Add manifests dir to define K8s resources for the UI

clients/ui/bff/Dockerfile

@@ -34,8 +34,4 @@ USER 65532:65532
 # Expose port 4000
 EXPOSE 4000
 
-# Define environment variables
-ENV PORT 4001
-ENV ENV development
-
 ENTRYPOINT ["/bff"]

clients/ui/manifests/base/README.md

@@ -0,0 +1,63 @@
+[Model registry server set up]: ../../bff/docs/dev-guide.md
+
+## Deploying the Model Registry UI in a local cluster
+
+For this guide, we will be using kind for locally deploying our cluster. See
+the [Model registry server set up] guide for prerequisites on setting up kind 
+and deploying the model registry server.
+
+### Setup
+#### 1. Create a kind cluster
+Create a local cluster for running the MR UI using the following command:
+```shell
+kind create cluster
+```
+
+#### 2. Create kubeflow namespace
+Create a namespace for model registry to run in, by default this is kubeflow, run:
+```shell
+kubectl create namespace kubeflow
+```
+
+#### 3. Deploy Model Registry UI to cluster
+You can now deploy the UI and BFF to your newly created cluster using the kustomize configs in this directory:
+```shell
+cd clients/ui
+
+kubectl apply -k manifests/base/ -n kubeflow
+```
+
+After a few seconds you should see 2 pods running (1 for BFF and 1 for UI):
+```shell
+kubectl get pods -n kubeflow
+```
+```
+NAME                                  READY   STATUS    RESTARTS   AGE
+model-registry-bff-746f674b99-bfvgs   1/1     Running   0          11s
+model-registry-ui-58755c4754-zdrnr    1/1     Running   0          11s
+```
+
+#### 4. Access the Model Registry UI running in the cluster
+Now that the pods are up and running you can access the UI.
+
+First you will need to port-forward the UI service by running the following in it's own terminal:
+```shell
+kubectl port-forward service/model-registry-ui-service 8080:8080 -n kubeflow
+```
+
+You can then access the UI running in your cluster locally at http://localhost:8080/
+
+To test the BFF separately you can also port-forward that service by running:
+```shell
+kubectl port-forward service/model-registry-bff-service 4000:4000 -n kubeflow
+```
+
+You can now make API requests to the BFF endpoints like:
+```shell
+curl http://localhost:4000/api/v1/model-registry
+```
+```
+{
+    "model_registry": null
+}
+```

clients/ui/manifests/base/kustomization.yaml

@@ -0,0 +1,15 @@
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+
+resources:
+  - model-registry-bff-role.yaml
+  - model-registry-bff-service.yaml
+  - model-registry-bff-deployment.yaml
+  - model-registry-ui-service.yaml
+  - model-registry-ui-deployment.yaml
+
+images:
+  - name: model-registry-ui-image
+    newName: quay.io/gsulliva/mr-ui:latest
+  - name: model-registry-bff-image
+    newName: quay.io/gsulliva/mr-bff:latest

clients/ui/manifests/base/model-registry-bff-deployment.yaml

@@ -0,0 +1,28 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: model-registry-bff
+  labels:
+    app: model-registry-bff
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: model-registry-bff
+  template:
+    metadata:
+      labels:
+        app: model-registry-bff
+    spec:
+      containers:
+      - name: model-registry-bff
+        image: model-registry-bff-image
+        resources:
+          limits:
+            cpu: 500m
+            memory: 2Gi
+          requests:
+            cpu: 500m
+            memory: 2Gi
+        ports:
+          - containerPort: 4000

clients/ui/manifests/base/model-registry-bff-role.yaml

@@ -0,0 +1,23 @@
+---
+kind: ClusterRole
+apiVersion: rbac.authorization.k8s.io/v1
+metadata:
+  name: bff-service-reader
+rules:
+- apiGroups: [""]
+  resources: ["services"]
+  verbs: ["get", "watch", "list"]
+
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRoleBinding
+metadata:
+  name: bff-read-services
+subjects:
+- kind: ServiceAccount
+  name: default
+  namespace: kubeflow
+roleRef:
+  kind: ClusterRole
+  name: bff-service-reader
+  apiGroup: rbac.authorization.k8s.io

clients/ui/manifests/base/model-registry-bff-service.yaml

@@ -0,0 +1,11 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: model-registry-bff-service
+spec:
+  selector:
+    app: model-registry-bff
+  ports:
+    - protocol: TCP
+      port: 4000
+      targetPort: 4000

clients/ui/manifests/base/model-registry-ui-deployment.yaml

@@ -0,0 +1,28 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: model-registry-ui
+  labels:
+    app: model-registry-ui
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: model-registry-ui
+  template:
+    metadata:
+      labels:
+        app: model-registry-ui
+    spec:
+      containers:
+      - name: model-registry-ui
+        image: model-registry-ui-image
+        resources:
+          limits:
+            cpu: 500m
+            memory: 2Gi
+          requests:
+            cpu: 500m
+            memory: 2Gi
+        ports:
+          - containerPort: 8080

clients/ui/manifests/base/model-registry-ui-service.yaml

@@ -0,0 +1,12 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: model-registry-ui-service
+spec:
+  selector:
+    app: model-registry-ui
+  ports:
+    - protocol: TCP
+      port: 8080
+      targetPort: 8080
+      name: http