Implementation containerized VNF in Kubernetes type

This spec proposes implementing containerized VNF. We choose
to use Kubernetes resources (ConfigMap, Deployment, Horizontal
Pod Autoscaler, Service, etc) to define a containerized VNF.

1. Add "configurable_properties" type in VDU node.
2. Support translate TOSCA to Kubernetes templates.
3. Add kubernetes infra driver to support CRUD containerized
VNF.
Implements: blueprint containerised-vnfs

Change-Id: I706f1f325ca8c2b33debd7e6a13e81535245a5ad

etc/config-generator.conf

@@ -6,10 +6,12 @@ namespace = tacker.wsgi
 namespace = tacker.service
 namespace = tacker.nfvo.nfvo_plugin
 namespace = tacker.nfvo.drivers.vim.openstack_driver
+namespace = tacker.nfvo.drivers.vim.kubernetes_driver
 namespace = tacker.keymgr
 namespace = tacker.vnfm.monitor
 namespace = tacker.vnfm.plugin
 namespace = tacker.vnfm.infra_drivers.openstack.openstack
+namespace = tacker.vnfm.infra_drivers.kubernetes.kubernetes
 namespace = tacker.vnfm.mgmt_drivers.openwrt.openwrt
 namespace = tacker.vnfm.monitor_drivers.http_ping.http_ping
 namespace = tacker.vnfm.monitor_drivers.ping.ping

samples/tosca-templates/vnfd/tosca-vnfd-containerized-two-containers.yaml

@@ -0,0 +1,37 @@
+tosca_definitions_version: tosca_simple_profile_for_nfv_1_0_0
+description: A sample containerized VNF with two containers per VDU
+
+metadata:
+    template_name: sample-tosca-vnfd
+
+topology_template:
+  node_templates:
+    VDU1:
+      type: tosca.nodes.nfv.VDU.Tacker
+      properties:
+        namespace: default
+        mapping_ports:
+          - "80:80"
+          - "88:88"
+        service_type: NodePort
+        vnfcs:
+          front_end:
+            num_cpus: 0.5
+            mem_size: 512 MB
+            image: nginx
+            ports:
+              - "80"
+          rss_reader:
+            num_cpus: 0.5
+            mem_size: 512 MB
+            image: nickchase/rss-php-nginx:v1
+            ports:
+              - "88"
+  policies:
+    - SP1:
+        type: tosca.policies.tacker.Scaling
+        targets: [VDU1]
+        properties:
+          min_instances: 1
+          max_instances: 3
+          target_cpu_utilization_percentage: 40

samples/tosca-templates/vnfd/tosca-vnfd-containerized.yaml

@@ -0,0 +1,36 @@
+tosca_definitions_version: tosca_simple_profile_for_nfv_1_0_0
+description: A sample containerized VNF with one container per VDU
+
+metadata:
+    template_name: sample-tosca-vnfd
+
+topology_template:
+  node_templates:
+    VDU1:
+      type: tosca.nodes.nfv.VDU.Tacker
+      properties:
+        namespace: default
+        mapping_ports:
+          - "80:80"
+        labels:
+          - "app: webserver"
+        service_type: ClusterIP
+        vnfcs:
+          web_server:
+            num_cpus: 0.2
+            mem_size: 100 MB
+            image: k8s.gcr.io/hpa-example
+            ports:
+              - "80"
+            config: |
+              param0: key1
+              param1: key2
+
+  policies:
+    - SP1:
+        type: tosca.policies.tacker.Scaling
+        targets: [VDU1]
+        properties:
+          min_instances: 1
+          max_instances: 10
+          target_cpu_utilization_percentage: 50

setup.cfg

@@ -53,6 +53,7 @@ tacker.openstack.common.cache.backends =
 tacker.tacker.vnfm.drivers =
     noop = tacker.vnfm.infra_drivers.noop:DeviceNoop
     openstack = tacker.vnfm.infra_drivers.openstack.openstack:OpenStack
+    kubernetes = tacker.vnfm.infra_drivers.kubernetes.kubernetes_driver:Kubernetes
 tacker.tacker.mgmt.drivers =
     noop = tacker.vnfm.mgmt_drivers.noop:DeviceMgmtNoop
     openwrt = tacker.vnfm.mgmt_drivers.openwrt.openwrt:DeviceMgmtOpenWRT
@@ -79,6 +80,7 @@ oslo.config.opts =
     tacker.vnfm.monitor = tacker.vnfm.monitor:config_opts
     tacker.vnfm.plugin = tacker.vnfm.plugin:config_opts
     tacker.vnfm.infra_drivers.openstack.openstack= tacker.vnfm.infra_drivers.openstack.openstack:config_opts
+    tacker.vnfm.infra_drivers.kubernetes.kubernetes_driver = tacker.vnfm.infra_drivers.kubernetes.kubernetes_driver:config_opts
     tacker.vnfm.mgmt_drivers.openwrt.openwrt = tacker.vnfm.mgmt_drivers.openwrt.openwrt:config_opts
     tacker.vnfm.monitor_drivers.http_ping.http_ping = tacker.vnfm.monitor_drivers.http_ping.http_ping:config_opts
     tacker.vnfm.monitor_drivers.ping.ping = tacker.vnfm.monitor_drivers.ping.ping:config_opts

tacker/common/container/kubernetes_utils.py

@@ -30,8 +30,8 @@ CONF = cfg.CONF
 
 class KubernetesHTTPAPI(object):
 
