merge release 1.16.0

dominodatalab · May 1, 2023 · 50f582b · 50f582b
2 parents ac0bdfd + 116fd01
commit 50f582b
Show file tree

Hide file tree

Showing 21 changed files with 14,498 additions and 31,091 deletions.
diff --git a/.github/workflows/security_tests.yml b/.github/workflows/security_tests.yml
@@ -25,30 +25,42 @@ jobs:
   security-operator:
 
     runs-on: ubuntu-latest
-    container: snyk/snyk:golang
 
     steps:
     - uses: actions/checkout@v2
     - name: security-operator
+      # NOTE: We use the Snyk action (instead of the Snyk base image) so that
+      # it respects the Go version we use.
+      uses: snyk/actions/golang@master
+      with:
+        args: --fail-on=upgradable
+          --severity-threshold=high
+          --file=operator/go.mod
       env:
         SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
-      run: |
-        make -C operator/ fmt
-        snyk test --file=operator/go.mod --fail-on=upgradable --severity-threshold=high
 
   security-executor:
 
     runs-on: ubuntu-latest
-    container: snyk/snyk:golang
 
     steps:
     - uses: actions/checkout@v2
+    - uses: snyk/actions/setup@master
+    - uses: actions/setup-go@v3      
+      with:
+        go-version: '^1.17.0'
+    - name: Set up executor's environmnet
+      # NOTE: The executor needs a couple extra steps before we can build it,
+      # like copying the operator's package into the executor's folder so that
+      # it's accessible.
+      run: make -C executor/ executor
     - name: security-executor
+      run: snyk test \
+        --fail-on=upgradable
+        --severity-threshold=high
+        --file=executor/go.mod
       env:
         SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
-      run: |
-        make -C executor/ executor
-        snyk test --file=executor/go.mod --fail-on=upgradable --severity-threshold=high
 
   security-image-executor:
 

diff --git a/doc/source/reference/images.md b/doc/source/reference/images.md
@@ -5,43 +5,43 @@
 
 | Description | Image URL | Stable Version | Development |
 |-------------|-----------|----------------|-------------|
-| [Seldon Operator](../workflow/install.md) | [seldonio/seldon-core-operator](https://hub.docker.com/r/seldonio/seldon-core-operator/tags/) | 1.15.0 | 1.16.0-dev |
-| [Seldon Service Orchestrator (Go)](../graph/svcorch.md)| [seldonio/seldon-core-executor](https://hub.docker.com/r/seldonio/executor/tags/) | 1.15.0 | 1.16.0-dev |
+| [Seldon Operator](../workflow/install.md) | [seldonio/seldon-core-operator](https://hub.docker.com/r/seldonio/seldon-core-operator/tags/) | 1.16.0 | 1.17.0-dev |
+| [Seldon Service Orchestrator (Go)](../graph/svcorch.md)| [seldonio/seldon-core-executor](https://hub.docker.com/r/seldonio/executor/tags/) | 1.16.0 | 1.17.0-dev |
 
 ## Pre-packaged servers
 
 
 | Description | Image URL | Version |
 |-------------|-----------|---------|
-| [MLFlow Server](../servers/mlflow.md) | [seldonio/mlflowserver](https://hub.docker.com/r/seldonio/mlflowserver/tags/) | 1.15.0 |
-| [SKLearn Server](../servers/sklearn.md) | [seldonio/sklearnserver](https://hub.docker.com/r/seldonio/sklearnserver/tags/) | 1.15.0 |
-| [XGBoost Server](../servers/xgboost.md) | [seldonio/xgboostserver](https://hub.docker.com/r/seldonio/xgboostserver/tags/) | 1.15.0 |
+| [MLFlow Server](../servers/mlflow.md) | [seldonio/mlflowserver](https://hub.docker.com/r/seldonio/mlflowserver/tags/) | 1.16.0 |
+| [SKLearn Server](../servers/sklearn.md) | [seldonio/sklearnserver](https://hub.docker.com/r/seldonio/sklearnserver/tags/) | 1.16.0 |
+| [XGBoost Server](../servers/xgboost.md) | [seldonio/xgboostserver](https://hub.docker.com/r/seldonio/xgboostserver/tags/) | 1.16.0 |
 
