Installation instructions

kubectl create secret docker-registry timefold-ghcr --docker-server=ghcr.io --docker-username=sa --docker-password={YOUR_TIMEFOLD_TOKEN} --dry-run=client --output="jsonpath={.data.\.dockerconfigjson}"

#####
##### Installation values for Amazon Web Services (EKS) based environment
##### 

# number of active replicas of the main component of the platform
#replicaCount: 1

license: YOUR_ORBIT_LICENSE

ingress:
  host: YOUR_HOST_NAME
  tls:
    # select one of the below options
    # 1) in case cert manager is not available or cannot be used, provide certificate and private key
    #cert:
    #key:
    # 2) if cert manager is installed and lets encrypt can be used
    certManager:
      enabled: true
      issuer: "letsencrypt-prod"
      acmeEmail: YOUR_ADMINISTRATOR_EMAIL_ADDRESS

oauth:
  certs: YOUR_OIDC_PROVIDER_CERTS_URL
  issuer: YOUR_OIDC_PROVIDER_ISSUER_URL
  emailDomain: YOUR_ORG_EMAIL_DOMAIN
  clientId: YOUR_CLIENT_ID
  # generated cookie secret with following command
  # dd if=/dev/urandom bs=32 count=1 2>/dev/null | base64 | tr -d -- '\n' | tr -- '+/' '-_'; echo
  cookieSecret: YOUR_COOKIE_SECRET

secrets:
  data:
    awsAccessKey: YOUR_AWS_ACCESS_KEY
    awsAccessSecret: YOUR_AWS_ACCESS_SECRET

# administrators of the platform      
admins: |
#  [email protected]


storage:
  remote:
    # specify custom name for configuration bucket, can be company name with timefold-configuration suffix or domain name
    name: YOUR_CUSTOM_NAME_FOR_CONFIG_BUCKET
    # specify retention of data in the platform expressed in days, data will be automatically removed
    #expiration: 7  
    type: s3
    #s3:
    #  region: us-east-1

#models:
  # maximum amount of time solver will spend before termination
#  terminationSpentLimit: PT30M
  # maximum allowed limit for user-supplied termination spentLimit. Safety net to prevent long-running jobs
#  terminationMaximumSpentLimit: PT60M
  # if the score has not improved during this period, terminate the solver
#  terminationUnimprovedSpentLimit: PT5M
  # maximum allowed limit for user-supplied termination unimprovedSpentLimit. Safety net to prevent long-running jobs
#  terminationMaximumUnimprovedSpentLimit: PT5M
   # duration to keep the runtime after solving has finished
#  runtimeTimeToLive: PT1M
   # duration to keep the runtime without solving since last request
#  idleRuntimeTimeToLive: PT30M
   # IMPORTANT: when setting resources, all must be set
#  resources:
#    limits:
      # max CPU allowed for the platform to be used
#      cpu: 1
      # max memory allowed for the platform to be used
#      memory: 512Mi
#    requests:
      # guaranteed CPU for the platform to be used
#     cpu: 1
      # guaranteed memory for the platform to be used
#      memory: 512Mi

#maps:
#  enabled: true
  # number of active replicas of the maps service - when set to more than 1, maps.scalable property must be set to true
#  replicaCount: 1
#  cache:
#    TTL: P7D
#    cleaningInterval: PT1H
#    persistentVolume:
#      storageClassName: "gp2"
#      accessMode: "ReadWriteOnce"
#      size: "8Gi"
#  osrm:
#    options: "--max-table-size 10000"
#    locations:
#      - region: us-southern-california
#        maxLocationsInRequest: 10000
#      - region: us-georgia
#        maxLocationsInRequest: 10000
#    externalLocationsUrl:
#      customModel: "http://localhost:5000"
#    retry:
#      maxDurationMinutes: 60
#    autoscaling:
#      enabled: true
#      minReplicas: 1
#      maxReplicas: 2
#      cpuAverageUtilization: 110
#  externalProvider: "http://localhost:5000"


#insights:
  # number of active replicas of the insights service
#  replicaCount: 1

#solver:
#  maxThreadCount: 8 # Set the maximum thread count for each job in the platform