-    def get_k8sClient(self, auth_plugin):
-        config = client.ConfigurationObject()
+    def get_k8s_client(self, auth_plugin):
+        config = client.Configuration()
         config.host = auth_plugin['auth_url']
         if ('username' in auth_plugin) and ('password' in auth_plugin)\
                 and (auth_plugin['password'] is not None):
@@ -48,21 +48,25 @@ class KubernetesHTTPAPI(object):
             config.verify_ssl = True
         else:
             config.verify_ssl = False
-        k8s_client = api_client.ApiClient(config=config)
+        k8s_client = api_client.ApiClient(configuration=config)
         return k8s_client
 
-    def initialize_ExtensionApiClient(self, auth):
-        k8s_client = self.get_k8sClient(auth_plugin=auth)
+    def get_extension_api_client(self, auth):
+        k8s_client = self.get_k8s_client(auth_plugin=auth)
         return client.ExtensionsV1beta1Api(api_client=k8s_client)
 
-    def initialize_CoreApiV1Client(self, auth):
-        k8s_client = self.get_k8sClient(auth_plugin=auth)
+    def get_core_v1_api_client(self, auth):
+        k8s_client = self.get_k8s_client(auth_plugin=auth)
         return client.CoreV1Api(api_client=k8s_client)
 
-    def initialize_CoreApiClient(self, auth):
-        k8s_client = self.get_k8sClient(auth_plugin=auth)
+    def get_core_api_client(self, auth):
+        k8s_client = self.get_k8s_client(auth_plugin=auth)
         return client.CoreApi(api_client=k8s_client)
 
+    def get_scaling_api_client(self, auth):
+        k8s_client = self.get_k8s_client(auth_plugin=auth)
+        return client.AutoscalingV1Api(api_client=k8s_client)
+
     @staticmethod
     def create_ca_cert_tmp_file(ca_cert):
         file_descriptor, file_path = tempfile.mkstemp()

tacker/common/eventlet_utils.py

@@ -20,7 +20,7 @@ from oslo_utils import importutils
 
 
 def monkey_patch():
-    eventlet.monkey_patch()
+    eventlet.monkey_patch(all=False, socket=True)
     if os.name != 'nt':
         p_c_e = importutils.import_module('pyroute2.config.eventlet')
         p_c_e.eventlet_config()

tacker/extensions/vnfm.py

@@ -156,6 +156,18 @@ class InvalidParamsForSM(exceptions.InvalidInput):
     message = _("Please provide parameters for substitution mappings")
 
 
+class InvalidKubernetesScalingPolicyNumber(exceptions.InvalidInput):
+    message = _("Please provide only one Scaling policy")
+
+
+class InvalidKubernetesNetworkNumber(exceptions.InvalidInput):
+    message = _("Please provide one network for all vdus")
+
+
+class InvalidKubernetesInputParameter(exceptions.InvalidInput):
+    message = _("Found unsupported keys for %(found_keys)s ")
+
+
 def _validate_service_type_list(data, valid_values=None):
     if not isinstance(data, list):
         msg = _("invalid data format for service list: '%s'") % data

tacker/nfvo/drivers/vim/kubernetes_driver.py

@@ -86,11 +86,11 @@ class Kubernetes_Driver(abstract_vim_driver.VimAbstractDriver):
     def _validate_vim(self, auth, file_descriptor):
         # If Tacker can get k8s_info, Kubernetes authentication is valid
         # if not, it is invalid
+        auth_dict = dict(auth)
         try:
-            auth_dict = dict(auth)
-            k8s_coreClient = \
-                self.kubernetes.initialize_CoreApiClient(auth_dict)
-            k8s_info = k8s_coreClient.get_api_versions()
+            core_api_client = \
+                self.kubernetes.get_core_api_client(auth_dict)
+            k8s_info = core_api_client.get_api_versions()
             LOG.info(k8s_info)
         except Exception as e:
             LOG.info('VIM Kubernetes authentication is wrong.')
@@ -98,18 +98,8 @@ class Kubernetes_Driver(abstract_vim_driver.VimAbstractDriver):
             self.clean_authenticate_vim(auth_dict, file_descriptor)
             raise nfvo.VimUnauthorizedException(message=str(e))
 
-    def _initialize_k8s_extensionClient(self, auth):
-        k8s_extensionClient =\
-            self.kubernetes.initialize_ExtensionApiClient(auth)
-        return k8s_extensionClient
-
-    def _initialize_k8s_coreV1Client(self, auth):
-        k8s_coreV1Client =\
-            self.kubernetes.initialize_CoreApiV1Client(auth)
-        return k8s_coreV1Client
-
-    def _find_regions(self, k8s_coreV1Client):
-        list_namespaces = k8s_coreV1Client.list_namespace()
+    def _find_regions(self, core_v1_api_client):
+        list_namespaces = core_v1_api_client.list_namespace()
         namespaces = [namespace.metadata.name
                       for namespace in list_namespaces.items]
         return namespaces
@@ -122,9 +112,9 @@ class Kubernetes_Driver(abstract_vim_driver.VimAbstractDriver):
         # in Kubernetes environment, user can deploy resource
         # on specific namespace
         auth_cred, file_descriptor = self._get_auth_creds(vim_obj)
-        k8s_coreV1Client = \
-            self.kubernetes.initialize_CoreApiV1Client(auth_cred)
-        namespace_list = self._find_regions(k8s_coreV1Client)
+        core_v1_api_client = \
+            self.kubernetes.get_core_v1_api_client(auth_cred)
+        namespace_list = self._find_regions(core_v1_api_client)
         self.clean_authenticate_vim(auth_cred, file_descriptor)
         vim_obj['placement_attr'] = {'regions': namespace_list}
         return vim_obj

