Merge "Adding JiWei candidacy for Zun"

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Zuul 2018-07-31 23:44:49 +00:00 committed by Gerrit Code Review
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Hi all,
I'd like to nominated myself to be a candidate of Zun PTL through
the Stein cycle.
Over the past year the Zun project has achieved a lot of the important
features includes:
* Diskspace Management: Docker images and containers use the same space,
it's better to choose a compute node to load images by DiskFilter
and limit the diskspace of a container.
* Quota support: This function achieves quota management for openstack
Zun resource.
* Zun available zone: Availability zone is within the scope of region.
For example, the machines in a room are divided into a AZ in order to
improve the isolation of disaster. For avoiding all the containers
hang up together, we can choose the different AZs to create containers.
* zun rebuild: Provide reconstruction function, if the container A is
damaged, users can use this function to recreate a container B. The
container B and A use the same resources, such as network, CPU, etc.
Users can also replace image to achieve the purpose of upgrading
container.
My goals for the Stein cycle are to continue the progress made during
the Rocky cycle in the following areas:
* Support volume multi-attach: Make zun supports mount the same volume
to different containers
* Zun-monitor: Monitor the status of containers, the zun-compute services,
the memory/cpu/diskspace of the zun-compute, then report the
error/warning/notice to end-users.
* Heal and evacuate: A periodic task monitors the status of container.
If a error happends, the container should be healed or evacuated.
* Placement API: Nova team is working to split its scheduler out and Zun would
like to leverage this new service if appropriate.
* Kubernetes: Kubernetes is probably the most popluar containers orchestration
tool, but there are still some gaps that prevent Kubernetes to work well with
OpenStack. I think Zun might be able to help to reduce the gaps. We could
explore integration options for Kubernetes to make OpenStack more appealing
for cloud-native users.
Thank you for taking the time to consider me for Stein PTL.
Best regards,
Wei Ji