安裝seldon

2021 iThome 鐵人賽

DAY 14

AI & Data

AI平台初學者工作坊: 從training、tracking到serving系列第 14 篇

13th鐵人賽

mason1762

2021-09-27 09:41:37

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上一篇, 我們已使用 xgboost 完成訓練並且產生model檔, 這個model的檔名為bst_save_model.pkl

現在我們來到了第二個範例的第三個步驟:serving, 如下圖所示.

這次我們要使用seldon部署我們的模型. Seldon是最近很熱門的model部署工具, 它建立在kubernetes平台上, 也因為我們在第二天就已經安裝好一個K8s cluster, 所以要安裝seldon core是一件很方便的事.
Seldon core的官網在這裡: https://www.seldon.io/tech/products/core/

首先, 我們來安裝istio, 因為我們在安裝seldon時會啟用istio.

安裝istio

下載istio

$curl -L https://istio.io/downloadIstio | sh -

設定PATH

$cd istio-1.11.1  #版本號要根據下載的版本做修改
$export PATH=$PWD/bin:$PATH

開始安裝

$kubectl create namespace istio-system
$helm install istio-base manifests/charts/base -n istio-system
$helm install istiod manifests/charts/istio-control/istio-discovery -n istio-system
$helm install istio-ingress manifests/charts/gateways/istio-ingress -n istio-system
$helm install istio-egress manifests/charts/gateways/istio-egress -n istio-system

建立seldon GATEWAY

apiVersion: networking.istio.io/v1alpha3
kind: Gateway
metadata:
  name: seldon-gateway
  namespace: istio-system
spec:
  selector:
    istio: ingressgateway # use istio default controller
  servers:
  - port:
      number: 80
      name: http
      protocol: HTTP
    hosts:
    - "*"

安裝seldon

建立seldon所使用的namespace
```
kubectl create namespace seldon-system
```

執行helm指令安裝seldon
ps: 我們在Day4 安裝JupyterHub 已安裝過hlem

helm install seldon-core seldon-core-operator \
  --repo https://storage.googleapis.com/seldon-charts \
  --set usageMetrics.enabled=true \
  --namespace seldon-system \
  --set istio.enabled=true \
  --set istio.gateway=istio-system/seldon-gateway

執行完成的訊息如下:

index.go:339: skipping loading invalid entry for chart "seldon-core-crd" "0.1.5a" from https://storage.googleapis.com/seldon-charts: validation: chart.metadata.version "0.1.5a" is invalid
index.go:339: skipping loading invalid entry for chart "seldon-core-crd" "0.1.6_SNAPSHOT" from https://storage.googleapis.com/seldon-charts: validation: chart.metadata.version "0.1.6_SNAPSHOT" is invalid
index.go:339: skipping loading invalid entry for chart "seldon-core-crd" "0.1.6_SNAPSHOT" from https://storage.googleapis.com/seldon-charts: validation: chart.metadata.version "0.1.6_SNAPSHOT" is invalid
index.go:339: skipping loading invalid entry for chart "seldon-core" "0.1.6_SNAPSHOT" from https://storage.googleapis.com/seldon-charts: validation: chart.metadata.version "0.1.6_SNAPSHOT" is invalid
index.go:339: skipping loading invalid entry for chart "seldon-core" "0.1.6_SNAPSHOT" from /home/k8s/.cache/helm/repository/E3xhv-3+r1pSeDV8I8nqHo7tIjk=-index.yaml: validation: chart.metadata.version "0.1.6_SNAPSHOT" is invalid
index.go:339: skipping loading invalid entry for chart "seldon-core-crd" "0.1.5a" from /home/k8s/.cache/helm/repository/E3xhv-3+r1pSeDV8I8nqHo7tIjk=-index.yaml: validation: chart.metadata.version "0.1.5a" is invalid
index.go:339: skipping loading invalid entry for chart "seldon-core-crd" "0.1.6_SNAPSHOT" from /home/k8s/.cache/helm/repository/E3xhv-3+r1pSeDV8I8nqHo7tIjk=-index.yaml: validation: chart.metadata.version "0.1.6_SNAPSHOT" is invalid
index.go:339: skipping loading invalid entry for chart "seldon-core-crd" "0.1.6_SNAPSHOT" from /home/k8s/.cache/helm/repository/E3xhv-3+r1pSeDV8I8nqHo7tIjk=-index.yaml: validation: chart.metadata.version "0.1.6_SNAPSHOT" is invalid
W0913 11:51:43.488868   16657 warnings.go:70] rbac.authorization.k8s.io/v1beta1 ClusterRole is deprecated in v1.17+, unavailable in v1.22+; use rbac.authorization.k8s.io/v1 ClusterRole
W0913 11:51:43.506167   16657 warnings.go:70]   rbac.authorization.k8s.io/v1beta1 ClusterRoleBinding is deprecated in v1.17+, unavailable in v1.22+; use rbac.authorization.k8s.io/v1 ClusterRoleBinding
W0913 11:51:43.676157   16657 warnings.go:70] admissionregistration.k8s.io/v1beta1 ValidatingWebhookConfiguration is deprecated in v1.16+, unavailable in v1.22+; use admissionregistration.k8s.io/v1 ValidatingWebhookConfiguration
W0913 11:51:48.918777   16657 warnings.go:70] rbac.authorization.k8s.io/v1beta1 ClusterRole is deprecated in v1.17+, unavailable in v1.22+; use rbac.authorization.k8s.io/v1 ClusterRole
W0913 11:51:48.988508   16657 warnings.go:70] rbac.authorization.k8s.io/v1beta1 ClusterRoleBinding is deprecated in v1.17+, unavailable in v1.22+; use rbac.authorization.k8s.io/v1 ClusterRoleBinding
W0913 11:51:50.531620   16657 warnings.go:70] admissionregistration.k8s.io/v1beta1 ValidatingWebhookConfiguration is deprecated in v1.16+, unavailable in v1.22+; use admissionregistration.k8s.io/v1 ValidatingWebhookConfiguration
NAME: seldon-core
LAST DEPLOYED: Mon Sep 13 11:51:37 2021
NAMESPACE: seldon-system
STATUS: deployed
REVISION: 1
TEST SUITE: None
k8s@k8s-master:~/mlops$

準備pvc

因為使用seldon部署model時需要將model放在下列四種儲存空間的其中一種:

Google Cloud Storage (using gs://)
S3-compatible (using s3://)
Minio-compatible (using s3://)
Azure Blob storage (using https://(.+?).blob.core.windows.net/(.+))

除了上述4個環境, 還可以使用pvc, 在這個網頁有一行這麼寫
A Kubernetes PersistentVolume can be used instead of a bucket using pvc://.

我們先使用pvc空間做一次, 之後再使用MinIO做一次.
而且在我們的K8s環境中原本就有一個NFS空間, 之前是讓JupyterHub使用, 現在我們就再使用NFS空間建立pvc放置要部署在seldon上的模型檔案.

請撰寫下列yaml內容. 請注意, 這個的storageClassName必需是已經存在的名稱, 因為我們在安裝JupyterHub就建立過storage class, 名稱即是nfs-client. 如果你沒有這個storage class, 那你要先建立一個.

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: seldon-pv-claim
spec:
  storageClassName: nfs-client
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 3Gi

將這個yaml檔存為seldon-pvc.yaml
所以執行下列指令, 這樣我們就準備好所需要的空間.