tacker/tests/unit/nfvo/drivers/vim/test_kubernetes_driver.py

@@ -97,15 +97,15 @@ class TestKubernetes_Driver(base.TestCase):
         self._test_register_vim(self.vim_obj, mock_k8s_client,
                                 mock_k8s_coreV1Client)
         mock_k8s_coreV1Client.list_namespace.assert_called_once_with()
-        self.kubernetes_api.\
-            initialize_CoreApiClient.assert_called_once_with(auth_obj)
+        self.kubernetes_api. \
+            get_core_api_client.assert_called_once_with(auth_obj)
 
     def _test_register_vim(self, vim_obj, mock_k8s_client,
                            mock_k8s_coreV1Client):
-        self.kubernetes_api.\
-            initialize_CoreApiClient.return_value = mock_k8s_client
-        self.kubernetes_api.\
-            initialize_CoreApiV1Client.return_value = mock_k8s_coreV1Client
+        self.kubernetes_api. \
+            get_core_api_client.return_value = mock_k8s_client
+        self.kubernetes_api. \
+            get_core_v1_api_client.return_value = mock_k8s_coreV1Client
         fernet_attrs = {'encrypt.return_value': 'encrypted_password'}
         mock_fernet_obj = mock.Mock(**fernet_attrs)
         mock_fernet_key = 'test_fernet_key'

tacker/tosca/lib/tacker_defs.yaml

@@ -169,6 +169,36 @@ data_types:
         description: The mac address allowed to be paired with specific virtual IP.
 
 
+  tosca.datatypes.nfv.VnfcConfigurableProperties:
+    properties:
+      num_cpus:
+        type: float
+        required: false
+      mem_size:
+        type: string
+        required: false
+      image:
+        type: string
+        required: false
+      command:
+        type: list
+        entry_schema:
+          type: string
+        required: false
+      args:
+        type: list
+        entry_schema:
+          type: string
+        required: false
+      ports:
+        type: list
+        entry_schema:
+          type: string
+        required: false
+      config:
+        type: string
+        required: false
+
 policy_types:
   tosca.policies.tacker.Placement:
     derived_from: tosca.policies.Root
@@ -279,6 +309,10 @@ policy_types:
           type: string
         required: true
         description: List of Scaling nodes.
+      target_cpu_utilization_percentage:
+        type: integer
+        required: false
+        description: The target average CPU utilization over all the pods which is used in Kubernetes environment
       min_instances:
         type: integer
         required: true

tacker/tosca/lib/tacker_nfv_defs.yaml

@@ -248,6 +248,28 @@ node_types:
         type: string
         required: false
 
+      vnfcs:
+        type: map
+        required: false
+        entry_schema:
+          type: tosca.datatypes.nfv.VnfcConfigurableProperties
+
+      namespace:
+        type: string
+        required: false
+
+      mapping_ports:
+        type: list
+        required: false
+        entry_schema:
+          type: string
+
+      labels:
+        type: list
+        required: false
+        entry_schema:
+          type: string
+
   tosca.nodes.nfv.CP.Tacker:
     derived_from: tosca.nodes.nfv.CP
     properties:

