Enable Mitaka specs
Without fake.rst file the build_sphinx fails with: "WARNING: toctree glob pattern u'specs/mitaka/*' didn't match any documents" error, it will be removed with the merge of first M* cycle spec. Change-Id: I2f2f587128a0d8ed670dd7288f748661fda70d80
This commit is contained in:
Igor Degtiarov
parent
3a91dd6c91
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bf84c8cd24
@ -28,6 +28,14 @@ Liberty approved specs:
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specs/liberty/*
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Mitaka approved specs:
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.. toctree::
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:glob:
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:maxdepth: 1
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specs/mitaka/*
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==================
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Indices and tables
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368
specs/mitaka/fake.rst
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368
specs/mitaka/fake.rst
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..
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This work is licensed under a Creative Commons Attribution 3.0 Unported
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License.
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http://creativecommons.org/licenses/by/3.0/legalcode
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==========================================
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Example Spec - The title of your blueprint
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==========================================
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Include the URL of your launchpad blueprint:
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https://blueprints.launchpad.net/ceilometer/+spec/example
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https://blueprints.launchpad.net/python-ceilometerclient/+spec/example
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Introduction paragraph -- why are we doing anything? A single paragraph of
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free-form text that other developers and operators can understand.
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Some notes about using this template:
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* Your spec should be in ReSTructured text, like this template.
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* Please wrap text at 79 columns.
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* The filename in the git repository should match the launchpad URL, for
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example a URL of:
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https://blueprints.launchpad.net/ceilometer/+spec/awesome-thing
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should be named awesome-thing.rst
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* Please do not delete any of the sections in this template. If you have
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nothing to say for a whole section, just write: None
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* For help with syntax, see http://sphinx-doc.org/rest.html
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* To test out your formatting, build the docs using tox, or see:
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http://rst.ninjs.org
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* If you would like to provide a diagram with your spec, ascii diagrams are
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required. http://asciiflow.com/ is a very nice tool to assist with making
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ascii diagrams. The reason for this is that the tool used to review specs is
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based purely on plain text. Plain text will allow review to proceed without
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having to look at additional files which can not be viewed in Gerrit. It
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will also allow inline feedback on the diagram itself.
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* If your specification proposes any changes to the Ceilometer REST API such
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as changing parameters which can be returned or accepted, or even
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the semantics of what happens when a client calls into the API, then
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you should add the APIImpact flag to the commit message. Specifications with
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the APIImpact flag can be found with the following query::
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https://review.openstack.org/#/q/status:open+project:openstack/ceilometer-specs+message:apiimpact,n,z
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Problem description
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===================
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A detailed description of the problem:
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* For a new feature this might be use cases. Ensure you are clear about the
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actors in each use case: End User vs Cloud Operator
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* For a major reworking of something existing it would describe the
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problems in that feature that are being addressed. In this case, any
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potential migration issues must be called out upfront.
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* For a major functional area not currently addressed within the
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OpenStack Telemetry program, ensure you describe why you think
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this is appropriate given our project mandate and mission statement.
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Proposed change
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===============
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Here is where you cover the change you propose to make in detail. How do you
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propose to solve this problem?
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If this is one part of a larger effort make it clear where this piece ends. In
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other words, what's the scope of this effort? If this larger effort may span
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several release cycles, state this explicitly.
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Alternatives
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------------
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What other ways could we do this thing? Why aren't we using those? This doesn't
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have to be a full literature review, but it should demonstrate that thought has
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been put into why the proposed solution is an appropriate one. Especially if
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there's a history in the community of divided opinion on this issue.
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Data model impact
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-----------------
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Changes which require modifications to the data model often have a wider impact
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on the system and its performance, or lack thereof. The community often has
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strong opinions on how the data model should be evolved, from both a functional
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and performance perspective. It is therefore important to capture and gain
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agreement as early as possible on any proposed changes to the data model.
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Questions which need to be addressed by this section include:
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* What new data objects and/or database schema changes is this going to
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require?
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* What database migrations will accompany this change, treating the SQLAlchemy
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and NoSQL cases separately.
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* Will this add to the on-the-fly data massaging cruft that we've accreted
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over time?
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* How will the initial set of new data objects be generated, for example if you
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need to take into account existing instances, or modify other existing data
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describe how that will work.
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REST API impact
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---------------
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Each API method which is either added or changed should have the following
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* Specification for the method
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* A description of what the method does suitable for use in
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user documentation
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* Method type (POST/PUT/GET/DELETE)
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* Normal http response code(s)
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* Expected error http response code(s)
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* A description for each possible error code should be included
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describing semantic errors which can cause it such as inconsistent
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parameters supplied to the method, or when an instance is not in an
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appropriate state for the request to succeed. Errors caused by
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syntactic problems covered by the JSON schema definition do not need
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to be included.
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* URL for the resource
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* Parameters which can be passed via the url
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* example JSON fragments for the body data if appropriate
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* example JSON fragments for the response data if any
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* Example use case including typical API samples for both data supplied
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by the caller and the response.
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* Discuss any policy changes, and discuss what things a deployer needs to
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think about when defining their policy.
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* Discuss whether this change should be backported to any currently supported
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API versions (e.g. to v2 when this is put on the deprecation path in favor
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of a new v3 API)
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Security impact
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---------------
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Describe any potential security impact on the system. The principal issue
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to consider is:
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* Does this change impact on the direct or indirect visibility of data
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in the metering store in a way that doesn't respect full segregation
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between non-admin tenants.
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An example of such a concern would the on_behalf_of mechanism in the
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alarm evaluation logic.
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For more detailed guidance, please see the OpenStack Security Guidelines as
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a reference (https://wiki.openstack.org/wiki/Security/Guidelines). These
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guidelines are a work in progress and are designed to help you identify
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security best practices. For further information, feel free to reach out
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to the OpenStack Security Group at openstack-security@lists.openstack.org.
