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PlantUML Macro
titlePlacement and Action Controller Registration
@startuml
skinparam roundcorner 20
title Register placement and action controllers via Controller API

actor Admin

box "Distributed Application Scheduler\n(orchestrator)" #LightBlue
participant Controller_API
participant GRPC_Server_info
participant scheduler
end box

box "EMCO DB" #LightGreen
database mongo
end box

box "AppContext" #LightGreen
database etcd
end box

box "Placement Controller(s)" #LightBlue
participant UpdateContextAPI_place
end box

box "Action Controller(s)" #LightBlue
participant UpdateContextAPI_action
end box

loop for all placement and action controllers
Admin -> Controller_API : POST controller\nregistration information\n(Name, Host, Port, Type, Priority)
Controller_API -> mongo : Save controller record
Controller_API -> GRPC_Server_info : add a GRPC connection\nto controller to\ninternal table
Controller_API -> Admin : Return
end


== Some time later - orchestrator\nis preparing an AppContext\nfor deployment ==
|||
scheduler -> etcd : Prepares initial AppContext\nfor the composite app\nusing the generic\nplacement intents
scheduler -> mongo : Retrieve all controllers\nrequired for this AppContext\ndeployment

loop for all placement controllers in priority order
scheduler -> GRPC_Server_info : Retrieve gRPC connection\nfor controller
scheduler -> UpdateContextAPI_place : GRPC UpdateContext API call (AppContext identifier)
UpdateContextAPI_place -> etcd : updates AppContext according to\nthis controllers placement function
UpdateContextAPI_place -> scheduler : return
end
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loop for all action controllers in priority order
scheduler -> GRPC_Server_info : Retrieve gRPC connection\nfor controller
scheduler -> UpdateContextAPI_action : GRPC UpdateContext API call (AppContext identifier)
UpdateContextAPI_action -> etcd : updates AppContext according to\nthis controllers action function
UpdateContextAPI_action -> scheduler : return
end

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@enduml

Onboard Clusters

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Clusters are onboarded to EMCO by first creating a Cluster Provider and then adding Clusters to the Cluster Provider.

When a cluster is created, the KubeConfig file for that cluster is provided as part of the multi-part POST call to the Cluster API.

Additionally, once a Cluster is created, labels and key value pairs may be added to the Cluster via the API.  Clusters can be specified by label when preparing placement intents.

The sequence diagram illustrates the process onboarding the cluster and a couple examples of how other sequences in the EMCO system obtain cluster information during operation.

PlantUML Macro
titleCluster Onboarding
@startuml
skinparam roundcorner 20
title Onboard clusters

actor Admin

box "Cluster Manager\n(clm)" #LightBlue
participant Cluster_API
participant Cluster_Module
end box

box "Distributed Application Scheduler\n(orchestrator)" #LightBlue
participant Controller_API
participant GRPC_Server_info
participant scheduler
end box

box "EMCO DB" #LightGreen
database mongo
end box

box "AppContext" #LightGreen
database etcd
end box

box "Resource Synchronizer\n(rsync)" #LightBlue
participant rsync
end box

box "Edge Cluster"
participant K8S_API
end box


Admin -> Cluster_API ++ : POST cluster_provider (name)
Cluster_API -> Cluster_Module ++ : call create cluster\nprovider handler
Cluster_Module -> mongo : Save cluster provider record
Cluster_Module -> Cluster_API -- : return
Cluster_API -> Admin -- : return

Admin -> Cluster_API ++ : POST cluster (name, kubeconfig file)
Cluster_API -> Cluster_Module ++ : call create cluster\nhandler
Cluster_Module -> mongo : Save cluster record
Cluster_Module -> Cluster_API -- : return
Cluster_API -> Admin -- : return

Admin -> Cluster_API ++ : POST label(s) or kvpair(s) (optionally)
Cluster_API -> Cluster_Module ++ : call create cluster label\nor kv pair handler
Cluster_Module -> mongo : Save cluster label or\nkv pair record
Cluster_Module -> Cluster_API -- : return
Cluster_API -> Admin -- : return


== Some time later - generic placement controller\nis preparing an AppContext\nfor deployment ==
|||
scheduler -> Cluster_Module ++ : GET clusters by label (or name)
Cluster_Module -> mongo : retrieve cluster records by label
Cluster_Module -> scheduler -- : return
loop for all resources in a cluster
scheduler -> etcd : Create cluster key(s)\nin AppContext and add\nappropriate resources
end

== Some time later - rsync is\ndeploying resources to a cluster ==
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loop for all clusters in a composite application
rsync -> rsync : get k8s client for cluster
rsync -> Cluster_Module ++ : if no k8s client, GET kubeconfig for cluster
Cluster_Module -> mongo : retrieve cluster kubeconfig
Cluster_Module -> rsync -- : return
rsync -> rsync : create k8s client with kubeconfig
loop for all resources in a cluster
rsync -> K8S_API : apply resource to cluster
end
end

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@enduml


Create Network Intents

(show how network intents are defined and deployed to clusters)

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