tacker/vnfm/infra_drivers/kubernetes/k8s/tosca_kube_object.py

@@ -0,0 +1,241 @@
+# All Rights Reserved.
+#
+#
+#    Licensed under the Apache License, Version 2.0 (the "License"); you may
+#    not use this file except in compliance with the License. You may obtain
+#    a copy of the License at
+#
+#         http://www.apache.org/licenses/LICENSE-2.0
+#
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#    License for the specific language governing permissions and limitations
+#    under the License.
+
+
+class ToscaKubeObject(object):
+
+    """ToscaKubeObject holds the basic struct of a VDU.
+
+    That is used for translating TOSCA to Kubernetes templates.
+    """
+
+    def __init__(self, name=None, namespace=None, mapping_ports=None,
+                 containers=None, network_name=None,
+                 mgmt_connection_point=False, scaling_object=None,
+                 service_type=None, labels=None):
+        self._name = name
+        self._namespace = namespace
+        self._mapping_ports = mapping_ports
+        self._containers = containers
+        self._network_name = network_name
+        self._mgmt_connection_point = mgmt_connection_point
+        self._scaling_object = scaling_object
+        self._service_type = service_type
+        self._labels = labels
+
+    @property
+    def name(self):
+        return self._name
+
+    @name.setter
+    def name(self, name):
+        self._name = name
+
+    @property
+    def namespace(self):
+        return self._namespace
+
+    @namespace.setter
+    def namespace(self, namespace):
+        self._namespace = namespace
+
+    @property
+    def mapping_ports(self):
+        return self._mapping_ports
+
+    @mapping_ports.setter
+    def mapping_ports(self, mapping_ports):
+        self._mapping_ports = mapping_ports
+
+    @property
+    def containers(self):
+        return self._containers
+
+    @containers.setter
+    def containers(self, containers):
+        self._containers = containers
+
+    @property
+    def network_name(self):
+        return self._network_name
+
+    @network_name.setter
+    def network_name(self, network_name):
+        self._network_name = network_name
+
+    @property
+    def mgmt_connection_point(self):
+        return self._mgmt_connection_point
+
+    @mgmt_connection_point.setter
+    def mgmt_connection_point(self, mgmt_connection_point):
+        self._mgmt_connection_point = mgmt_connection_point
+
+    @property
+    def scaling_object(self):
+        return self._scaling_object
+
+    @scaling_object.setter
+    def scaling_object(self, scaling_object):
+        self._scaling_object = scaling_object
+
+    @property
+    def service_type(self):
+        return self._service_type
+
+    @service_type.setter
+    def service_type(self, service_type):
+        self._service_type = service_type
+
+    @property
+    def labels(self):
+        return self._labels
+
+    @labels.setter
+    def labels(self, labels):
+        self._labels = labels
+
+
+class Container(object):
+    """Container holds the basic structs of a container"""
+    def __init__(self, name=None, num_cpus=None, mem_size=None, image=None,
+                 command=None, args=None, ports=None, config=None):
+        self._name = name
+        self._num_cpus = num_cpus
+        self._mem_size = mem_size
+        self._image = image
+        self._command = command
+        self._args = args
+        self._ports = ports
+        self._config = config
+
+    @property
+    def name(self):
+        return self._name
+
+    @name.setter
+    def name(self, name):
+        self._name = name
+
+    @property
+    def num_cpus(self):
+        return self._num_cpus
+
+    @num_cpus.setter
+    def num_cpus(self, num_cpus):
+        self._num_cpus = num_cpus
+
+    @property
+    def mem_size(self):
+        return self._mem_size
+
+    @mem_size.setter
+    def mem_size(self, mem_size):
+        self._mem_size = mem_size
+
+    @property
+    def image(self):
+        return self._image
+
+    @image.setter
+    def image(self, image):
+        self._image = image
+
+    @property
+    def command(self):
+        return self._command
+
+    @command.setter
+    def command(self, command):
+        self._command = command
+
+    @property
+    def args(self):
+        return self._args
+
+    @args.setter
+    def args(self, args):
+        self._args = args
+
+    @property
+    def ports(self):
+        return self._ports
+
+    @ports.setter
+    def ports(self, ports):
+        self._ports = ports
+
+    @property
+    def config(self):
+        return self._config
+
+    @config.setter
+    def config(self, config):
+        self._config = config
+
+
+class ScalingObject(object):
+    """ScalingObject holds the basic struct of a horizontal pod auto-scaling"""
+    def __init__(self, scaling_name=None, min_replicas=None, max_replicas=None,
+                 scale_target_name=None,
+                 target_cpu_utilization_percentage=None):
+        self._scaling_name = scaling_name
+        self._min_replicas = min_replicas
+        self._max_replicas = max_replicas
+        self._scale_target_name = scale_target_name
+        self._target_cpu_utilization_percentage = \
+            target_cpu_utilization_percentage
+
+    @property
+    def scaling_name(self):
+        return self._scaling_name
+
+    @scaling_name.setter
+    def scaling_name(self, scaling_name):
+        self._scaling_name = scaling_name
+
+    @property
+    def min_replicas(self):
+        return self._min_replicas
+
+    @min_replicas.setter
+    def min_replicas(self, min_replicas):
+        self._min_replicas = min_replicas
+
+    @property
+    def max_replicas(self):
+        return self._max_replicas
+
+    @max_replicas.setter
+    def max_replicas(self, max_replicas):
+        self._max_replicas = max_replicas
+
+    @property
+    def scale_target_name(self):
+        return self._scale_target_name
+
+    @scale_target_name.setter
+    def scale_target_name(self, scale_target_name):
+        self._scale_target_name = scale_target_name
+
+    @property
+    def target_cpu_utilization_percentage(self):
+        return self._target_cpu_utilization_percentage
+
+    @target_cpu_utilization_percentage.setter
+    def target_cpu_utilization_percentage(self,
+                                          target_cpu_utilization_percentage):
+        self._target_cpu_utilization_percentage = \
+            target_cpu_utilization_percentage

