docs: add helm v3 command and regenerate notebook

SeldonIO · Mar 10, 2021 · 4580715 · 4580715
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diff --git a/doc/source/ingress/istio.md b/doc/source/ingress/istio.md
@@ -1,13 +1,13 @@
 # Ingress with Istio
 
-Seldon core can be used in conjuction with [istio](https://istio.io/). Istio provides an [ingress gateway](https://istio.io/docs/tasks/traffic-management/ingress/) which Seldon Core can automatically wire up new deployments to. The steps to using istio are described below.
+Seldon Core can be used in conjunction with [istio](https://istio.io/). Istio provides an [ingress gateway](https://istio.io/docs/tasks/traffic-management/ingress/) which Seldon Core can automatically wire up new deployments to. The steps to using istio are described below.
 
 ## Install Seldon Core Operator
 
 Ensure when you install the seldon-core operator via Helm that you enabled istio. For example:
 
 ```bash 
-helm install seldon-core-operator --name seldon-core --set istio.enabled=true --repo https://storage.googleapis.com/seldon-charts --set usageMetrics.enabled=true
+helm install seldon-core seldon-core-operator --set istio.enabled=true --repo https://storage.googleapis.com/seldon-charts --set usageMetrics.enabled=true
 ```
 
 You need an istio gateway installed in the `istio-system` namespace. By default we assume one called seldon-gateway. For example you can create this with the following yaml:
@@ -70,14 +70,14 @@ spec:
 If you have your own gateway you will use then you can provide the name when installing the seldon operator. For example if your gateway is called `mygateway` you can install the operator with:
 
 ```bash 
-helm install seldon-core-operator --name seldon-core --set istio.enabled=true --set istio.gateway=mygateway --repo https://storage.googleapis.com/seldon-charts --set usageMetrics.enabled=true
+helm install seldon-core seldon-core-operator --set istio.enabled=true --set istio.gateway=mygateway --repo https://storage.googleapis.com/seldon-charts --set usageMetrics.enabled=true
 ```
 
 You can also provide the gateway on a per Seldon Deployment resource basis by providing it with the annotation `seldon.io/istio-gateway`.
 
 ## Istio Configuration Annotation Reference
 
-| Annotation | Default |Description | 
+| Annotation | Default |Description |
 |------------|---------|------------|
 |`seldon.io/istio-gateway:<gateway name>`| istio-system/seldon-gateway | The gateway to use for this deployment. If no namespace prefix is applied it will refer to the namespace of the Seldon Deployment. |
 | `seldon.io/istio-retries` | None | The number of istio retries |

