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274 lines
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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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Containerize OpenStack
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======================
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When upgrading or downgrading OpenStack, it is possible to use package based
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management or image-based management. Containerizing OpenStack is meant to
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optimize image-based management of OpenStack. Containerizing OpenStack
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solves a manageability and availability problem with the current state of the
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art deployment systems in OpenStack.
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Problem description
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===================
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Current state of the art deployment systems use either image based or package
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based upgrade.
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Image based upgrades are utilized by TripleO. When TripleO updates a system,
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it creates an image of the entire disk and deploys that rather than just the
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parts that compose the OpenStack deployment. This results in significant
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loss of availability. Further running VMs are shut down in the imaging
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process. However, image based systems offer atomicity, because all related
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software for a service is updated in one atomic action by reimaging the system.
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Other systems use package based upgrade. Package based upgrades suffer from
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a non-atomic nature. An update may update 1 or more RPM packages. The update
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process could fail for any number of reasons, and there is no way to back
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out the existing changes. Typically in an OpenStack deployment it is
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desirable to update a service that does one thing including it's dependencies
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as an atomic unit. Package based upgrades do not offer atomicity.
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To solve this problem, containers can be used to provide an image-based update
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approach which offers atomic upgrade of a running system with minimal
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interruption in service. A rough prototype of compute upgrade [1] shows
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approximately a 10 second window of unavailability during a software update.
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The prototype keeps virtual machines running without interruption.
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Use cases
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---------
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1. Upgrade or rollback OpenStack deployments atomically. End-user wants to
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change the running software versions in her system to deploy a new upstream
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release without interrupting service for significant periods.
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2. Upgrade OpenStack based by component. End-user wants to upgrade her system
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in fine-grained chunks to limit damage from a failed upgrade.
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3. Rollback OpenStack based by component. End-user experienced a failed
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upgrade and wishes to rollback to the last known good working version.
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Proposed change
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===============
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An OpenStack deployment based on containers are represented in a tree structure
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with each node representing a container set, and each leaf representing a
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container.
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The full properties of a container set:
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* A container set is composed of one or more container subsets or one or more
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individual containers
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* A container set provides a single logical service
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* A container set is managed as a unit during startup, shutdown, and version
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* Each container set is launched together as one unit
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* A container set with subsets is launched as one unit including all subsets
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* A container set is not atomically managed
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* A container set provides appropriate hooks for high availability monitoring
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The full properties of a container:
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* A container is atomically upgraded or rolled back
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* A container includes a monotonically increasing generation number to identify
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the container's age in comparison with other containers
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* A container has a single responsibility
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* A container may be super-privileged when it needs significant access to the
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host including:
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* the network namespace of the host
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* The UUID namespace of the host
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* The IPC namespace of the host
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* Filesystem sharing of the host for persistent storage
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* A container may lack any privileges when it does not require significant
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access to the host.
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* A container should include a check function for evaluating its own health.
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* A container will include proper PID 1 handling for reaping exited child
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processes.
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The top level container sets are composed of:
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* database control
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* messaging control
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* high availability control
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* OpenStack interface
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* OpenStack control
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* OpenStack compute operation
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* OpenStack network operation
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* OpenStack storage operation
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The various container sets are composed in more detail as follows:
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* Database control
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* galera
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* mariadb
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* mongodb
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* Messaging control
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* rabbitmq
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* High availability control
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* HAProxy
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* keepalived
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* OpenStack interface
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* keystone
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* glance-api
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* nova-api
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* ceilometer-api
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* heat-api
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* OpenStack control
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* glance-controller
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* glance-registry
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* nova-controller
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* nova-conductor
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* nova-scheduler
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* metadata-service
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* cinder-controller
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* neutron-controller
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* neutron-server
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* ceilometer-controller
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* ceilometer-alarm
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* ceilometer-base
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* ceilometer-central
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* ceilometer-collector
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* ceilometer-notification
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* heat-controller
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* heat-engine
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* OpenStack compute operation
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* nova-compute
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* nova-libvirt
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* neutron-agents-linux-bridge
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* neutron-agents-ovs
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* OpenStack network operation
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* dhcp-agent
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* l3-agent
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* metadata-agent
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* lbaas-agent
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* fwaas-agent
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* OpenStack storage operation
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* Cinder
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* Swift
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* swift-account
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* swift-base
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* swift-container
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* swift-object
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* swift-proxy-server
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In order to achieve the desired results, we plan to permit super-privileged
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containers. A super-privileged container is defined as any container launched
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with the --privileged=true flag to docker that:
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* bind-mounts specific security-crucial host operating system directories
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with -v. This includes nearly all directories in the filesystem except for
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leaf directories with no other host operating system use.
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* shares any namespace with the --ipc=host, --pid=host, or --net=host flags
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We will use the docker flag --restart=always to provide some measure of
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high availability for the individual containers and ensure they operate
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correctly as currently designed.
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A host tool will run and monitor the container's built-in check script via
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docker exec to validate the container is operational on a pre-configured timer.
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If the container does not pass its healthcheck operation, it should be
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restarted.
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Integration of metadata with fig or a similar single node Docker orchestration
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tool will be implemented. Even though fig executes on a single node, the
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containers will be designed to run multi-node and the deploy tool should take
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some form of information to allow it to operate multi-node. The deploy tool
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should take a set of key/value pairs as inputs and convert them into inputs
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into the environment passed to Docker. These key/value pairs could be a file
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or environment variables. We will not offer integration with multi-node
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scheduling or orchestration tools, but instead expect our consumers to manage
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each bare metal machine using our fig or similar in nature tool integration.
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Any contributions from the community of the required metadata to run these
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containers using a multi-node orchestration tool will be warmly received but
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generally won't be maintained by the core team.
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The technique for launching the deploy script is not handled by Kolla. This
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is a problem for a higher level deployment tool such as TripleO or Fuel to
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tackle.
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Logs from the individual containers will be retrievable in some consistent way.
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Security impact
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---------------
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Container usage with super-privileged mode may possibly impact security. For
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example, when using --net=host mode and bind-mounting /run which is necessary
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for a compute node, it is possible that a compute breakout could corrupt the
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host operating system.
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To mitigate security concerns, solutions such as SELinux and AppArmor should
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be used where appropriate to contain the security privileges of the containers.
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Performance Impact
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------------------
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The upgrade or downgrade process changes from a multi-hour outage to a 10
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second outage across the system.
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Implementation
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==============
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Assignee(s)
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-----------
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Primary assignee:
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kolla maintainers
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Work Items
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----------
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1. Container Sets
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2. Containers
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3. A minimal proof of concept single-node fig deployment integration
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4. A minimal proof of concept fig healthchecking integration
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Testing
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=======
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Functional tests will be implemented in the OpenStack check/gating system to
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automatically check that containers pass each container's functional tests
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stored in the project's repositories.
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Documentation Impact
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====================
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The documentation impact is unclear as this project is a proof of concept
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with no clear delivery consumer.
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References
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==========
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* [1] https://github.com/sdake/compute-upgrade
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