tacker/vnfm/infra_drivers/kubernetes/k8s/translate_inputs.py

@@ -0,0 +1,277 @@
+# All Rights Reserved.
+#
+#
+#    Licensed under the Apache License, Version 2.0 (the "License"); you may
+#    not use this file except in compliance with the License. You may obtain
+#    a copy of the License at
+#
+#         http://www.apache.org/licenses/LICENSE-2.0
+#
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#    License for the specific language governing permissions and limitations
+#    under the License.
+
+from oslo_config import cfg
+from oslo_log import log as logging
+from oslo_utils import uuidutils
+
+from tacker.common import log
+from tacker.extensions import vnfm
+from tacker.tosca import utils as toscautils
+from tacker.vnfm.infra_drivers.kubernetes.k8s import tosca_kube_object
+
+from toscaparser.functions import GetInput
+from toscaparser import tosca_template
+import toscaparser.utils.yamlparser
+
+
+LOG = logging.getLogger(__name__)
+CONF = cfg.CONF
+
+YAML_LOADER = toscaparser.utils.yamlparser.load_yaml
+SCALING = 'tosca.policies.Scaling'
+TACKER_CP = 'tosca.nodes.nfv.CP.Tacker'
+TACKER_VL = 'tosca.nodes.nfv.VL'
+COLON_CHARACTER = ':'
+WHITE_SPACE_CHARACTER = ' '
+NON_WHITE_SPACE_CHARACTER = ''
+TOSCA_LINKS_TO = 'tosca.relationships.network.LinksTo'
+TOSCA_BINDS_TO = 'tosca.relationships.network.BindsTo'
+
+ALLOWED_KUBERNETES_OBJECT_PROPS = ('namespace', 'mapping_ports', 'labels',
+                                   'vnfcs', 'service_type',
+                                   'mgmt_driver', 'config_drive')
+ALLOWED_CONTAINER_OBJECT_PROPS = ('num_cpus', 'mem_size', 'image', 'config',
+                                  'command', 'args', 'ports')
+ALLOWED_SCALING_OBJECT_PROPS = ('min_instances', 'max_instances',
+                                'target_cpu_utilization_percentage')
+
+SCALAR_UNIT_DICT = {'B': 1, 'kB': 1000, 'KiB': 1024, 'MB': 1000000,
+                    'MiB': 1048576, 'GB': 1000000000,
+                    'GiB': 1073741824, 'TB': 1000000000000,
+                    'TiB': 1099511627776}
+
+
+class Parser(object):
+    """Convert TOSCA template to Tosca Kube object"""
+
+    def __init__(self, vnfd_dict):
+        self.vnfd_dict = vnfd_dict
+
+    def loader(self):
+        """Load TOSCA template and start parsing"""
+
+        try:
+            parserd_params = None
+            toscautils.updateimports(self.vnfd_dict)
+            tosca = tosca_template.\
+                ToscaTemplate(parsed_params=parserd_params,
+                              a_file=False,
+                              yaml_dict_tpl=self.vnfd_dict)
+        except Exception as e:
+            LOG.debug("tosca-parser error: %s", str(e))
+            raise vnfm.ToscaParserFailed(error_msg_details=str(e))
+
+        # Initiate a list tosca_kube_object which are defined from VDU
+        tosca_kube_objects = []
+        vdus = toscautils.findvdus(tosca)
+
+        for node_template in vdus:
+            vdu_name = node_template.name
+            tosca_kube_obj = self.tosca_to_kube_mapping(node_template)
+
+            # Find network name in which VDU is attached
+            tosca_kube_obj.network_name = self.find_networks(tosca, vdu_name)
+
+            # If connection_point is True, Tacker will manage its service ip
+            tosca_kube_obj.mgmt_connection_point = \
+                self.check_mgmt_cp(tosca, vdu_name)
+
+            # Find scaling policy that is used for this VDU, different to
+            # VM-based VNF, there are no alarm policies.
+            tosca_kube_obj.scaling_object = \
+                self.get_scaling_policy(tosca, vdu_name)
+            tosca_kube_objects.append(tosca_kube_obj)
+        return tosca_kube_objects
+
+    @log.log
+    def tosca_to_kube_mapping(self, node_template):
+        """Map TOSCA template to ToscaKubeObject properties"""
+        tosca_props = self.get_properties(node_template)
+        self.check_unsupported_key(tosca_props,
+                                   ALLOWED_KUBERNETES_OBJECT_PROPS)
+        tosca_kube_obj = tosca_kube_object.ToscaKubeObject()
+
+        # tosca_kube_obj name is used for tracking Kubernetes resources
+        service_name = 'svc-' + node_template.name + '-' + \
+                       uuidutils.generate_uuid()
+        tosca_kube_obj.name = service_name[:15]
+        tosca_kube_obj.namespace = tosca_props.get('namespace')
+        tosca_kube_obj.mapping_ports = tosca_props.get('mapping_ports')
+        tosca_kube_obj.labels = tosca_props.get('labels')
+
+        # Find config properties of VNFComponents in each VDU node
+        vnfc_config_props = tosca_props.get('vnfcs')
+        container_objects = self.vnfc_configurable_to_container_mapping(
+            vnfc_config_props)
+        tosca_kube_obj.containers = container_objects
+
+        # In labels, we define which type of Service VNF will be deployed
+        service_labels = dict()
+        if tosca_kube_obj.labels:
+            for label in tosca_kube_obj.labels:
+                label = label.replace(
+                    WHITE_SPACE_CHARACTER,
+                    NON_WHITE_SPACE_CHARACTER)
+                labels = label.split(COLON_CHARACTER)
+                service_labels.update({labels[0]: labels[1]})
+        tosca_kube_obj.labels = service_labels
+        tosca_kube_obj.service_type = tosca_props.get('service_type')
+        return tosca_kube_obj
+
+    @log.log
+    def vnfc_configurable_to_container_mapping(self, vnfc_config_properties):
+        """Map VnfcConfigurableProperties to list of containers"""
+        containers = list()
+        for container_name, container_props in vnfc_config_properties.items():
+            container = tosca_kube_object.Container()
+            container.name = container_name
+            self.check_unsupported_key(container_props,
+                                       ALLOWED_CONTAINER_OBJECT_PROPS)
+            container.num_cpus = container_props.get('num_cpus')
+            memory_size = container_props.get('mem_size')