diff --git a/notebooks/istio_example.ipynb b/notebooks/istio_example.ipynb
@@ -29,7 +29,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Error from server (AlreadyExists): namespaces \"seldon\" already exists\r\n"
+      "namespace/seldon created\r\n"
      ]
     }
    ],
@@ -113,7 +113,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Error from server (AlreadyExists): error when creating \"resources/seldon-gateway.yaml\": gateways.networking.istio.io \"seldon-gateway\" already exists\r\n"
+      "gateway.networking.istio.io/seldon-gateway created\r\n"
      ]
     }
    ],
@@ -151,7 +151,7 @@
     {
      "data": {
       "text/plain": [
-       "'1.5.0-dev'"
+       "'1.7.0-dev'"
       ]
      },
      "execution_count": 6,
@@ -191,7 +191,7 @@
      "output_type": "stream",
      "text": [
       "NAME: mymodel\r\n",
-      "LAST DEPLOYED: Mon Nov  2 11:26:51 2020\r\n",
+      "LAST DEPLOYED: Wed Mar 10 16:37:01 2021\r\n",
       "NAMESPACE: seldon\r\n",
       "STATUS: deployed\r\n",
       "REVISION: 1\r\n",
@@ -214,47 +214,47 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[04m\u001b[31;01m-\u001b[39;49;00m\u001b[04m\u001b[31;01m-\u001b[39;49;00m\u001b[04m\u001b[31;01m-\u001b[39;49;00m\r\n",
-      "\u001b[04m\u001b[31;01m#\u001b[39;49;00m \u001b[04m\u001b[31;01mS\u001b[39;49;00m\u001b[04m\u001b[31;01mo\u001b[39;49;00m\u001b[04m\u001b[31;01mu\u001b[39;49;00m\u001b[04m\u001b[31;01mr\u001b[39;49;00m\u001b[04m\u001b[31;01mc\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01m:\u001b[39;49;00m \u001b[04m\u001b[31;01ms\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01ml\u001b[39;49;00m\u001b[04m\u001b[31;01md\u001b[39;49;00m\u001b[04m\u001b[31;01mo\u001b[39;49;00m\u001b[04m\u001b[31;01mn\u001b[39;49;00m\u001b[04m\u001b[31;01m-\u001b[39;49;00m\u001b[04m\u001b[31;01ms\u001b[39;49;00m\u001b[04m\u001b[31;01mi\u001b[39;49;00m\u001b[04m\u001b[31;01mn\u001b[39;49;00m\u001b[04m\u001b[31;01mg\u001b[39;49;00m\u001b[04m\u001b[31;01ml\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01m-\u001b[39;49;00m\u001b[04m\u001b[31;01mm\u001b[39;49;00m\u001b[04m\u001b[31;01mo\u001b[39;49;00m\u001b[04m\u001b[31;01md\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01ml\u001b[39;49;00m\u001b[04m\u001b[31;01m/\u001b[39;49;00m\u001b[04m\u001b[31;01mt\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01mm\u001b[39;49;00m\u001b[04m\u001b[31;01mp\u001b[39;49;00m\u001b[04m\u001b[31;01ml\u001b[39;49;00m\u001b[04m\u001b[31;01ma\u001b[39;49;00m\u001b[04m\u001b[31;01mt\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01ms\u001b[39;49;00m\u001b[04m\u001b[31;01m/\u001b[39;49;00m\u001b[04m\u001b[31;01ms\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01ml\u001b[39;49;00m\u001b[04m\u001b[31;01md\u001b[39;49;00m\u001b[04m\u001b[31;01mo\u001b[39;49;00m\u001b[04m\u001b[31;01mn\u001b[39;49;00m\u001b[04m\u001b[31;01md\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01mp\u001b[39;49;00m\u001b[04m\u001b[31;01ml\u001b[39;49;00m\u001b[04m\u001b[31;01mo\u001b[39;49;00m\u001b[04m\u001b[31;01my\u001b[39;49;00m\u001b[04m\u001b[31;01mm\u001b[39;49;00m\u001b[04m\u001b[31;01me\u001b[39;49;00m\u001b[04m\u001b[31;01mn\u001b[39;49;00m\u001b[04m\u001b[31;01mt\u001b[39;49;00m\u001b[04m\u001b[31;01m.\u001b[39;49;00m\u001b[04m\u001b[31;01mj\u001b[39;49;00m\u001b[04m\u001b[31;01ms\u001b[39;49;00m\u001b[04m\u001b[31;01mo\u001b[39;49;00m\u001b[04m\u001b[31;01mn\u001b[39;49;00m\r\n",
