Bitbucket Linode Kubernetes Pipeline

bitbucket-pipelines.yml

# This is a sample build configuration for Python.
# Check our guides at https://confluence.atlassian.com/x/x4UWN for more examples.
# Only use spaces to indent your .yml configuration.
# -----
# You can specify a custom docker image from Docker Hub as your build environment.
definitions:
  services:
    docker:
      memory: 4096

pipelines:
  branches:
     master:
      # - step:
      #     name: Test
      #     script:
      #       - npm install
      #       - npm test

      - step:          
          name: Build
          size: 2x
          script:
            - export IMAGE_NAME=$DOCKERHUB_USERNAME/$APPLICATION_NAME:$BITBUCKET_COMMIT
            # build the Docker image (this will use the Dockerfile in the root of the repo)
            - docker build -t $IMAGE_NAME .
            # authenticate with the Docker Hub registry
            - docker login --username $DOCKERHUB_USERNAME --password $DOCKERHUB_TOKEN
            # push the new Docker image to the Docker registry
            - docker push $IMAGE_NAME
            - export DOCKER_CONFIG=$(cat ~/.docker/config.json | base64 -w 0)
            - echo "$DOCKER_CONFIG" > config.txt
            - echo "$IMAGE_NAME" > image_name.txt
          services:
            - docker
          artifacts:
            - config.txt
            - image_name.txt            
      - step:
          name: Deploy
          size: 2x
          deployment: production
          script:
            - DOCKER_CONFIG=$(cat ./config.txt)
            - IMAGE_NAME=$(cat ./image_name.txt)            
            - |
                sed -i -e "s|DOCKER_HUB_USERNAME|$DOCKER_HUB_USERNAME|g" \
                -e "s|IMAGE_NAME|$IMAGE_NAME|g" \
                -e "s|APPLICATION_NAME|$APPLICATION_NAME|g" \
                -e "s|BITBUCKET_COMMIT|$BITBUCKET_COMMIT|g" \
                -e "s|JWT_TOKEN_SECRET_VAL|$JWT_TOKEN_SECRET|g" \
                -e "s|JWT_TOKEN_SECRET_API_VAL|$JWT_TOKEN_SECRET_API|g" \
                -e "s|MONGO_URL_VAL|$MONGO_URL|g" \
                -e "s|MONGO_URL_DEFI_VAL|$MONGO_URL_DEFI|g" \              
                -e "s|DOCKER_CONFIG|$DOCKER_CONFIG|g" k8s.yaml                
            - echo $KUBE_CONFIG | base64 -d > kubeconfig.yml                
            - pipe: atlassian/kubectl-run:3.4.0
              variables:
                KUBE_CONFIG: $KUBE_CONFIG
                KUBECTL_COMMAND: "apply"
                RESOURCE_PATH: 'k8s.yaml'