openstack
/
api-site
Code Issues Proposed changes

Optimizing the safety of the http link site. 

Change-Id: I7558c745e4f69a3c23d2975cd79f8673e84519af
This commit is contained in:
zhouxinyong 2018-11-13 22:10:17 +08:00
parent 1e626912e9
commit 1c3bd66aa0
3 changed files with 5 additions and 5 deletions
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2
firstapp/README.rst
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@ -6,7 +6,7 @@ This directory contains the "Writing Your First OpenStack Application"
tutorial.
The tutorials work with an application that can be found in the
`openstack/faafo <http://git.openstack.org/cgit/openstack/faafo>`_
`openstack/faafo <https://git.openstack.org/cgit/openstack/faafo>`_
repository.
Prerequisites

4
firstapp/source/getting_started.rst
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@ -355,7 +355,7 @@ to run code snippets in your language of choice.
:language: yaml
.. note:: If you do use a public cloud `known by shade
<http://git.openstack.org/cgit/openstack/os-client-config/tree/os_client_config/vendors>`_,
<https://git.openstack.org/cgit/openstack/os-client-config/tree/os_client_config/vendors>`_,
you can avoid specifying :code:`auth_url:` and instead specify
:code:`profile: $PROVIDER_NAME` in the clouds.yml file.
@ -366,7 +366,7 @@ to run code snippets in your language of choice.
.. literalinclude:: ../samples/shade/shade.yml
:language: yaml
See `configure shade <http://git.openstack.org/cgit/openstack/os-client-config/tree/README.rst>`_,
See `configure shade <https://git.openstack.org/cgit/openstack/os-client-config/tree/README.rst>`_,
to configure your cloud using a profile.
.. literalinclude:: ../samples/shade/getting_started.py

4
firstapp/source/orchestration.rst
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@ -194,8 +194,8 @@ instances to scale down, as demand decreases.
To learn about auto-scaling with the Orchestration API, read these articles:
* http://superuser.openstack.org/articles/simple-auto-scaling-environment-with-heat
* http://superuser.openstack.org/articles/understanding-openstack-heat-auto-scaling
* https://superuser.openstack.org/articles/simple-auto-scaling-environment-with-heat
* https://superuser.openstack.org/articles/understanding-openstack-heat-auto-scaling
Initially, the focus is on scaling the workers because they consume the most
resources.