+      "\u001b[04m\u001b[91m-\u001b[39;49;00m\u001b[04m\u001b[91m-\u001b[39;49;00m\u001b[04m\u001b[91m-\u001b[39;49;00m\r\n",
+      "\u001b[04m\u001b[91m#\u001b[39;49;00m \u001b[04m\u001b[91mS\u001b[39;49;00m\u001b[04m\u001b[91mo\u001b[39;49;00m\u001b[04m\u001b[91mu\u001b[39;49;00m\u001b[04m\u001b[91mr\u001b[39;49;00m\u001b[04m\u001b[91mc\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91m:\u001b[39;49;00m \u001b[04m\u001b[91ms\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91ml\u001b[39;49;00m\u001b[04m\u001b[91md\u001b[39;49;00m\u001b[04m\u001b[91mo\u001b[39;49;00m\u001b[04m\u001b[91mn\u001b[39;49;00m\u001b[04m\u001b[91m-\u001b[39;49;00m\u001b[04m\u001b[91ms\u001b[39;49;00m\u001b[04m\u001b[91mi\u001b[39;49;00m\u001b[04m\u001b[91mn\u001b[39;49;00m\u001b[04m\u001b[91mg\u001b[39;49;00m\u001b[04m\u001b[91ml\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91m-\u001b[39;49;00m\u001b[04m\u001b[91mm\u001b[39;49;00m\u001b[04m\u001b[91mo\u001b[39;49;00m\u001b[04m\u001b[91md\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91ml\u001b[39;49;00m\u001b[04m\u001b[91m/\u001b[39;49;00m\u001b[04m\u001b[91mt\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91mm\u001b[39;49;00m\u001b[04m\u001b[91mp\u001b[39;49;00m\u001b[04m\u001b[91ml\u001b[39;49;00m\u001b[04m\u001b[91ma\u001b[39;49;00m\u001b[04m\u001b[91mt\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91ms\u001b[39;49;00m\u001b[04m\u001b[91m/\u001b[39;49;00m\u001b[04m\u001b[91ms\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91ml\u001b[39;49;00m\u001b[04m\u001b[91md\u001b[39;49;00m\u001b[04m\u001b[91mo\u001b[39;49;00m\u001b[04m\u001b[91mn\u001b[39;49;00m\u001b[04m\u001b[91md\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91mp\u001b[39;49;00m\u001b[04m\u001b[91ml\u001b[39;49;00m\u001b[04m\u001b[91mo\u001b[39;49;00m\u001b[04m\u001b[91my\u001b[39;49;00m\u001b[04m\u001b[91mm\u001b[39;49;00m\u001b[04m\u001b[91me\u001b[39;49;00m\u001b[04m\u001b[91mn\u001b[39;49;00m\u001b[04m\u001b[91mt\u001b[39;49;00m\u001b[04m\u001b[91m.\u001b[39;49;00m\u001b[04m\u001b[91mj\u001b[39;49;00m\u001b[04m\u001b[91ms\u001b[39;49;00m\u001b[04m\u001b[91mo\u001b[39;49;00m\u001b[04m\u001b[91mn\u001b[39;49;00m\r\n",
       "{\r\n",
-      "  \u001b[34;01m\"kind\"\u001b[39;49;00m: \u001b[33m\"SeldonDeployment\"\u001b[39;49;00m,\r\n",
-      "  \u001b[34;01m\"apiVersion\"\u001b[39;49;00m: \u001b[33m\"machinelearning.seldon.io/v1\"\u001b[39;49;00m,\r\n",
-      "  \u001b[34;01m\"metadata\"\u001b[39;49;00m: {\r\n",
-      "    \u001b[34;01m\"name\"\u001b[39;49;00m: \u001b[33m\"mymodel\"\u001b[39;49;00m,\r\n",
