michaelfangtw / myazurevision

myazurevision

 a asp.net core 6.0 project using azure vision api to detect images tag
 appengine/* deploy to gcp appengine
 k8s/*       depoly to gcp kubernates

appengine

Step 1

install gcloud sdk

Step2

edit app.yaml

runtime: aspnetcore
env: flex
service: app-azure-vision-service

runtime_config:
  operating_system: ubuntu22

# This sample incurs costs to run on the App Engine flexible environment. 
# The settings below are to reduce costs during testing and are not appropriate
# for production use. For more information, see:
# https://cloud.google.com/appengine/docs/flexible/dotnet/configuring-your-app-with-app-yaml
manual_scaling:
  instances: 1
resources:
  cpu: 1
  memory_gb: 0.5
  disk_size_gb: 10

env_variables:
  azure_api_key: 'YOUR_AZURE_API_KEY'
  azure_api_endpoint: 'YOUR_AZURE_ENDPOINT'

step 3

gcloud config set project xxxxx
# deploy service : app-azure-vision-service
gcloud app deploy --version=v1

---

k8s

Step 1: publish

publish dotnet core project and copy pubish folder to k8s/MyAzureVision/publish

Step 2: Dockerfile

FROM mcr.microsoft.com/dotnet/aspnet:6.0 AS runtime
WORKDIR /app
COPY publish/ ./
EXPOSE 8080/tcp 
ENV ASPNETCORE_URLS http://*:8080
ENTRYPOINT ["dotnet", "MyAzureVision.dll"]

step3. create secret

kubectl create secret generic azuresecret --from-literal=azure_api_key=xxx --from-literal=azure_api_endpoint=https://xxxxx.cognitiveservices.azure.com/

step4. deploy to GKE

#get credentials
gcloud container clusters get-credentials my-cluster --zone us-central1-c --project  my-kubernates-xxxx

#set your prject
gcloud config set project my-kubernates-398208

#build your images
docker build -t michaelfangtw/myazurevision:1.0 .

#push your images to docker hub
docker push michaelfangtw/myazurevision:1.0
kubectl delete deployment myazurevision  

#k8s deploy workloads from docker hub registry 
kubectl create deployment myazurevision  --image=michaelfangtw/myazurevision:1.0

#export workloads to public ip / port
kubectl delete service myazurevision
kubectl expose deployment myazurevision --type=LoadBalancer --port=80 --target-port=8080
kubectl get svc --watch

Step5. modify myazurevision.yaml to mapping secret value to enviorment variables

      containers:
        - env:
            - name: azure_api_key
              valueFrom:
                secretKeyRef:
                  name: azuresecret
                  key: azure_api_key
            - name: azure_api_endpoint
              valueFrom:
                secretKeyRef:
                  name: azuresecret
                  key: azure_api_endpoint
          image: michaelfangtw/myazurevision:1.0