The blockdiag/seqdiag set of tools and their sphinx extensions are no longer maintained. This hasn't been a huge issue until we started running jobs on Python3.12 as we need to run an older version of Pillow to support these tools and that needs special libs to build wheels on python3.12. Rather than continue to try and make old unmaintained tools work we switch to graphviz which is maintained and has support built into sphinx. This does require us to install graphviz as a system dep but that seems like a reasonable tradeoff for using supported tooling. The resulting graph specifications are also slightly more verbose. Co-Authored-By: James E. Blair <jim@acmegating.com> Change-Id: I2d1e4c3d648723402aae2d87fb3233f4418d5003
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Container Images
This repo has several jobs which can form the basis of a system supporting a full gating process for continuously deployed container images. They can be used to build or test images which rely on other images using the full power of Zuul's speculative execution.
In order to use these jobs to their full potential, the Zuul site administrator will need to run a simple but dedicated container image registry, and define local versions of the jobs to use it. The following sections describe how to define those jobs and how the system is intended to work once the jobs are defined.
Run an Intermediate Container Registry
A dedicated container registry is required for the use of these jobs. It is merely used to temporarily hold images so that they can be transferred between jobs running in different projects at different times. It does not need to be publicly accessible or particularly robust. If its backing storage fails and needs to be replaced, the only result is that some jobs running in Zuul may fail and may need to be re-run. In this system, it is called the "intermediate registry" to distinguish it from other registry services.
You may run the registry in whatever manner is appropriate for your site. The following docker-compose file may be used as an example of a working deployment suitable for production:
services:
registry:
restart: always
image: registry:2
network_mode: host
environment:
REGISTRY_HTTP_TLS_CERTIFICATE: /certs/domain.crt
REGISTRY_HTTP_TLS_KEY: /certs/domain.key
REGISTRY_AUTH: htpasswd
REGISTRY_AUTH_HTPASSWD_PATH: /auth/htpasswd
REGISTRY_AUTH_HTPASSWD_REALM: Registry Realm
volumes:
- /var/registry/data:/var/lib/registry
- /var/registry/certs:/certs
- /var/registry/auth:/auth
You will need to provide the SSL certificate and key values, as well as the htpassword file with a user and password already present.
Once that service is running, create the following four jobs in a Zuul config-project:
Create Parent Jobs
yoursite-buildset-registry
This job is used to provide a temporary "buildset registry" to jobs running in your system; it communicates with the "intermediate" registry described above.
- secret:
name: yoursite-intermediate-registry
data:
host: insecure-ci-registry.example.org
port: 5000
username: zuul
password: !encrypted/pkcs1-oaep
- ...
- job:
name: yoursite-buildset-registry
pre-run: playbooks/buildset-registry/pre.yaml
run: playbooks/buildset-registry/run.yaml
post-run: playbooks/buildset-registry/post.yaml
secrets:
- secret: yoursite-intermediate-registry
name: intermediate_registry
requires: docker-image
The credentials in the secret should match those you supplied when creating the intermediate registry.
The requires: docker-image
attribute means that whenever
this job (or any jobs which inherit from it) run, Zuul will search ahead
of the change in the dependency graph to find any jobs which produce
docker-images and tell this job about them. This allows the job to pull
images from the intermediate registry into the buildset registry.
- hosts: all
tasks:
- name: Install docker
include_role:
name: ensure-docker
- name: Run buildset registry (if not already running)
when: buildset_registry is not defined
include_role:
name: run-buildset-registry
- name: Use buildset registry
include_role:
name: use-buildset-registry
- hosts: localhost
roles:
- pull-from-intermediate-registry
This playbook runs a buildset registry if one isn't already running.
It returns the connection information back to Zuul in a variable called
buildset_registry
. Other jobs will use that to learn how to
connect to the registry, and we can use that here to find out if one was
already started in a previous job. We will use that facility in the
yoursite-build-docker-image
job below.
- hosts: localhost
tasks:
- name: Pause the job
zuul_return:
data:
zuul:
pause: true
The pause
causes the job to wait until all jobs which
depend on this one are completed.
- hosts: localhost
roles:
- push-to-intermediate-registry
yoursite-build-docker-image
This job builds one or more docker images and interacts with the buildset and intermediate registries.
- job:
name: yoursite-build-docker-image
parent: yoursite-buildset-registry
run: playbooks/docker-image/run.yaml
provides: docker-image
Note that the parent of this job is yoursite-buildset-registry
. This means that a simple
repo that only needs to support one image building job and doesn't have
any other jobs which require a buildset registry can just add this job
alone and it will run a buildset registry on the build host. More
complex scenarios would run the yoursite-buildset-registry
job on its own and
construct a job graph that depends on it. Because the pre-run playbook
in the buildset-registry job only runs a buildset registry if one isn't
already running, it can be used for both cases. And because the run
playbook which pauses the job is overridden in this job, this job will
not pause.