# Set notifications timeout
#notifications:
#  webhook:
#    readTimeout: PT5S # Default is 5 seconds
#    connectTimeout: PT5S # Default is 5 seconds

# number of active replicas of the main component of the platform
replicaCount: 1
# number of active replicas of the insights service
insights:
  replicaCount: 1
# number of active replicas of the maps service - when set to more than 1, maps.scalable property must be set to true
maps:
  replicaCount: 1

helm registry login ghcr.io/timefoldai

helm upgrade --install --atomic --namespace $NAMESPACE timefold-orbit oci://ghcr.io/timefoldai/timefold-orbit-platform  \
        -f orbit-values.yaml \
        --create-namespace \
        --set namespace=$NAMESPACE \
        --set oauth.clientSecret="$OAUTH_CLIENT_SECRET" \
        --set image.registry.auth="$TOKEN" \
        --set license="$LICENSE" \
        --set secrets.data.awsAccessKey="$AWS_ACCESS_KEY" \
        --set secrets.data.awsAccessSecret="$AWS_ACCESS_SECRET"

#####
##### Installation values for Google Cloud Platform (GKE) based environment
##### 

# number of active replicas of the main component of the platform
#replicaCount: 1

license: YOUR_ORBIT_LICENSE

ingress:
  host: YOUR_HOST_NAME
  tls:
    # select one of the below options
    # 1) in case cert manager is not available or cannot be used, provide certificate and private key
    #cert:
    #key:
    # 2) if cert manager is installed and lets encrypt can be used
    certManager:
      enabled: true
      issuer: "letsencrypt-prod"
      acmeEmail: YOUR_ADMINISTRATOR_EMAIL_ADDRESS

oauth:
  certs: YOUR_OIDC_PROVIDER_CERTS_URL
  issuer: YOUR_OIDC_PROVIDER_ISSUER_URL
  emailDomain: YOUR_ORG_EMAIL_DOMAIN
  clientId: YOUR_CLIENT_ID
  # generated cookie secret with following command
  # dd if=/dev/urandom bs=32 count=1 2>/dev/null | base64 | tr -d -- '\n' | tr -- '+/' '-_'; echo
  cookieSecret: YOUR_COOKIE_SECRET

secrets:
  stringData:
    serviceAccountKey: YOUR_GOOGLE_STORAGE_SERVICE_ACCOUNT_KEY
    projectId: YOUR_GOOGLE_CLOUD_PROJECT_ID

# administrators of the platform
admins: |
#  [email protected]

storage:
  remote:
    # specify custom name for configuration bucket, can be google project id with timefold-configuration suffix or domain name
    name: YOUR_CUSTOM_NAME_FOR_CONFIG_BUCKET
    # specify retention of data in the platform expressed in days, data will be automatically removed
    #expiration: 7
    type: googlecloud

#models:
  # maximum amount of time solver will spend before termination
#  terminationSpentLimit: PT30M
  # maximum allowed limit for user-supplied termination spentLimit. Safety net to prevent long-running jobs
#  terminationMaximumSpentLimit: PT60M
  # if the score has not improved during this period, terminate the solver
#  terminationUnimprovedSpentLimit: PT5M
  # maximum allowed limit for user-supplied termination unimprovedSpentLimit. Safety net to prevent long-running jobs
#  terminationMaximumUnimprovedSpentLimit: PT5M
   # duration to keep the runtime after solving has finished
#  runtimeTimeToLive: PT1M
   # duration to keep the runtime without solving since last request
#  idleRuntimeTimeToLive: PT30M
   # IMPORTANT: when setting resources, all must be set
#  resources:
#    limits:
      # max CPU allowed for the platform to be used
#      cpu: 1
      # max memory allowed for the platform to be used
#      memory: 512Mi
#    requests:
      # guaranteed CPU for the platform to be used
#     cpu: 1
      # guaranteed memory for the platform to be used
#      memory: 512Mi