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Pipeline impact
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---------------
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Please specify any changes to the metering pipeline, from the data acquisition
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agents, via the publication conduit(s), through to the database dispatch layer.
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For example:
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* Is yet another agent required to host the data acquisition pollsters or
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notification handlers?
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* If accommodated in an existing agent, is the scaling of that agent impacted?
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* Is explicit configuration of the source and/or transformations required
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in the pipeline.yaml?
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* Is the typical cadence of data acquisition likely in practice to be unusually
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frequent or infrequent?
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* Is an explicit resource discovery extension required to retrieve target
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resources?
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* Is AMQP the appropriate publication conduit for these data?
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* Is any change required to the metering message signature verification
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used by the collector?
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Other end user impact
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---------------------
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Aside from the API, are there other ways a user will interact with this
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feature?
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* If a service-side feature, does this change also have an impact on
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python-ceilometerclient? What does the user interface there look like?
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* Should this feature be exposed via the Horizon metering dashboard?
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Performance/Scalability Impacts
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-------------------------------
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Describe any potential performance or scaling impact on the system, considering
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for example:
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* The volume of new metering data generated, and the knock-on impact
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of this on the latency of the publication conduit and database dispatch
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layer.
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* Whether any new data retention policies are required.
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* How any new APIs and/or storage driver methods will perform when scaled
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over very large datasets.
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* Whether any explicit performance testing would be advisable to validate
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the new feature, either at the PoC stage, and/or in its final form.
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Other deployer impact
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---------------------
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Discuss things that will affect how you deploy and configure OpenStack that
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have not already been mentioned, such as:
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* What config options are being added?
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* How is the storage driver feature parity matrix impacted? Traditionally
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new features were often only supported initially in the MongoDB and
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SQLAlchemy drivers, leaving the more niche drivers to catch up later.
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Though this is established custom and practice, you must explicitly
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state which drivers you intend to address in the first cut.
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* Is this a change that takes immediate effect after its merged, or is it
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something that has to be explicitly enabled?
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* If this change is a new binary, how would it be deployed? Will the puppet
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or chef recipes in wide use require extension to accommodate this feature.
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* Please state anything that those doing continuous deployment, or those
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upgrading from the previous release, need to be aware of. Also describe
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any plans to deprecate configuration values or features. For example, if we
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change the pipeline.yaml format, how do we handle pipelines created before
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the change landed? Do we transform them? Do we continue to support the
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old format in a deprecated form?
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* Please state anything that those doing downstream distro-oriented
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packaging need to be aware of. For example, is a new service being added,
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or many new transitive dependencies pulled in, or a new feature that is
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effectively optional and hence suited to separate packaging.
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Developer impact
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----------------
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Discuss things that will affect other developers working on OpenStack,
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such as:
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* If the blueprint proposes a change to the internal storage driver or
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hypervisor inspector APIs, discussion of how existing implementations
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of these APIs would implement the feature is required.
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Implementation
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==============
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Assignee(s)
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-----------
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Who is leading the writing of the code? Or is this a blueprint where you're
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throwing it out there to see who picks it up?
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If more than one person is working on the implementation, please designate the
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primary author and contact.
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Primary assignee:
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<launchpad-id or None>
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Other contributors:
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<launchpad-id or None>
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Ongoing maintainer:
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<launchpad-id or None>
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Work Items
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----------
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Work items or tasks -- break the feature up into the things that need to be
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done to implement it. Those parts might end up being done by different people,
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but we're mostly trying to understand the timeline for implementation.
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Future lifecycle
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================
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The Telemetry program is explicitly not interested in "code drops", where
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some new niche feature is landed, but then ongoing active maintainership
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is not provided by either the original author and/or an obviously sustainable
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user community. You must address how you envisage the ongoing maintenance
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of the feature being handled through the next two release cycles.
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Dependencies
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============
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* Include specific references to specs and/or blueprints under the Telemetry
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program, or in other programs, that the current blueprint one either depends
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on or is related to.
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* If this requires functionality of another program that is not currently
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used by Telemetry (such as a new or extended library provided by the Oslo
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program), document that fact.
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* Does this feature require any new external dependencies or code otherwise not
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included in OpenStack? Or does it depend on a specific version of library? Is
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this library already packaged for the major distros (i.e. derivatives of
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Debian and Fedora).
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Testing
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=======
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Please discuss how the change will be tested. We especially want to know what
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Tempest tests will be added. It is assumed that unit and scenario test coverage
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will be added so that doesn't need to be mentioned explicitly, but discussion
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of why you think unit/scenario tests are sufficient and we don't need to add
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more tempest testcases would need to be included.
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Is this untestable in the upstream gate given current limitations (specific
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hardware / software configurations available)? If so, are there mitigation
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plans (3rd party testing, gate enhancements, etc.).
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Documentation Impact
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====================
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What is the impact on the docs team of this change? Some changes might require
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donating resources to the docs team to have the documentation updated. Don't
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repeat details discussed above, but please reference them here.
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References
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==========
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Please add any useful references here. You are not required to have any
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reference. Moreover, this specification should still make sense when your
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references are unavailable. Examples of what you could include are:
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* Links to mailing list or IRC discussions
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* Links to notes from a summit session
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* Links to relevant research, appropriately distilled or summarized
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* Related specifications as appropriate (e.g. if it's calling out to a REST
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API exposed by another OpenStack service, link to that API definition)
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* Anything else you feel it is worthwhile to refer to
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1
specs/mitaka/template.rst
Symbolic link
1
specs/mitaka/template.rst
Symbolic link
@ -0,0 +1 @@
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../template.rst
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