# region2 has X=no, Y=yes
# region3 has X=yes, Y=yes
# region4 has X=no, Y=no

When I then want to use the feature, I have to remember a couple of key parts.

  1. Normally this feature check is done with a “count” statement, and the easiest way to use this is to use the ternary operator to check values and return a “1” or a “0” for if you want the value used.

    Ternary operators look like this: var.turn_on_feature_x == "yes" ? 1 : 0 which basically means, if the value of the variable turn_on_feature_x is set to “yes”, then return 1 otherwise return 0.

    This can get a bit complex, particularly if you want to check several flags a few times, like this: var.turn_on_feature_x == "yes" ? var.turn_on_feature_y == "yes" ? 1 : 0 : 0. I’ve found that wrapping them in brackets helps to understand what you’re getting, like this:

    (
      var.turn_on_feature_x == "yes" ?
      (
        var.turn_on_feature_y == "yes" ?
        1 :
        0
      ) :
      0
    )
  2. If you end up using a count statement, the resulting value must be treated as an 0-indexed array, like this: some_provider_service.my_name[0].result

    This is because, using the count value says “I want X number of resources”, so Terraform has to treat it as an array, in case you actually wanted 10 instead of 1 or 0.

Here’s an example of that in use:

resource "aws_guardduty_detector" "Region" {
  count = var.enable_guardduty == "yes" ? 1 : 0
  enable = true
}

resource "aws_cloudwatch_event_rule" "guardduty_finding" {
  count = (var.enable_guardduty == "yes" ? (var.send_guardduty_findings_to_sns == "yes" ? 1 : (var.send_guardduty_findings_to_sqs == "yes" ? 1 : 0)) : 0)
  name = "${data.aws_caller_identity.current.account_id}-${data.aws_region.current.name}-${var.sns_guardduty_finding_suffix}"
  event_pattern = <<PATTERN
{
  "source": [
    "aws.guardduty"
  ],
  "detail-type": [
    "GuardDuty Finding"
  ]
}
PATTERN
}

resource "aws_cloudwatch_event_target" "sns_guardduty_finding" {
  count = (var.enable_guardduty == "yes" ? (var.send_guardduty_findings_to_sns == "yes" ? 1 : 0) : 0)
  rule = aws_cloudwatch_event_rule.guardduty_finding[0].name
  target_id = aws_sns_topic.guardduty_finding[0].name
  arn = aws_sns_topic.guardduty_finding[0].arn
}

resource "aws_cloudwatch_event_target" "sqs_guardduty_finding" {
  count = (var.enable_guardduty == "yes" ? (var.send_guardduty_findings_to_sqs == "yes" ? 1 : 0) : 0)
  rule = aws_cloudwatch_event_rule.guardduty_finding[0].name
  target_id = "SQS"
  arn = aws_sqs_queue.guardduty_finding[0].arn
}

One thing that bit me rather painfully around this was that if you change from an uncounted resource, like this:

resource "some_tool" "this" {
  some_setting = 1
}

To a counted resource, like this:

resource "some_tool" "this" {
  count = var.some_tool == "yes" ? 1 : 0
  some_setting = 1
}

Then, Terraform will promptly destroy some_tool.this to replace it with some_tool.this[0], because they’re not the same referenced thing!

Fun, huh? 😊

Featured image is “Sydney Observatory I” by “Newtown grafitti” on Flickr and is released under a CC-BY license.