+            container.mem_size = self.process_memory(memory_size)
+            container.image = container_props.get('image')
+            container.config = container_props.get('config')
+            container.command = container_props.get('command')
+            container.args = container_props.get('args')
+            container.ports = container_props.get('ports')
+            containers.append(container)
+        return containers
+
+    @log.log
+    def process_memory(self, mem_value):
+        """Translate memory size with unit to a number of byte memory"""
+        # Memory size has the pattern e.g. 512 MB, 1024 MB or 1 GB
+        parser_memory = mem_value.split(WHITE_SPACE_CHARACTER)
+        memory_value = parser_memory[0]
+        memory_unit = parser_memory[1]
+        memory_real_value = 0
+
+        # Translate memory's byte size based on SCALAR_UNIT_DICT
+        if memory_unit in SCALAR_UNIT_DICT.keys():
+            memory_real_value = \
+                int(memory_value) * SCALAR_UNIT_DICT[memory_unit]
+        return memory_real_value
+
+    @log.log
+    def get_scaling_policy(self, tosca, vdu_name):
+        """Find scaling policy which is used for VDU"""
+        if len(tosca.policies) == 0:
+            scaling_obj = None
+        else:
+            count = 0
+            scaling_obj = tosca_kube_object.ScalingObject()
+            for policy in tosca.policies:
+                if policy.type_definition.is_derived_from(SCALING) \
+                        and vdu_name in policy.targets:
+                    count = count + 1
+                    policy_props = policy.properties
+                    self.check_unsupported_key(policy_props,
+                                               ALLOWED_SCALING_OBJECT_PROPS)
+                    scaling_obj.scaling_name = policy.name
+                    scaling_obj.target_cpu_utilization_percentage = \
+                        policy_props.get(
+                            'target_cpu_utilization_percentage')
+                    scaling_obj.min_replicas = \
+                        policy_props.get('min_instances')
+                    scaling_obj.max_replicas = \
+                        policy_props.get('max_instances')
+
+            if count > 1:
+                # Because in Kubernetes environment, we can attach only one
+                # scaling policy to Deployment. If user provides more than one
+                # policy this error will happen when count > 1
+                LOG.debug("Tacker only support one scaling policy per VDU")
+                raise vnfm.InvalidKubernetesScalingPolicyNumber
+
+        return scaling_obj
+
+    @log.log
+    def find_networks(self, tosca, vdu_name):
+        """Find networks which VDU is attached based on vdu_name."""
+        networks = []
+        network_names = []
+        for node_template in tosca.nodetemplates:
+            if node_template.type_definition.is_derived_from(TACKER_CP):
+                match = False
+                links_to = None
+                binds_to = None
+                for rel, node in node_template.relationships.items():
+                    if not links_to and rel.is_derived_from(TOSCA_LINKS_TO):
+                        links_to = node
+                    elif not binds_to and rel.is_derived_from(TOSCA_BINDS_TO):
+                        binds_to = node
+                        if binds_to.name == vdu_name:
+                            match = True
+                if match:
+                    networks.append(links_to.name)
+
+        for node_template in tosca.nodetemplates:
+            if node_template.type_definition.is_derived_from(TACKER_VL):
+                tosca_props = self.get_properties(node_template)
+                if node_template.name in networks:
+                    for key, value in tosca_props.items():
+                        if key == 'network_name':
+                            network_names.append(value)
+
+        if len(network_names) > 1:
+            # Currently, Kubernetes doesn't support multiple networks.
+            # If user provides more than one network, the error will raise.
+            # TODO(anyone): support Multus or multiple networking
+            LOG.debug("Kubernetes feature only support one network")
+            raise vnfm.InvalidKubernetesNetworkNumber
+        if network_names:
+            return network_names[0]
+        else:
+            return None
+
+    @log.log
+    def check_mgmt_cp(self, tosca, vdu_name):
+        """Check if management for connection point is enabled"""
+        mgmt_connection_point = False
+        for nt in tosca.nodetemplates:
+            if nt.type_definition.is_derived_from(TACKER_CP):
+                mgmt = nt.get_property_value('management') or None
+                if mgmt:
+                    vdu = None
+                    for rel, node in nt.relationships.items():
+                        if rel.is_derived_from(TOSCA_BINDS_TO):
+                            vdu = node.name
+                            break
+                    if vdu == vdu_name:
+                        mgmt_connection_point = True
+        LOG.debug('mgmt_connection_point: %s', mgmt_connection_point)
+        return mgmt_connection_point
+
+    @log.log
+    def get_properties(self, node_template):
+        """Return a list of property node template objects."""
+        tosca_props = {}
+        for prop in node_template.get_properties_objects():
+            if isinstance(prop.value, GetInput):
+                tosca_props[prop.name] = {'get_param': prop.value.input_name}
+            else:
+                tosca_props[prop.name] = prop.value
+        return tosca_props
+
+    def check_unsupported_key(self, input_values, support_key):
+        """collect all unsupported keys"""
+        found_keys = []
+        for key in input_values:
+            if key not in support_key:
+                found_keys.append(key)
+        if len(found_keys) > 0:
+            raise vnfm.InvalidKubernetesInputParameter(found_keys=found_keys)