- hosts: all
roles:
- build-docker-image
yoursite-upload-docker-image
This job further builds on the yoursite-build-docker-image
job and additionally
uploads the image to Docker Hub. Depending on the situation, you could
encode the Docker Hub credentials into this job as a secret, or you
could allow other users to provide them via the pass-to-parent
feature of secrets.
- job:
name: yoursite-upload-docker-image
parent: yoursite-build-docker-image
post-run: playbooks/docker-image/upload.yaml
- hosts: all
roles:
- upload-docker-image
yoursite-promote-docker-image
This job does nothing that the :zuulpromote-docker-image
job in this repo doesn't already
do, but since you created local versions of the other two jobs, you
should make one of this as well for consistency. If you chose to add
Docker Hub credentials to the yoursite-upload-docker-image
job, you should do that
here as well.
- job:
name: yoursite-promote-docker-image
parent: promote-docker-image
System Architecture
Now that those jobs are defined, this section describes how they work together.
There are a few key concepts to keep in mind:
A buildset is a group of jobs all running on the same change.
A buildset registry is a container image registry which is used to store speculatively built images for the use of jobs in a single buildset. It holds the differences between the current state of the world and the future state if the change in question (and all of its dependent changes) were to merge. It must be started by one of the jobs in a buildset, and it ceases to exist once that job is complete.
An intermediate registry is a long-running registry that is used to store images created for unmerged changes for use by other unmerged changes. It is not publicly accessible and is intended only to be used by Zuul in order to transfer artifacts from one buildset to another.
With these concepts in mind, the jobs described above implement the following workflow for a single change:
- digraph image_transfer {
-
splines=false nodesep=1
// Set things up like a spreadsheet grid as I found that simplifies // remembering which nodes have edges between them. ir_start [label="IntermediatenRegistry" shape="box"] ir_end [style=invis] ir_0 [label="" shape=point height=.005] ir_1 [label="" shape=point height=.005] ir_2 [label="" shape=point height=.005] ir_3 [label="" shape=point height=.005] ir_4 [label="" shape=point height=.005] ir_5 [label="" shape=point height=.005] ir_start -> ir_0 -> ir_1 -> ir_2 -> ir_3 -> ir_4 -> ir_5 -> ir_end [arrowhead="none" style="bold"]
br_start [label="BuildsetnRegistry" shape="box"] br_end [style=invis] br_0 [label="" shape=point height=.005] br_1 [label="" shape=point height=.005] br_2 [label="" shape=point height=.005] br_3 [label="" shape=point height=.005] br_4 [label="" shape=point height=.005] br_5 [label="" shape=point height=.005] br_start -> br_0 -> br_1 -> br_2 -> br_3 -> br_4 -> br_5 [arrowhead="none" style="bold"] br_5 -> br_end [arrowhead="none" style="dashed"]
ij_start [label="ImagenBuild Job" shape="box"] ij_end [style=invis] ij_0 [label="" shape=point height=.005] ij_1 [label="" shape=point height=.005] ij_2 [label="" shape=point height=.005] ij_3 [label="" shape=point height=.005] ij_4 [label="" shape=point height=.005] ij_5 [label="" shape=point height=.005] ij_start -> ij_0 -> ij_1 [arrowhead="none" style="dashed"] ij_1 -> ij_2 [arrowhead="none" style="bold"] ij_2 -> ij_3 -> ij_4 -> ij_5 -> ij_end [arrowhead="none" style="dashed"]
tj_start [label="DeploymentnTest Job" shape="box"] tj_end [style=invis] tj_0 [label="" shape=point height=.005] tj_1 [label="" shape=point height=.005] tj_2 [label="" shape=point height=.005] tj_3 [label="" shape=point height=.005] tj_4 [label="" shape=point height=.005] tj_5 [label="" shape=point height=.005] tj_start -> tj_0 -> tj_1 -> tj_2 -> tj_3 -> tj_4 [arrowhead="none" style="dashed"] tj_4 -> tj_5 [arrowhead="none" style="bold"] tj_5 -> tj_end [arrowhead="none" style="dashed"]
{rank=same;ir_start;br_start;ij_start;tj_start} {rank=same;ir_0;br_0;ij_0;tj_0} {rank=same;ir_1;br_1;ij_1;tj_1} {rank=same;ir_2;br_2;ij_2;tj_2} {rank=same;ir_3;br_3;ij_3;tj_3} {rank=same;ir_4;br_4;ij_4;tj_4} {rank=same;ir_5;br_5;ij_5;tj_5} {rank=same;ir_end;br_end;ij_end;tj_end}
// Flows between first and second column ir_0 -> br_0 [weight=0 label="Images from previous changes"] br_3 -> ir_3 [weight=0 label="Current image"] ir_end -> br_end [weight=0 style=invis]
// Flows between second and third column br_1 -> ij_1 [weight=0 label="Images from previous changes"] ij_2 -> br_2 [weight=0 label="Current image"] br_end -> ij_end [weight=0 style=invis]
// Flows between second and fourth column br_4 -> tj_4 [weight=0 xlabel="Current and previous images" ]
}
The intermediate registry is always running and the buildset registry is started by a job running on a change. The "Image Build" and "Deployment Test" jobs are example jobs which might be running on a change. Essentially, these are image producer or consumer jobs respectively.
