Kubernetes deployment for the Global Azure Bootcamp 2019 Science Lab

README.md

Kubernetes deployment for the Global Azure Bootcamp 2019 Science Lab

This deployment file will attempt to deploy 3 replicas of the container used in the Global Azure Bootcamp 2019 Science Lab.

Just run:

kubectl apply -f ./gab-2019-science-lab.yaml

Please remember to replace the values in the file and note that, if you want to run more replicas, the container has some agressive cpu and memory requirement that you should consider. Otherwise you will end up with pods in pending state.

gab-2019-science-lab.yaml

apiVersion: apps/v1beta1
kind: Deployment
metadata:
  name: gab-2019-science-lab
spec:
  replicas: 3
  template:
    metadata:
      labels:
        app: gab-2019-science-lab
    spec:
      containers:
      - name: sciencelab2019
        image: globalazurebootcamp/sciencelab2019:latest
        env:
        - name: BatchClient__Email
          value: "<your email here>"
        - name: BatchClient__Fullname
          value: "<your fullname here>"
        - name: BatchClient__TeamName
          value: "<your team name here>"
        - name: BatchClient__CompanyName
          value: "<your company here>"
        - name: BatchClient__CountryCode
          value: "<your country code here>"
        - name: BatchClient__LabKeyCode
          value: "<your lab key code here>"
        resources:
          limits:
            cpu: "1.5"
            memory: 2Gi
          requests:
            cpu: 1
            memory: "1.5Gi"
        ports:
        - containerPort: 80

---
apiVersion: v1
kind: Service
metadata:
  name: gab-2019-science-lab
spec:
  type: LoadBalancer
  ports:
  - name:
    port: 80
    targetPort: 80
  selector:
    app: gab-2019-science-lab