 ## Language wrappers
 
 | Description | Image URL | Stable Version | Development |
 |-------------|-----------|----------------|-------------|
-| [Seldon Python 3 (3.8) Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python3](https://hub.docker.com/r/seldonio/seldon-core-s2i-python3/tags/) | 1.15.0 | 1.16.0-dev |
-| [Seldon Python 3.6 Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python36](https://hub.docker.com/r/seldonio/seldon-core-s2i-python36/tags/) | 1.15.0 | 1.16.0-dev |
-| [Seldon Python 3.7 Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python37](https://hub.docker.com/r/seldonio/seldon-core-s2i-python37/tags/) | 1.15.0 | 1.16.0-dev |
-| [Seldon Python 3.8 Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python38](https://hub.docker.com/r/seldonio/seldon-core-s2i-python38/tags/) |  1.15.0  | 1.16.0-dev |
-| [Seldon Python 3.6 GPU Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python36-gpu](https://hub.docker.com/r/seldonio/seldon-core-s2i-python36-gpu/tags/) | 1.15.0 | 1.16.0-dev |
-| [Seldon Python 3.7 GPU Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python37-gpu](https://hub.docker.com/r/seldonio/seldon-core-s2i-python37-gpu/tags/) | 1.15.0 | 1.16.0-dev |
-| [Seldon Python 3.8 GPU Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python38-gpu](https://hub.docker.com/r/seldonio/seldon-core-s2i-python38-gpu/tags/) | 1.15.0 | 1.16.0-dev |
+| [Seldon Python 3 (3.8) Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python3](https://hub.docker.com/r/seldonio/seldon-core-s2i-python3/tags/) | 1.16.0 | 1.17.0-dev |
+| [Seldon Python 3.6 Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python36](https://hub.docker.com/r/seldonio/seldon-core-s2i-python36/tags/) | 1.16.0 | 1.17.0-dev |
+| [Seldon Python 3.7 Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python37](https://hub.docker.com/r/seldonio/seldon-core-s2i-python37/tags/) | 1.16.0 | 1.17.0-dev |
+| [Seldon Python 3.8 Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python38](https://hub.docker.com/r/seldonio/seldon-core-s2i-python38/tags/) |  1.16.0  | 1.17.0-dev |
+| [Seldon Python 3.6 GPU Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python36-gpu](https://hub.docker.com/r/seldonio/seldon-core-s2i-python36-gpu/tags/) | 1.16.0 | 1.17.0-dev |
+| [Seldon Python 3.7 GPU Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python37-gpu](https://hub.docker.com/r/seldonio/seldon-core-s2i-python37-gpu/tags/) | 1.16.0 | 1.17.0-dev |
+| [Seldon Python 3.8 GPU Wrapper for S2I](../python/python_wrapping_s2i.md) | [seldonio/seldon-core-s2i-python38-gpu](https://hub.docker.com/r/seldonio/seldon-core-s2i-python38-gpu/tags/) | 1.16.0 | 1.17.0-dev |
 
 ## Server proxies
 
 | Description | Image URL | Stable Version |
 |-------------|-----------|----------------|
 | [SageMaker proxy](https://github.com/SeldonIO/seldon-core/tree/master/integrations/sagemaker) | [seldonio/sagemaker-proxy](https://hub.docker.com/r/seldonio/sagemaker-proxy/tags/) | 0.1 |
-| [Tensorflow Serving proxy](../servers/tensorflow.md) | [seldonio/tfserving-proxy](https://hub.docker.com/r/seldonio/tfserving-proxy/tags/) | 1.15.0 |
+| [Tensorflow Serving proxy](../servers/tensorflow.md) | [seldonio/tfserving-proxy](https://hub.docker.com/r/seldonio/tfserving-proxy/tags/) | 1.16.0 |
 
 
 ## Python modules
 
 | Description | Python Version | Version |
 |-------------|----------------|---------|
-| [seldon-core](https://pypi.org/project/seldon-core/) | >3.4,<3.9 | 1.15.0 |
+| [seldon-core](https://pypi.org/project/seldon-core/) | >3.4,<3.9 | 1.16.0 |
 | [seldon-core](https://pypi.org/project/seldon-core/) | 2,>=3,<3.7 | 0.2.6 (deprecated) |
 
 

diff --git a/doc/source/servers/overview.md b/doc/source/servers/overview.md
@@ -327,6 +327,24 @@ stringData:
 Note: remote name is `gcs` here so urls would take form similar to `gcs:<your bucket>`.
 Tip: using `cat gcloud-application-credentials.json | jq -c .` can help to easily collapse credentials.json into one line.
 
+### Example Azure Blob with Account Key
+
+Reference: [rclone documentation](https://rclone.org/azureblob/)
+
+```yaml
+apiVersion: v1
+kind: Secret
+metadata:
+  name: seldon-rclone-secret
+type: Opaque
+stringData:
+  RCLONE_CONFIG_AZUREBLOB_TYPE: azureblob
+  RCLONE_CONFIG_AZUREBLOB_ACCOUNT: ""
+  RCLONE_CONFIG_AZUREBLOB_ENV_AUTH: "false"
+  RCLONE_CONFIG_AZUREBLOB_KEY: ""
+```
+Note: remote name is `azureblob` here so urls would take form similar to `azureblob:<container>/path/to/dir`.
+
 ### Directly from PVC
 
 You are able to make models available directly from PVCs instead of object stores. This may be desirable if you have a lot of very large files and you want to avoid uploading/downloading, for example through NFS drives.

diff --git a/doc/source/tutorials/blogs.rst b/doc/source/tutorials/blogs.rst
@@ -9,7 +9,6 @@ Blog articles featuring different use cases of Seldon:
 
    Stream-Based Model Serving with Cloudflow and Seldon <https://www.lightbend.com/blog/stream-based-model-serving-with-cloudflow-and-seldon>
    Seldon Inference Graph: Serving your Models in a Pipeline <https://medium.com/@shirish.ph/seldon-inference-graph-pipelined-model-serving-211c6b095f62>
-   Open Source Model Management Roundup <https://www.anaconda.com/blog/developer-blog/open-source-model-management-roundup-polyaxon-argo-and-seldon/>
    Polyaxon, Argo and Seldon for model training <https://danielfrg.com/blog/2018/10/model-management-polyaxon-argo-seldon/>
    Manage ML Deployments Like A Boss <https://medium.com/analytics-vidhya/manage-ml-deployments-like-a-boss-deploy-your-first-ab-test-with-sklearn-kubernetes-and-b10ae0819dfe>
    Using PyTorch 1.0 and ONNX with Fabric for Deep Learning <https://developer.ibm.com/blogs/2018/10/01/announcing-pytorch-1-support-in-fabric-for-deep-learning/>