templates:
  sidecar: |-
    spec:
      initContainers:
      - name: istio-init
        image: docker.io/istio/proxy_init:unittest-{{.Values.global.suffix}}
      containers:
      - name: istio-proxy

spec:
  initContainers:
  - name: istio-init
    image: docker.io/istio/proxy_init:unittest-{{.Values.global.suffix}}
  containers:
  - name: istio-proxy

# To run locally an OpenLDAP instance using Docker
# $ docker-compose -f ldap.yaml up -d
version: '3.7'

services:
  openldap:
    image: quay.io/minio/openldap
    ports:
      - "389:389"
      - "636:636"
    environment:
      LDAP_ORGANIZATION: "MinIO Inc"
      LDAP_DOMAIN: "min.io"

    # ImagePullSecrets for control plane ServiceAccount, list of secrets in the same namespace
    # to use for pulling any images in pods that reference this ServiceAccount.
    # Must be set for any cluster configured with private docker registry.
    imagePullSecrets: []

    # Used to locate istiod.
    istioNamespace: istio-system

    externalIstiod: false
    remotePilotAddress: ""

        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
      - uses: docker://tiangolo/latest-changes:0.3.0
      # - uses: tiangolo/latest-changes@main
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          latest_changes_file: docs/en/docs/release-notes.md

    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:

    title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker
  - author: Mandy Gu
    author_link: https://towardsdatascience.com/@mandygu
    link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a
    title: 'Towards Data Science: Deploying Iris Classifications with FastAPI and Docker'
  - author: Michael Herman

    # This directory must exist on the node, if it does not, consult your container runtime
    # documentation for the appropriate path.
    cniNetnsDir: # Defaults to '/var/run/netns', in minikube/docker/others can be '/var/run/docker/netns'.


    excludeNamespaces:
      - kube-system

    # Allows user to set custom affinity for the DaemonSet
    affinity: {}

    # Custom annotations on pod level, if you need them

author: "Sebastián Ramírez <******@****.***>"
inputs:
  token:
    description: 'Token, to read the GitHub API. Can be passed in using {{ secrets.GITHUB_TOKEN }}'
    required: true
runs:
  using: 'docker'

      labels:
        app: hello
        tier: backend
        track: stable
    spec:
      containers:
        - name: hello
          image: "fake.docker.io/google-samples/hello-go-gke:1.0"
          ports:
            - name: http