#maps:
#  enabled: true
  # number of active replicas of the maps service - when set to more than 1, maps.scalable property must be set to true
#  replicaCount: 1
#  cache:
#    TTL: P7D
#    cleaningInterval: PT1H
#    persistentVolume:
#      storageClassName: "standard"
#      accessMode: "ReadWriteOnce"
#      size: "8Gi"
#  osrm:
#    options: "--max-table-size 10000"
#    locations:
#      - region: us-southern-california
#        maxLocationsInRequest: 10000
#      - region: us-georgia
#        maxLocationsInRequest: 10000
#    externalLocationsUrl:
#      customModel: "http://localhost:5000"
#    retry:
#      maxDurationMinutes: 60
#    autoscaling:
#      enabled: true
#      minReplicas: 1
#      maxReplicas: 2
#      cpuAverageUtilization: 110
#  externalProvider: "http://localhost:5000"

#insights:
  # number of active replicas of the insights service
#  replicaCount: 1

#solver:
#  maxThreadCount: 8 # Set the maximum thread count for each job in the platform

# Set notifications timeout
#notifications:
#  webhook:
#    readTimeout: PT5S # Default is 5 seconds
#    connectTimeout: PT5S # Default is 5 seconds

# number of active replicas of the main component of the platform
replicaCount: 1
# number of active replicas of the insights service
insights:
  replicaCount: 1
# number of active replicas of the maps service - when set to more than 1, maps.scalable property must be set to true
maps:
  replicaCount: 1

helm registry login ghcr.io/timefoldai

helm upgrade --install --atomic --namespace $NAMESPACE timefold-orbit oci://ghcr.io/timefoldai/timefold-orbit-platform  \
        -f orbit-values.yaml \
        --create-namespace \
        --set namespace=$NAMESPACE \
        --set oauth.clientSecret="$OAUTH_CLIENT_SECRET" \
        --set image.registry.auth="$TOKEN" \
        --set license="$LICENSE" \
        --set secrets.stringData.serviceAccountKey="$GCS_SERVICE_ACCOUNT" \
        --set secrets.stringData.projectId="$GCP_PROJECT_ID"

#####
##### Installation values for Azure (AKS) based environment
##### 

# number of active replicas of the main component of the platform
#replicaCount: 1

license: YOUR_ORBIT_LICENSE

ingress:
  host: YOUR_HOST_NAME
  tls:
    # select one of the below options
    # 1) in case cert manager is not available or cannot be used, provide certificate and private key
    #cert:
    #key:
    # 2) if cert manager is installed and lets encrypt can be used
    certManager:
      enabled: true
      issuer: "letsencrypt-prod"
      acmeEmail: YOUR_ADMINISTRATOR_EMAIL_ADDRESS

oauth:
  certs: YOUR_OIDC_PROVIDER_CERTS_URL
  issuer: YOUR_OIDC_PROVIDER_ISSUER_URL
  emailDomain: YOUR_ORG_EMAIL_DOMAIN
  clientId: YOUR_CLIENT_ID
  # generated cookie secret with following command
  # dd if=/dev/urandom bs=32 count=1 2>/dev/null | base64 | tr -d -- '\n' | tr -- '+/' '-_'; echo
  cookieSecret: YOUR_COOKIE_SECRET

secrets:
  data:
    azureStoreConnectionString: YOUR_AZURE_BLOB_STORE_CONNECTION_STRING

# administrators of the platform      
admins: |
#  [email protected]


storage:
  remote:
   # specify custom name for configuration bucket, can be company name with timefold-configuration suffix or domain name
    name: YOUR_CUSTOM_NAME_FOR_CONFIG_BUCKET  
    type: azure

#models:
  # maximum amount of time solver will spend before termination
#  terminationSpentLimit: PT30M
  # maximum allowed limit for user-supplied termination spentLimit. Safety net to prevent long-running jobs
#  terminationMaximumSpentLimit: PT60M
  # if the score has not improved during this period, terminate the solver
#  terminationUnimprovedSpentLimit: PT5M
  # maximum allowed limit for user-supplied termination unimprovedSpentLimit. Safety net to prevent long-running jobs
#  terminationMaximumUnimprovedSpentLimit: PT5M
# duration to keep the runtime after solving has finished
#  runtimeTimeToLive: PT1M
   # duration to keep the runtime without solving since last request
#  idleRuntimeTimeToLive: PT30M
   # IMPORTANT: when setting resources, all must be set
#  resources:
#    limits:
      # max CPU allowed for the platform to be used
#      cpu: 1
      # max memory allowed for the platform to be used
#      memory: 512Mi
#    requests:
      # guaranteed CPU for the platform to be used
#     cpu: 1
      # guaranteed memory for the platform to be used
#      memory: 512Mi