Using the Jobs
There are two ways to use the jobs described above:
A Repository with Producers and Consumers
The first is in a repository where images are both produced and consumed. In this case, we can expect that there will be at least one image build job, and at least one job which uses that image (for example, by performing a test deployment of the image). In this case we need to construct a job graph with dependencies as follows:
- digraph dependencies {
-
rankdir="LR"; node [shape=box]; "yoursite-nbuildset-registry" -> "build-image" [dir=back]; "build-image" -> "test-image" [dir=back];
}
The yoursite-buildset-registry
job will run first and
automatically start a buildset registry populated with images built from
any changes which appear ahead of the current change. It will then
return its connection information to Zuul and pause and continue running
until the completion of the build and test jobs.
The build-image job should inherit from yoursite-build-docker-image
,
which will ensure that it is automatically configured to use the
buildset registry.
The test-image job is something that you will create yourself. There is no standard way to test or deploy an image, that depends on your application. However, there is one thing you will need to do in your job to take advantage of the buildset registry. In a pre-run playbook, use the use-buildset-registry role:
- hosts: all
roles:
- use-buildset-registry
That will configure the docker daemon on the host to use the buildset registry so that it will use the newly built version of any required images.
A Repository with Only Producers
The second way to use these jobs is in a repository where an image is
merely built, but not deployed. In this case, there are no consumers of
the buildset registry other than the image build job, and so the
registry can be run on the job itself. In this case, you may omit the
yoursite-buildset-registry
job and run only the yoursite-build-docker-image
job.
Publishing an Image
So far we've covered the image building process. This system also provides two more jobs that are used in publishing images to Docker Hub.
The yoursite-upload-docker-image
job does everything the
yoursite-build-docker-image
job does, but it also
uploads the built image to Docker Hub using an automatically-generated
and temporary tag. The "build" job is designed to be used in the
check pipeline, while the "upload" job is designed to take its
place in the gate pipeline. By front-loading the upload to
Docker Hub, we reduce the chance that a credential or network error will
prevent us from publishing an image after a change lands.
The yoursite-promote-docker-image
job is designed to be
used in the promote pipeline and simply re-tags the image on
Docker Hub after the change lands.
Keeping in mind that everything described above in buildset_image_transfer
applies to the yoursite-upload-docker-image
job, the following
illustrates the additional tasks performed by the "upload" and "promote"
jobs:
- digraph image_transfer {
-
splines=false nodesep=1
// Set things up like a spreadsheet grid as I found that simplifies // remembering which nodes have edges between them. dh_start [label="Docker Hub" shape="box"] dh_end [style=invis] dh_0 [label="" shape=point height=.005] dh_1 [label="" shape=point height=.005] dh_2 [label="" shape=point height=.005] dh_start -> dh_0 -> dh_1 -> dh_2 -> dh_end [arrowhead="none" style="bold"]
ui_start [label="upload-image" shape="box"] ui_end [style=invis] ui_0 [label="" shape=point height=.005] ui_1 [label="" shape=point height=.005] ui_2 [label="" shape=point height=.005] ui_start -> ui_0 [arrowhead="none" style="bold"] ui_0 -> ui_1 -> ui_2 -> ui_end [arrowhead="none" style="dashed"]
pi_start [label="promote-image" shape="box"] pi_end [style=invis] pi_0 [label="" shape=point height=.005] pi_1 [label="" shape=point height=.005] pi_2 [label="" shape=point height=.005] pi_start -> pi_0 -> pi_1 [arrowhead="none" style="dashed"] pi_1 -> pi_2 [arrowhead="none" style="bold" xlabel="Only the manifestnis transferred,nnot the actualnimage layers"] pi_2 -> pi_end [arrowhead="none" style="dashed"]
{rank=same;dh_start;ui_start;pi_start} {rank=same;dh_0;ui_0;pi_0} {rank=same;dh_1;ui_1;pi_1} {rank=same;dh_2;ui_2;pi_2} {rank=same;dh_end;ui_end;pi_end}
// Flows between first and second column ui_0 -> dh_0 [weight=0 label="Current Image with Temporary Tag"] dh_end -> ui_end [weight=0 style=invis]
// Flows between first and third column dh_1 -> ui_1 [weight=0 arrowhead="none"] ui_1 -> pi_1 [weight=0 label="Current Image Manifestnwith Temporary Tag"] pi_2 -> ui_2 [weight=0 label="Current Image Manifestnwith Final Tag" arrowhead="none"] ui_2 -> dh_2 [weight=0] dh_end -> pi_end [weight=0 style=invis]
}