tacker/vnfm/infra_drivers/kubernetes/k8s/translate_outputs.py

@@ -0,0 +1,351 @@
+# All Rights Reserved.
+#
+#
+#    Licensed under the Apache License, Version 2.0 (the "License"); you may
+#    not use this file except in compliance with the License. You may obtain
+#    a copy of the License at
+#
+#         http://www.apache.org/licenses/LICENSE-2.0
+#
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#    License for the specific language governing permissions and limitations
+#    under the License.
+
+from kubernetes import client
+from oslo_config import cfg
+from oslo_log import log as logging
+import toscaparser.utils.yamlparser
+
+LOG = logging.getLogger(__name__)
+CONF = cfg.CONF
+
+YAML_LOADER = toscaparser.utils.yamlparser.load_yaml
+NEWLINE_CHARACTER = "\n"
+COLON_CHARACTER = ':'
+WHITE_SPACE_CHARACTER = ' '
+NON_WHITE_SPACE_CHARACTER = ''
+HYPHEN_CHARACTER = '-'
+DASH_CHARACTER = '_'
+
+
+class Transformer(object):
+    """Transform TOSCA template to Kubernetes resources"""
+
+    def __init__(self, core_v1_api_client, extension_api_client,
+                 scaling_api_client):
+        self.core_v1_api_client = core_v1_api_client
+        self.extension_api_client = extension_api_client
+        self.scaling_api_client = scaling_api_client
+
+    def transform(self, tosca_kube_objects):
+        """transform function translates from tosca_kube_object to
+
+        kubernetes_object (ConfigMap, Deployment, Service, HPA)
+        """
+
+        # kubernetes_objects store all kubernetes objects that are transformed
+        # from TOSCA VNF template
+        kubernetes_objects = dict()
+        for tosca_kube_obj in tosca_kube_objects:
+            namespace = tosca_kube_obj.namespace
+            kubernetes_objects['namespace'] = namespace
+            kubernetes_objects['objects'] = list()
+            kube_obj_name = tosca_kube_obj.name
+            new_kube_obj_name = self.pre_process_name(kube_obj_name)
+
+            # translate environments to ConfigMap objects
+            for container in tosca_kube_obj.containers:
+                config_map_object = \
+                    self.init_configmap(container_props=container,
+                                        kube_obj_name=new_kube_obj_name)
+                if config_map_object:
+                    kubernetes_objects['objects'].append(config_map_object)
+
+            # translate Deployment object
+            deployment_object = \
+                self.init_deployment(tosca_kube_obj=tosca_kube_obj,
+                                     kube_obj_name=new_kube_obj_name)
+            kubernetes_objects['objects'].append(deployment_object)
+
+            # translate to Horizontal Pod Autoscaler object
+            hpa_object = self.init_hpa(tosca_kube_obj=tosca_kube_obj,
+                                       kube_obj_name=new_kube_obj_name)
+            if hpa_object:
+                kubernetes_objects['objects'].append(hpa_object)
+
+            # translate to Service object
+            service_object = self.init_service(tosca_kube_obj=tosca_kube_obj,
+                                               kube_obj_name=new_kube_obj_name)
+            kubernetes_objects['objects'].append(service_object)
+
+        return kubernetes_objects
+
+    def deploy(self, kubernetes_objects):
+        """Deploy Kubernetes objects on Kubernetes VIM and return
+
+        a list name of services
+        """
+
+        deployment_names = list()
+        namespace = kubernetes_objects.get('namespace')
+        k8s_objects = kubernetes_objects.get('objects')
+
+        for k8s_object in k8s_objects:
+            object_type = k8s_object.kind
+
+            if object_type == 'ConfigMap':
+                self.core_v1_api_client.create_namespaced_config_map(
+                    namespace=namespace,
+                    body=k8s_object)
+                LOG.debug('Successfully created ConfigMap %s',
+                          k8s_object.metadata.name)
+            elif object_type == 'Deployment':
+                self.extension_api_client.create_namespaced_deployment(
+                    namespace=namespace,
+                    body=k8s_object)
+                LOG.debug('Successfully created Deployment %s',
+                          k8s_object.metadata.name)
+            elif object_type == 'HorizontalPodAutoscaler':
+                self.scaling_api_client.\
+                    create_namespaced_horizontal_pod_autoscaler(
+                        namespace=namespace,
+                        body=k8s_object)
+                LOG.debug('Successfully created Horizontal Pod Autoscaler %s',
+                          k8s_object.metadata.name)
+            elif object_type == 'Service':
+                self.core_v1_api_client.create_namespaced_service(
+                    namespace=namespace,
+                    body=k8s_object)
+                LOG.debug('Successfully created Service %s',
+                          k8s_object.metadata.name)
+                deployment_names.append(namespace)
+                deployment_names.append(k8s_object.metadata.name)
+
+        # return a string that contains all deployment namespace and names
+        # for tracking resources pattern:
+        # namespace1,deployment1,namespace2,deployment2,namespace3,deployment3
+        return ",".join(deployment_names)
+
+    # config_labels configures label
+    def config_labels(self, deployment_name=None, scaling_name=None):
+        label = dict()
+        if deployment_name:
+            label.update({"selector": deployment_name})
+        if scaling_name:
+            label.update({"scaling_name": scaling_name})
+        return label
+
+    # Init resource requirement for container
+    def init_resource_requirements(self, container):
+        limits = dict()
+        requests = dict()
+        if container.num_cpus:
+            limits.update({'cpu': container.num_cpus})
+            requests.update({'cpu': container.num_cpus})
+        if container.mem_size:
+            limits.update({'memory': container.mem_size})
+            requests.update({'memory': container.mem_size})
+        return client.V1ResourceRequirements(limits=limits,
+                                             requests=requests)
+
+    def init_envs(self, container_props, name):
+        config = container_props.config
+        config_dict = self.pre_process_config(config)
+        configmap_name = name
+
+        list_envs = []
+        for key in config_dict:
+            config_map_ref = client.V1ConfigMapKeySelector(
+                key=key,
+                name=configmap_name)
+            env_var = client.V1EnvVarSource(
+                config_map_key_ref=config_map_ref)
+            env_object = client.V1EnvVar(
+                name=key,
+                value_from=env_var)
+            list_envs.append(env_object)
+        return list_envs
+
+    # Init container object
+    def init_containers(self, container_props, limit_resource, name):
+        list_env_var = self.init_envs(container_props, name)
+        container_name = self.pre_process_name(container_props.name)
+        list_container_port = list()
+        if container_props.ports:
+            for container_port in container_props.ports:
+                port = int(container_port)
+                cport = client.V1ContainerPort(container_port=port)
+                list_container_port.append(cport)
+        container = client.V1Container(
+            name=container_name,
+            image=container_props.image,
+            ports=list_container_port,
+            resources=limit_resource,
+            command=container_props.command,
+            args=container_props.args,