#maps:
#  enabled: true
  # number of active replicas of the maps service - when set to more than 1, maps.scalable property must be set to true
#  replicaCount: 1
#  cache:
#    TTL: P7D
#    cleaningInterval: PT1H
#    persistentVolume:
#      storageClassName: "Standard_LRS"
#      accessMode: "ReadWriteOnce"
#      size: "8Gi"
#  osrm:
#    options: "--max-table-size 10000"
#    locations:
#      - region: us-southern-california
#        maxLocationsInRequest: 10000
#      - region: us-georgia
#        maxLocationsInRequest: 10000
#    externalLocationsUrl:
#      customModel: "http://localhost:5000"
#    retry:
#      maxDurationMinutes: 60
#    autoscaling:
#      enabled: true
#      minReplicas: 1
#      maxReplicas: 2
#      cpuAverageUtilization: 110
#  externalProvider: "http://localhost:5000"

#insights:
  # number of active replicas of the insights service
#  replicaCount: 1

#solver:
#  maxThreadCount: 8 # Set the maximum thread count for each job in the platform

# Set notifications timeout
#notifications:
#  webhook:
#    readTimeout: PT5S # Default is 5 seconds
#    connectTimeout: PT5S # Default is 5 seconds

# number of active replicas of the main component of the platform
replicaCount: 1
# number of active replicas of the insights service
insights:
  replicaCount: 1
# number of active replicas of the maps service - when set to more than 1, maps.scalable property must be set to true
maps:
  replicaCount: 1

helm registry login ghcr.io/timefoldai

helm upgrade --install --atomic --namespace $NAMESPACE timefold-orbit oci://ghcr.io/timefoldai/timefold-orbit-platform  \
        -f orbit-values.yaml \
        --create-namespace \
        --set namespace=$NAMESPACE \
        --set oauth.clientSecret="$OAUTH_CLIENT_SECRET" \
        --set image.registry.auth="$TOKEN" \
        --set license="$LICENSE" \
        --set secrets.data.azureStoreConnectionString="$AZ_CONNECTION_STRING"

helm upgrade --install --atomic --namespace $NAMESPACE timefold-orbit oci://ghcr.io/timefoldai/timefold-orbit-platform  \
        -f orbit-values.yaml \
        --create-namespace \
        --set namespace=$NAMESPACE \
        --set oauth.clientSecret="$OAUTH_CLIENT_SECRET" \
        --set image.registry.auth="$TOKEN" \
        --set license="$LICENSE" \
        --set secrets.data.awsAccessKey="$AWS_ACCESS_KEY" \
        --set secrets.data.awsAccessSecret="$AWS_ACCESS_SECRET"

helm upgrade --install --atomic --namespace $NAMESPACE timefold-orbit oci://ghcr.io/timefoldai/timefold-orbit-platform  \
        -f orbit-values.yaml \
        --create-namespace \
        --set namespace=$NAMESPACE \
        --set oauth.clientSecret="$OAUTH_CLIENT_SECRET" \
        --set image.registry.auth="$TOKEN" \
        --set license="$LICENSE" \
        --set secrets.stringData.serviceAccountKey="$GCS_SERVICE_ACCOUNT" \
        --set secrets.stringData.projectId="$GCP_PROJECT_ID"

helm upgrade --install --atomic --namespace $NAMESPACE timefold-orbit oci://ghcr.io/timefoldai/timefold-orbit-platform  \
        -f orbit-values.yaml \
        --create-namespace \
        --set namespace=$NAMESPACE \
        --set oauth.clientSecret="$OAUTH_CLIENT_SECRET" \
        --set image.registry.auth="$TOKEN" \
        --set license="$LICENSE" \
        --set secrets.data.azureStoreConnectionString="$AZ_CONNECTION_STRING"