fix(docs): Migrated the traefik service mesh content

docs-gb/kubernetes/service-meshes/traefik.md

@@ -11,15 +11,239 @@ We will run through some examples as shown in the notebook `service-meshes/traef
  * Traefik IngressRoute
  * Traefik Middleware for adding a header
 
-```{literalinclude} ../../../../../../service-meshes/traefik/static/single-model.yaml 
-:language: yaml
+```yaml
+apiVersion: v1
+kind: Service
+metadata:
+  name: myapps
+  namespace: seldon-mesh
+spec:
+  ports:
+  - name: web
+    port: 80
+    protocol: TCP
+  selector:
+    app: traefik-ingress-lb
+  type: LoadBalancer
+---
+apiVersion: mlops.seldon.io/v1alpha1
+kind: Model
+metadata:
+  name: iris
+  namespace: seldon-mesh
+spec:
+  requirements:
+  - sklearn
+  storageUri: gs://seldon-models/mlserver/iris
+---
+apiVersion: traefik.containo.us/v1alpha1
+kind: IngressRoute
+metadata:
+  name: iris
+  namespace: seldon-mesh
+spec:
+  entryPoints:
+  - web
+  routes:
+  - kind: Rule
+    match: PathPrefix(`/`)
+    middlewares:
+    - name: iris-header
+    services:
+    - name: seldon-mesh
+      port: 80
+      scheme: h2c
+---
+apiVersion: traefik.containo.us/v1alpha1
+kind: Middleware
+metadata:
+  name: iris-header
+  namespace: seldon-mesh
+spec:
+  headers:
+    customRequestHeaders:
+      seldon-model: iris
 ```
 
 ## Traffic Split
 
-```{warning}
-Traffic splitting does not presently work due to this [issue](https://github.com/emissary-ingress/emissary/issues/4062). We recommend you use a Seldon Experiment instead.
+{% hint style="warning" %}
+**Warning** Traffic splitting does not presently work due to this [issue](https://github.com/emissary-ingress/emissary/issues/4062). We recommend you use a Seldon Experiment instead.
+{% endhint %}
+
+## Traefik Examples
+
+Assumes
+
+ * You have installed Traefik as per their [docs](https://doc.traefik.io/traefik/getting-started/install-traefik/#use-the-helm-chart) into namespace traefik-v2
+
+ Tested with traefik-10.19.4
+
+
+
+```python
+INGRESS_IP=!kubectl get svc traefik -n traefik-v2 -o jsonpath='{.status.loadBalancer.ingress[0].ip}'
+INGRESS_IP=INGRESS_IP[0]
+import os
+os.environ['INGRESS_IP'] = INGRESS_IP
+INGRESS_IP
 ```
 
-```{include} ../../../../../../service-meshes/traefik/README.md
+
+
+
+    '172.21.255.1'
+
+
+
+### Traefik Single Model Example
+
+
+```python
+!kustomize build config/single-model
 ```
+
+    apiVersion: v1
+    kind: Service
+    metadata:
+      name: myapps
+      namespace: seldon-mesh
+    spec:
+      ports:
+      - name: web
+        port: 80
+        protocol: TCP
+      selector:
+        app: traefik-ingress-lb
+      type: LoadBalancer
+    ---
+    apiVersion: mlops.seldon.io/v1alpha1
+    kind: Model
+    metadata:
+      name: iris
+      namespace: seldon-mesh
+    spec:
+      requirements:
+      - sklearn
+      storageUri: gs://seldon-models/mlserver/iris
+    ---
+    apiVersion: traefik.containo.us/v1alpha1
+    kind: IngressRoute
+    metadata:
+      name: iris
+      namespace: seldon-mesh
+    spec:
+      entryPoints:
+      - web
+      routes:
+      - kind: Rule
+        match: PathPrefix(`/`)
+        middlewares:
+        - name: iris-header
+        services:
+        - name: seldon-mesh
+          port: 80
+          scheme: h2c
+    ---
+    apiVersion: traefik.containo.us/v1alpha1
+    kind: Middleware
+    metadata:
+      name: iris-header
+      namespace: seldon-mesh
+    spec:
+      headers:
+        customRequestHeaders:
+          seldon-model: iris
+
+
+
+```python
+!kustomize build config/single-model | kubectl apply -f -
+```
+
+    service/myapps created
+    model.mlops.seldon.io/iris created
+    ingressroute.traefik.containo.us/iris created
+    middleware.traefik.containo.us/iris-header created
+
+
+
+```python
+!kubectl wait --for condition=ready --timeout=300s model --all -n seldon-mesh
+```
+
+    model.mlops.seldon.io/iris condition met
+
+
+
+```python
+!curl -v http://${INGRESS_IP}/v2/models/iris/infer -H "Content-Type: application/json" \
+        -d '{"inputs": [{"name": "predict", "shape": [1, 4], "datatype": "FP32", "data": [[1, 2, 3, 4]]}]}'
+```
+
+    *   Trying 172.21.255.1...
+    * Connected to 172.21.255.1 (172.21.255.1) port 80 (#0)
+    > POST /v2/models/iris/infer HTTP/1.1
+    > Host: 172.21.255.1
+    > User-Agent: curl/7.47.0
+    > Accept: */*
+    > Content-Type: application/json
+    > Content-Length: 94
+    > 
+    * upload completely sent off: 94 out of 94 bytes
+    < HTTP/1.1 200 OK
+    < Content-Length: 196
+    < Content-Type: application/json
+    < Date: Sat, 16 Apr 2022 15:53:27 GMT
+    < Seldon-Route: iris_1
+    < Server: envoy
+    < X-Envoy-Upstream-Service-Time: 895
+    < 
+    * Connection #0 to host 172.21.255.1 left intact
+    {"model_name":"iris_1","model_version":"1","id":"0dccf477-78fa-4a11-92ff-4d7e4f1cdda8","parameters":null,"outputs":[{"name":"predict","shape":[1],"datatype":"INT64","parameters":null,"data":[2]}]}
+
+
+```python
+!grpcurl -d '{"model_name":"iris","inputs":[{"name":"input","contents":{"fp32_contents":[1,2,3,4]},"datatype":"FP32","shape":[1,4]}]}' \
+    -plaintext \
+    -import-path ../../apis \
+    -proto ../../apis/mlops/v2_dataplane/v2_dataplane.proto \
+    ${INGRESS_IP}:80 inference.GRPCInferenceService/ModelInfer
+```
+
+    {
+      "modelName": "iris_1",
+      "modelVersion": "1",
+      "outputs": [
+        {
+          "name": "predict",
+          "datatype": "INT64",
+          "shape": [
+            "1"
+          ],
+          "contents": {
+            "int64Contents": [
+              "2"
+            ]
+          }
+        }
+      ]
+    }
+
+
+
+```python
+!kustomize build config/single-model | kubectl delete -f -
+```
+
+    service "myapps" deleted
+    model.mlops.seldon.io "iris" deleted
+    ingressroute.traefik.containo.us "iris" deleted
+    middleware.traefik.containo.us "iris-header" deleted
+
+
+
+```python
+
+```
+