airship
/
maas
Code Issues Proposed changes
Kubernetes deployment artifacts for Canonical's MaaS.
208 Commits 1 Branch 0 Tags 3.4 MiB
Smarty 54.3%
Dockerfile 28.9%
Makefile 5.7%
Shell 5.6%
Python 5.5%
Go to file
Phil Sphicas 50b3d68905 Control bind9 and nginx resource usage 
The named and nginx processes both try to use all available CPUs. In
addition, there is a bug in named that sometimes causes it to spin on a
FUTEX, pegging the CPU.

This change constrains those processes to a single CPU (overridable in
values.yaml), and includes /etc/bind/bind.keys in named.conf to avoid
the CPU spike.

Change-Id: I4a278023f5c0dd5e7bdee46891591b278f2ddcad
 		2021-11-10 23:35:50 -08:00
.github Update Airship vulnerability link 2020-05-18 21:26:25 +00:00
charts/maas Control bind9 and nginx resource usage 2021-11-10 23:35:50 -08:00
images Control bind9 and nginx resource usage 2021-11-10 23:35:50 -08:00
tools Update chart to use stable Kubernetes APIs 2021-10-18 11:52:30 -07:00
.gitignore Add .gitignore to repo 2018-08-22 21:24:27 -05:00
.gitreview OpenDev Migration Patch 2019-04-19 19:52:21 +00:00
.zuul.yaml Deploy MAAS 2.8 on Ubuntu bionic 2021-08-03 21:56:23 +00:00
LICENSE Initial commit 2017-10-19 11:42:23 -05:00
Makefile Cleanup Makefile, allow cache use, and allow extra args 2021-08-24 17:19:57 +00:00
README.md Deploy MAAS 2.8 on Ubuntu bionic 2021-08-03 21:56:23 +00:00

README.md

MaaS Helm Artifacts

This repository holds artifacts supporting the deployment of Canonical MaaS in a Kubernetes cluster.

Images

The MaaS install is made up of two required imags and one optional image. The Dockerfiles in this repo can be used to build all three. These images are intended to be deployed via a Kubernetes Helm chart.

MaaS Region Controller

The regiond Dockerfile builds a systemD-based Docker image to run the MaaS Region API server and metadata server.

MaaS Rack Controller

The rackd Dockerfile builds a systemD-based Docker image to run the MaaS Rack controller and dependent services (DHCPd, TFTPd, etc...). This image needs to be run in privileged host networking mode to function.

MaaS Image Cache

The cache image Dockerfile simply provides a point-in-time mirror of the maas.io image repository so that if you are deploying MaaS somewhere without network connectivity, you have a local copy of Ubuntu. Currently this only mirrors Ubuntu 18.04 Bionic and does not update the mirror after image creation.

Charts

Also provided is a Kubernetes Helm chart to deploy the MaaS pieces and integrates them. This chart depends on a previous deployment of Postgres. The recommended avenue for this is the Openstack Helm Postgres chart but any Postgres instance should work.

Overrides

Chart overrides are likely required to deploy MaaS into your environment

  • values.labels.rack.node_selector_key - This is the Kubernetes label key for selecting nodes to deploy the rack controller
  • values.labels.rack.node_selector_value - This is the Kubernetges label value for selecting nodes to deploy the rack controller
  • values.labels.region.node_selector_key - this is the Kubernetes label key for selecting nodes to deploy the region controller
  • values.labels.region.node_selector_value - This is the Kubernetes label value for selecting nodes to deploy the region controller
  • values.conf.cache.enabled - Boolean on whether to use the repo cache image in the deployment
  • values.conf.maas.url.maas_url - The URL rack controllers and nodes should use for accessing the region API (e.g. http://10.10.10.10:8080/MAAS)

Deployment Flow

During deployment, the chart executes the below steps:

  1. Initializes the Postgres DB for MaaS
  2. Starts a Pod with the region controller and optionally the image cache sidecar container
  3. Once the region controller is running, deploy a Pod with the rack controller and join it to the region controller.
  4. Initialize the configuration of MaaS and start the image sync
  5. Export an API key into a Kubernetes secret so other Pods can access the API if needed