6.5 KiB
Template Registries
DM lets configurations instantiate templates using both imports and references.
Because template references can use any public HTTP endpoint, they provide a way to share templates. While you can store templates anywhere you want and organize them any way you want, you may not be able to share them effectively without some organizing principles. This document defines conventions for template registries that store templates in Github and organize them by name and by version to make sharing easier.
Template Versions
Since templates referenced by configurations and by other templates may change over time, we need a versioning scheme, so that template references can be reliably resolved to specific template versions.
Every template must therefore carry a version based on the
Semantic Versioning specification. A template version
consists of a MAJOR version, a MINOR version and a PATCH version, and can
be represented as a three part string starting with the letter v
and using
dot delimiters between the parts. For example v1.1.0
.
Parts may be omitted from left to right, up to but not include the MAJOR version. All omitted parts default to zero. So, for example:
v1.1
is equivalent tov1.1.0
, andv2
is equivalent tov2.0.0
As required by Semantic Versioning:
- The MAJOR version must be incremented for incompatible changes
- The MINOR version must be incremented functionality is added in a backwards-compatible manner, and
- The PATCH version must be incremented for backwards-compatible bug fixes.
When resolving a template reference, DM will attempt to fetch the template with the highest available PATCH version that has the same MAJOR and MINOR versions as the referenced version.
Template Validation
Every template version should include a configuration named example.yaml
that can be used to deploy an instance of the template. This file may be used,
along with any supporting files it requires, to validate the template.
Template Organization
Technically, all you need to reference a template is a directory at a public
HTTP endpoint that contains a template file named either <template-name>.py
or <template-name>.jinja
, depending on the implementation language, along
with any supporting files it might require, such as an optional schema file
named <template-name>.py.schema
or <template-name>.jinja.schema
, respectively,
helper files used by the implementation, files imported by the schema, and so on.
These constraints impose a basic level of organization on the template definition by ensuring that the template and all of its supporting files at least live in the same directory, and that the template and schema files follow well-defined naming conventions.
They do not, however, provide any encapsulation. Without additional constraints, there is nothing to prevent template publishers from putting multiple templates, or multiple versions of the same template, in the same directory. While there might be some benefits in allowing templates to share a directory, such as avoiding the duplication of helper files, the cost of discovering and maintaining templates would quickly outweigh them as the number of templates in the directory increased.
Every template version must therefore live in its own directory, and that directory must contain one and only one top-level template file and supporting files for one and only template version.
Since it may reduce management overhead to store many different templates, and/or many versions of the same template, in a single repository, we need a way to organize templates within a repository.
A template repository must therefore place all of the versions of a given template in directories named for the template versions under a directory named for the template.
For example:
templateA/
v1/
example.yaml
templateA.py
templateA.py.schema
v1.0.1/
example.yaml
templateA.py
templateA.py.schema
v1.1/
example.yaml
templateA.py
templateA.py.schema
helper.py
The template directories may be organized in any way that makes sense to the repository maintainers.
For example, this flat list of template directories is valid:
templates/
templateA/
v1/
...
templateB/
v2/
...
This example, where template directories are organized by category, is also valid:
templates/
big-data/
templateA/
v1/
...
templateB/
v2/
...
signals
templateC/
v1/
...
templateD/
v1.1/
...
Template Registries
Github is a convenient place to store and manage templates. A template registry is a Github repository that conforms to the requirements detailed in this document.
For a working example of a template registry, please see the Kubernetes Template Registry.
Accessing a template registry
The Deployment Manager client, dm
, can deploy templates directly from a registry
using the following command:
$ dm deploy <template-name>:<version>
To resolve the template reference, dm
looks for a template version directory
with the given version in the template directory with the given template name.
By default, it uses the Kubernetes Template Registry. However, you can set a
different default using the --registry
flag:
$ dm --registry my-org/my-repo/my-root-directory deploy <template-name>:<version>
Alternatively, you can qualify the template name with the path to the template directory within the registry, like this:
$ dm deploy my-org/my-repo/my-root-directory/<template-name>:<version>
Specifying the path to the template directory this way doesn't change the default.
For templates that require properties, you can provide them on the command line:
$ dm --properties prop1=value1,prop2=value2 deploy <template-name>:<version>
Changing a template registry
DM relies on Github to provide the tools and processes needed to add, modify or delete the contents of a template registry. Conventions for changing a template registry are defined by the registry maintainers, and should be published in the top level README.md or a file it references, following usual Github practices.
The Kubernetes Template Registry follows the git setup used by Kubernetes.