Skip to content

updates for R22.06 release #113

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
ndavey wants to merge 1 commit into
base: master
Choose a base branch
from
Open

updates for R22.06 release #113

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions release/index.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@ Releases
:maxdepth: 2
:titlesonly:

releases/R22.06/index.rst
releases/R21.12/index.rst
releases/R21.05/index.rst
releases/r5.1/index.rst
Expand Down
81 changes: 81 additions & 0 deletions release/releases/R22.06/index.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,81 @@

=====================================
Release Notes: Tungsten Fabric R22.06
=====================================


Release Tag: 22.06-RC

Available at hub.docker.com.


Supported Platforms and Versions
--------------------------------


.. _Table 1:

*Table 1* : Supported Release Versions

+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Orchestrator Release | Deployment Tool | Operating System, Kernel and Key Components Version |
+===========================================+=====================+====================================================================+
| Kubernetes 1.22.4 | Juju Charms | Ubuntu 20.04.3—Linux Kernel Version 5.4.0-120-generic |
| | | MaaS Version: 2.6.2 |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Kubernetes 1.22.4 | Ansible | CentOS 7.9—Linux Kernel Version 3.10.0-1160.25.1.el7.x86_64 |
| | | Ansible version : 2.7.11 |
| | | Docker version: 18.03.1-ce |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| OpenShift 4.8.x | Operator Framework | RHEL CoreOS 4.8.x |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Openstack Train | Ansible | CentOS 7.9—Linux Kernel Version 3.10.0-1160.25.1.el7.x86_64 |
| | | Ansible version: 2.7.11 |
| | | Docker version: 18.03.1-ce |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Openstack Queens | Ansible | CentOS 7.9—Linux Kernel Version 3.10.0-1160.25.1.el7.x86_64 |
| | | Ansible version: 2.7.11 |
| | | Docker version: 18.03.1-ce |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Openstack Rocky | Ansible | CentOS 7.9—Linux Kernel Version 3.10.0-1160.25.1.el7.x86_64 |
| | | Ansible version: 2.7.11 |
| | | Docker version: 18.03.1-ce |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Openstack Queens | Ansible | CentOS 7.9—Linux Kernel Version 3.10.0-1160.25.1.el7.x86_64 |
| | | Ansible version: 2.7.11 |
| | | Docker version: 18.03.1-ce |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Canonical OpenStack Train | Juju Charms | Ubuntu 18.04.5—Linux Kernel Version 4.15.0-166-generic |
| | | MaaS Version: 2.6.2 |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Canonical OpenStack Ussuri | Juju Charms | Ubuntu 20.04.3—Linux Kernel Version 5.4.0-120-generic |
| | | MaaS Version: 2.4.2 |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+
| Red Hat OpenStack Platform 16.2 | RHOSP 16 Director | RHEL 8.4—Linux Kernel Version 4.18.0-305.12.1.el8_4.x86_64 |
| | | Director Image: rhosp-director-images-16.2-20210902.2.el8ost.noarch|
| | | Red Hat Content Sync Date : October 06, 2021, 05:21 PM PST |
| | | |
+-------------------------------------------+---------------------+--------------------------------------------------------------------+


Support for Automatically Deploying Remote Compute Using RHOSP/TripleO
----------------------------------------------------------------------
Starting in Tungsen Fabric 22.06, you can deploy remote compute automatically using RHOSP/TripleO for edge compute use cases.

For more information see: `Remote Compute`_


Centos 8 Support for Tungsten Fabric Container Images
---------------------------------------------------
Starting in Tungsten Fabric Release 22.06, the Centos 8 Base Image version 8 is used as the base for Tungsten Fabric container images.

Graceful Restart or Long-Lived Graceful Restart Support for a EVPN Type 2 Route
--------------------------------------------------------------------------------
Starting in Tungsten Fabric Release 22.06, the graceful restart or long-lived graceful restart features supports EVPN Type 2 prefixes, reducing overall network impact to controller restarts.

For more information see: `Long-lived Graceful Restart`_

.. _Remote Compute: ../../../tungsten-fabric-service-provider-focused-features-guide/remote-compute-50.html
.. _Long-lived Graceful Restart: ../../../tungsten-fabric-installation-and-upgrade-guide/graceful-restart-bgp-persist-vnc.html
.. _OpenShift Operator Upgrade: ../../../tungsten-fabric-cloud-native-user-guide/tf-operator-upgrade-ocp4.html