-      "    \u001b[34;01m\"namespace\"\u001b[39;49;00m: \u001b[33m\"seldon\"\u001b[39;49;00m,\r\n",
-      "    \u001b[34;01m\"labels\"\u001b[39;49;00m: {}\r\n",
+      "  \u001b[94m\"kind\"\u001b[39;49;00m: \u001b[33m\"SeldonDeployment\"\u001b[39;49;00m,\r\n",
+      "  \u001b[94m\"apiVersion\"\u001b[39;49;00m: \u001b[33m\"machinelearning.seldon.io/v1\"\u001b[39;49;00m,\r\n",
+      "  \u001b[94m\"metadata\"\u001b[39;49;00m: {\r\n",
+      "    \u001b[94m\"name\"\u001b[39;49;00m: \u001b[33m\"mymodel\"\u001b[39;49;00m,\r\n",
+      "    \u001b[94m\"namespace\"\u001b[39;49;00m: \u001b[33m\"seldon\"\u001b[39;49;00m,\r\n",
+      "    \u001b[94m\"labels\"\u001b[39;49;00m: {}\r\n",
       "  },\r\n",
-      "  \u001b[34;01m\"spec\"\u001b[39;49;00m: {\r\n",
-      "      \u001b[34;01m\"name\"\u001b[39;49;00m: \u001b[33m\"mymodel\"\u001b[39;49;00m,\r\n",
-      "      \u001b[34;01m\"protocol\"\u001b[39;49;00m: \u001b[33m\"seldon\"\u001b[39;49;00m,\r\n",
-      "    \u001b[34;01m\"annotations\"\u001b[39;49;00m: {},\r\n",
-      "    \u001b[34;01m\"predictors\"\u001b[39;49;00m: [\r\n",
+      "  \u001b[94m\"spec\"\u001b[39;49;00m: {\r\n",
+      "      \u001b[94m\"name\"\u001b[39;49;00m: \u001b[33m\"mymodel\"\u001b[39;49;00m,\r\n",
+      "      \u001b[94m\"protocol\"\u001b[39;49;00m: \u001b[33m\"seldon\"\u001b[39;49;00m,\r\n",
+      "    \u001b[94m\"annotations\"\u001b[39;49;00m: {},\r\n",
+      "    \u001b[94m\"predictors\"\u001b[39;49;00m: [\r\n",
       "      {\r\n",
-      "        \u001b[34;01m\"name\"\u001b[39;49;00m: \u001b[33m\"default\"\u001b[39;49;00m,\r\n",
-      "        \u001b[34;01m\"graph\"\u001b[39;49;00m: {\r\n",
-      "          \u001b[34;01m\"name\"\u001b[39;49;00m: \u001b[33m\"model\"\u001b[39;49;00m,\r\n",
-      "          \u001b[34;01m\"type\"\u001b[39;49;00m: \u001b[33m\"MODEL\"\u001b[39;49;00m,\r\n",
+      "        \u001b[94m\"name\"\u001b[39;49;00m: \u001b[33m\"default\"\u001b[39;49;00m,\r\n",
+      "        \u001b[94m\"graph\"\u001b[39;49;00m: {\r\n",
+      "          \u001b[94m\"name\"\u001b[39;49;00m: \u001b[33m\"model\"\u001b[39;49;00m,\r\n",
+      "          \u001b[94m\"type\"\u001b[39;49;00m: \u001b[33m\"MODEL\"\u001b[39;49;00m,\r\n",
       "        },\r\n",
-      "        \u001b[34;01m\"componentSpecs\"\u001b[39;49;00m: [\r\n",
+      "        \u001b[94m\"componentSpecs\"\u001b[39;49;00m: [\r\n",
       "          {\r\n",
-      "            \u001b[34;01m\"spec\"\u001b[39;49;00m: {\r\n",
-      "              \u001b[34;01m\"containers\"\u001b[39;49;00m: [\r\n",
+      "            \u001b[94m\"spec\"\u001b[39;49;00m: {\r\n",
+      "              \u001b[94m\"containers\"\u001b[39;49;00m: [\r\n",
       "                {\r\n",
-      "                  \u001b[34;01m\"name\"\u001b[39;49;00m: \u001b[33m\"model\"\u001b[39;49;00m,\r\n",
-      "                  \u001b[34;01m\"image\"\u001b[39;49;00m: \u001b[33m\"seldonio/mock_classifier:1.5.0-dev\"\u001b[39;49;00m,\r\n",
-      "                  \u001b[34;01m\"env\"\u001b[39;49;00m: [\r\n",
