Deckhand

Deckhand is a storage service for YAML-based configuration documents, which are managed through version control and automatically validated. Deckhand provides users with a variety of different document types that describe complex configurations using the features listed below.

Core Responsibilities

• layering - helps reduce duplication in configuration while maintaining auditability across many sites
• substitution - provides separation between secret data and other configuration data, while allowing a simple interface for clients
• revision history - improves auditability and enables services to provide functional validation of a well-defined collection of documents that are meant to operate together
• validation - allows services to implement and register different kinds of validations and report errors

Getting Started

For more detailed installation and setup information, please refer to the Getting Started guide.

Testing

Automated Testing

To run unit tests using sqlite, execute:

$ tox -epy27
$ tox -epy35

against a py27- or py35-backed environment, respectively. To run individual unit tests, run:

$ tox -e py27 -- deckhand.tests.unit.db.test_revisions

for example.

To run functional tests:

$ tox -e functional

You can also run a subset of tests via a regex:

$ tox -e functional -- gabbi.suitemaker.test_gabbi_document-crud-success-multi-bucket

Intgration Points

Deckhand has the following integration points:

• Keystone (OpenStack Identity service) provides authentication and support for role based authorization.
• PostgreSQL is used to persist information to correlate workflows with users and history of workflow commands.

Note

Currently, other database backends are not supported.

Though, being a low-level service, has many other UCP services that integrate with it, including:

• Drydock is orchestrated by Shipyard to perform bare metal node provisioning.
• Promenade is indirectly orchestrated by Shipyard to configure and join Kubernetes nodes.
• Armada is orchestrated by Shipyard to deploy and test Kubernetes workloads.

Further Reading

Undercloud Platform (UCP).