Arthur Luz de Avila 3b780510be Decrease terminationGracePeriodSeconds on glance-api
The glance-api pod has a terminationGracePeriodSeconds
of 600s(10min) and the others services has 30s. This high
terminationGracePeriodSeconds may cause timeout in some
cases and there is no reason for this high
terminationGracePeriodSeconds.
The terminationGracePeriodSeconds has been introduced on
https://review.opendev.org/c/openstack/openstack-helm/+/469974
but there is no explanation why it is too high.

Story: 2009959
Task: 44926

Signed-off-by: Arthur Luz de Avila <arthur.luzdeavila@windriver.com>
Change-Id: I9f9092e48c4f4ecf5a145dc42dbafe4f96cfa91c
2022-04-04 12:18:54 -03:00
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OpenStack-Helm

Mission

The goal of OpenStack-Helm is to provide a collection of Helm charts that simply, resiliently, and flexibly deploy OpenStack and related services on Kubernetes.

Communication

  • Join us on IRC: #openstack-helm on oftc
  • Community IRC Meetings: [Every Tuesday @ 3PM UTC], #openstack-meeting-alt on oftc
  • Meeting Agenda Items: Agenda
  • Join us on Slack
    • #openstack-helm

Storyboard

Bugs and enhancements are tracked via OpenStack-Helm's Storyboard.

Installation and Development

Please review our documentation. For quick installation, evaluation, and convenience, we have a kubeadm based all-in-one solution that runs in a Docker container. The Kubeadm-AIO set up can be found here.

This project is under active development. We encourage anyone interested in OpenStack-Helm to review our Installation documentation. Feel free to ask questions or check out our current Storyboard backlog.

To evaluate a multinode installation, follow the Bare Metal install guide.

Repository

Developers wishing to work on the OpenStack-Helm project should always base their work on the latest code, available from the OpenStack-Helm git repository.

OpenStack-Helm git repository

Contributing

We welcome contributions. Check out this document if you would like to get involved.

Description
Helm charts for deploying OpenStack on Kubernetes
Readme 126 MiB
Languages
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Python 1.3%
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