+      "                  \u001b[94m\"name\"\u001b[39;49;00m: \u001b[33m\"model\"\u001b[39;49;00m,\r\n",
+      "                  \u001b[94m\"image\"\u001b[39;49;00m: \u001b[33m\"seldonio/mock_classifier:1.7.0-dev\"\u001b[39;49;00m,\r\n",
+      "                  \u001b[94m\"env\"\u001b[39;49;00m: [\r\n",
       "                      {\r\n",
-      "                        \u001b[34;01m\"name\"\u001b[39;49;00m: \u001b[33m\"LOG_LEVEL\"\u001b[39;49;00m,\r\n",
-      "                        \u001b[34;01m\"value\"\u001b[39;49;00m: \u001b[33m\"INFO\"\u001b[39;49;00m\r\n",
+      "                        \u001b[94m\"name\"\u001b[39;49;00m: \u001b[33m\"LOG_LEVEL\"\u001b[39;49;00m,\r\n",
+      "                        \u001b[94m\"value\"\u001b[39;49;00m: \u001b[33m\"INFO\"\u001b[39;49;00m\r\n",
       "                      },\r\n",
       "                    ],\r\n",
-      "                  \u001b[34;01m\"resources\"\u001b[39;49;00m: {\u001b[34;01m\"requests\"\u001b[39;49;00m:{\u001b[34;01m\"memory\"\u001b[39;49;00m:\u001b[33m\"1Mi\"\u001b[39;49;00m}},\r\n",
+      "                  \u001b[94m\"resources\"\u001b[39;49;00m: {\u001b[94m\"requests\"\u001b[39;49;00m:{\u001b[94m\"memory\"\u001b[39;49;00m:\u001b[33m\"1Mi\"\u001b[39;49;00m}},\r\n",
       "                }\r\n",
       "              ]\r\n",
       "            },\r\n",
       "          }\r\n",
       "        ],\r\n",
-      "        \u001b[34;01m\"replicas\"\u001b[39;49;00m: \u001b[34m1\u001b[39;49;00m\r\n",
+      "        \u001b[94m\"replicas\"\u001b[39;49;00m: \u001b[34m1\u001b[39;49;00m\r\n",
       "      }\r\n",
       "    ]\r\n",
       "  }\r\n",
@@ -331,12 +331,12 @@
       "  tensor {\n",
       "    shape: 1\n",
       "    shape: 1\n",
-      "    values: 0.7700289654241149\n",
+      "    values: 0.721679221744617\n",
       "  }\n",
       "}\n",
       "\n",
       "Response:\n",
-      "{'data': {'names': ['proba'], 'tensor': {'shape': [1, 1], 'values': [0.10464583547528208]}}, 'meta': {}}\n"
+      "{'data': {'names': ['proba'], 'tensor': {'shape': [1, 1], 'values': [0.1002015221659356]}}, 'meta': {'requestPath': {'model': 'seldonio/mock_classifier:1.7.0-dev'}}}\n"
      ]
     }
    ],
@@ -364,9 +364,9 @@
      "text": [
       "Success:True message:\n",
       "Request:\n",
-      "{'meta': {}, 'data': {'tensor': {'shape': [1, 1], 'values': [0.12757803284172686]}}}\n",
+      "{'meta': {}, 'data': {'tensor': {'shape': [1, 1], 'values': [0.17825624441824628]}}}\n",
       "Response:\n",
-      "{'meta': {}, 'data': {'names': ['proba'], 'tensor': {'shape': [1, 1], 'values': [0.05791666150083342]}}}\n"
+      "{'meta': {'requestPath': {'model': 'seldonio/mock_classifier:1.7.0-dev'}}, 'data': {'names': ['proba'], 'tensor': {'shape': [1, 1], 'values': [0.06074453279395597]}}}\n"
      ]
     }
    ],
@@ -394,13 +394,6 @@
    "source": [
     "!helm delete mymodel"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -420,7 +413,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.8.3"
   },
   "varInspector": {
    "cols": {