e57f77613b
Upgrading htk to version 0.2.55, which deprecates the ingress class annotation (kubernetes.io/ingress.class) with .spec.ingressClassName https://review.opendev.org/c/openstack/openstack-helm-infra/+/891720 Change-Id: Ib4fb99c475ce8bb5d2225f9ba84086e919029785 Signed-off-by: Anselme, Schubert (sa246v) <sa246v@att.com> |
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| images/drydock | ||
| python | ||
| tools | ||
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| .zuul.yaml | ||
| LICENSE | ||
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| README.md | ||
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README.md
drydock_provisioner
A python REST orchestrator to translate a YAML host topology to a provisioned set of hosts and provide a set of post-provisioning instructions.
See full documentation at https://airship-drydock.readthedocs.io/.
Required
- Python 3.5+
- A running instance of Postgres v9.5+
- A running instance of Openstack Keystone w/ the v3 API enabled
- A running instance of Canonical MaaS v2.3+
Recommended
- A running Kubernetes cluster with Helm initialized
- Familiarity with the Airship platform suite of services
Building
This service is intended to be built as a Docker container, not as a standalone Python package. That being said, instructions are included below for building as a package and as an image.
Virtualenv
To build and install Drydock locally in a virtualenv first generate configuration and policy file templates to be customized
$ tox -e genconfig
$ tox -e genpolicy
$ virtualenv -p python3.5 /var/tmp/drydock
$ . /var/tmp/drydock/bin/activate
$ pip install -r requirements-frozen.txt
$ pip install .
$ cp -r etc/drydock /etc/drydock
Docker image
$ docker build . -t drydock
Running
The preferred deployment pattern of Drydock is via a Helm chart to deploy Drydock into a Kubernetes cluster. Additionally use of the rest of the Airship services provides additional functionality for deploying (Armada) and using (Promenade, Deckhand) Drydock.
You can see an example of a full Airship deployment in the Airship in a Bottle repository.
Stand up Kubernetes
Use the Airship Promenade tool for starting a self-hosted Kubernetes cluster with Kubernetes Helm deployed.
Deploy Drydock Dependencies
There are Helm charts for deploying all the dependencies of Dryodck. Use them for preparing your Kuberentes cluster to host Drydock.
Deploy Drydock
Ideally you will use the Airship Armada
tool for deploying the Drydock chart with proper overrides, but if not you can
use the helm CLI tool. The below are overrides needed during deployment
- values.labels.node_selector_key: This is the kubernetes label assigned to the node you expect to host Drydock
- values.conf.dryodck.maasdriver: This is URL Drydock will use to access the MAAS API (including the URL path)
- values.images.drydock: The Drydock docker image to use
- values.images.drydock_db_sync: The Drydock docker image to use