kubernetes.md

Use with Kubernetes

Example:

 terraformer import kubernetes --resources=deployments,services,storageclasses
 terraformer import kubernetes --resources=deployments,services,storageclasses --filter=deployment=name1:name2:name3

All Kubernetes resources that are currently supported by the Kubernetes provider, are also supported by this module. Here is the list of resources which are currently supported by Kubernetes provider v.1.4:

• clusterrolebinding
  • kubernetes_cluster_role_binding
• configmaps
  • kubernetes_config_map
• deployments
  • kubernetes_deployment
• horizontalpodautoscalers
  • kubernetes_horizontal_pod_autoscaler
• limitranges
  • kubernetes_limit_range
• namespaces
  • kubernetes_namespace
• persistentvolumes
  • kubernetes_persistent_volume
• persistentvolumeclaims
  • kubernetes_persistent_volume_claim
• pods
  • kubernetes_pod
• replicationcontrollers
  • kubernetes_replication_controller
• resourcequotas
  • kubernetes_resource_quota
• secrets
  • kubernetes_secret
• services
  • kubernetes_service
• serviceaccounts
  • kubernetes_service_account
• statefulsets
  • kubernetes_stateful_set
• storageclasses
  • kubernetes_storage_class

Known issues

• Terraform Kubernetes provider is rejecting resources with ":" characters in their names (as they don't meet DNS-1123), while it's allowed for certain types in Kubernetes, e.g. ClusterRoleBinding.
• Because Terraform flatmap uses "." to detect the keys for unflattening the maps, some keys with "." in their names are being considered as the maps.
• Since the library assumes empty strings to be empty values (not "0"), there are some issues with optional integer keys that are restricted to be positive.