+            env=list_env_var,
+            image_pull_policy="IfNotPresent")
+        return container
+
+    # init_deployment initializes Kubernetes Pod object
+    def init_deployment(self, tosca_kube_obj, kube_obj_name):
+        """Instantiate the deployment object"""
+
+        deployment_name = kube_obj_name
+        # Create a list of container, which made a Pod
+        containers = list()
+        for container_prop in tosca_kube_obj.containers:
+            limit_resource = self.init_resource_requirements(container_prop)
+            container = self.init_containers(
+                container_props=container_prop,
+                limit_resource=limit_resource,
+                name=deployment_name)
+            containers.append(container)
+
+        # Make a label with pattern {"selector": "deployment_name"}
+        if tosca_kube_obj.scaling_object:
+            scaling_name = tosca_kube_obj.scaling_object.scaling_name
+            update_label = self.config_labels(deployment_name=deployment_name,
+                                              scaling_name=scaling_name)
+        else:
+            update_label = self.config_labels(deployment_name=deployment_name)
+        if tosca_kube_obj.labels:
+            if 'selector' in update_label:
+                del update_label['selector']
+            labels = dict(tosca_kube_obj.labels.items() + update_label.items())
+        else:
+            labels = update_label
+
+        # Create and configure a spec section
+        pod_template = client.V1PodTemplateSpec(
+            metadata=client.V1ObjectMeta(labels=labels),
+            spec=client.V1PodSpec(containers=containers))
+
+        # Create the specification of deployment
+        deployment_spec = client.ExtensionsV1beta1DeploymentSpec(
+            template=pod_template)
+        metadata = client.V1ObjectMeta(name=deployment_name)
+
+        # Instantiate the deployment object
+        deployment = client.ExtensionsV1beta1Deployment(
+            api_version="extensions/v1beta1",
+            kind="Deployment",
+            metadata=metadata,
+            spec=deployment_spec)
+        return deployment
+
+    # init_hpa initializes Kubernetes Horizon Pod Auto-scaling object
+    def init_hpa(self, tosca_kube_obj, kube_obj_name):
+        scaling_props = tosca_kube_obj.scaling_object
+        hpa = None
+        if scaling_props:
+            min_replicas = scaling_props.min_replicas
+            max_replicas = scaling_props.max_replicas
+            cpu_util = scaling_props.target_cpu_utilization_percentage
+            deployment_name = kube_obj_name
+
+            # Create target Deployment object
+            target = client.V1CrossVersionObjectReference(
+                api_version="extensions/v1beta1",
+                kind="Deployment",
+                name=deployment_name)
+            # Create the specification of horizon pod auto-scaling
+            hpa_spec = client.V1HorizontalPodAutoscalerSpec(
+                min_replicas=min_replicas,
+                max_replicas=max_replicas,
+                target_cpu_utilization_percentage=cpu_util,
+                scale_target_ref=target)
+            metadata = client.V1ObjectMeta(name=deployment_name)
+            # Create Horizon Pod Auto-Scaling
+            hpa = client.V1HorizontalPodAutoscaler(
+                api_version="autoscaling/v1",
+                kind="HorizontalPodAutoscaler",
+                spec=hpa_spec,
+                metadata=metadata)
+        return hpa
+
+    # init_service initializes Kubernetes service object
+    def init_service(self, tosca_kube_obj, kube_obj_name):
+        list_service_port = list()
+        service_label = tosca_kube_obj.labels
+        for port in tosca_kube_obj.mapping_ports:
+            if COLON_CHARACTER in port:
+                ports = port.split(COLON_CHARACTER)
+                published_port = int(ports[0])
+                target_port = int(ports[1])
+            else:
+                target_port = published_port = int(port)
+            service_port = client.V1ServicePort(
+                name=str(published_port),
+                port=published_port,
+                target_port=target_port)
+            list_service_port.append(service_port)
+
+        deployment_name = kube_obj_name
+        selector_by_name = self.config_labels(deployment_name)
+        if tosca_kube_obj.labels:
+            selectors = tosca_kube_obj.labels.copy()
+        else:
+            selectors = selector_by_name
+        if tosca_kube_obj.mgmt_connection_point:
+            service_label['management_connection'] = 'True'
+        if tosca_kube_obj.network_name:
+            service_label['network_name'] = tosca_kube_obj.network_name
+        service_label['vdu_name'] = tosca_kube_obj.name
+
+        metadata = client.V1ObjectMeta(name=deployment_name,
+                                       labels=service_label)
+        if tosca_kube_obj.service_type:
+            service_type = tosca_kube_obj.service_type
+        else:
+            service_type = None
+        service_spec = client.V1ServiceSpec(
+            selector=selectors,
+            ports=list_service_port,
+            type=service_type)
+
+        service = client.V1Service(
+            api_version="v1",
+            kind="Service",
+            spec=service_spec,
+            metadata=metadata)
+        return service
+
+    # init_config_map initializes Kubernetes ConfigMap object
+    def init_configmap(self, container_props, kube_obj_name):
+        config_map = None
+        if container_props.config:
+            configmap_name = kube_obj_name
+            metadata = client.V1ObjectMeta(name=configmap_name)
+            config_dict = self.pre_process_config(container_props.config)
+            config_map = client.V1ConfigMap(
+                api_version="v1",
+                kind="ConfigMap",
+                data=config_dict,
+                metadata=metadata)
+        return config_map
+
+    def pre_process_name(self, name):
+        # replace '_' by '-' to meet Kubernetes' requirement
+        new_name = name.replace(DASH_CHARACTER, HYPHEN_CHARACTER).lower()
+        return new_name
+
+    def pre_process_config(self, config):
+        # Split by separating lines
+        config_dict = {}
+        if config:
+            configs = config.split(NEWLINE_CHARACTER)
+            for config_item in configs:
+                # Ignore if config_item is null
+                if config_item:
+                    # Strip all types of white-space characters
+                    config_item = config_item.replace(
+                        WHITE_SPACE_CHARACTER,
+                        NON_WHITE_SPACE_CHARACTER)
+                    config_prop = config_item.split(COLON_CHARACTER)
+                    config_dict[config_prop[0]] = config_prop[1]
+            # config_dict has the pattern such as
+            # {'param1': 'key1', 'param0': 'key0'}
+        return config_dict

tacker/vnfm/infra_drivers/kubernetes/kubernetes_driver.py

@@ -0,0 +1,547 @@
+# All Rights Reserved.
+#
+#
+#    Licensed under the Apache License, Version 2.0 (the "License"); you may
+#    not use this file except in compliance with the License. You may obtain
+#    a copy of the License at
+#
+#         http://www.apache.org/licenses/LICENSE-2.0
+#
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#    License for the specific language governing permissions and limitations
+#    under the License.
+
+import time
+import yaml
+
+from kubernetes import client
+from oslo_config import cfg
+from oslo_log import log as logging
+from oslo_serialization import jsonutils
+
+from tacker.common.container import kubernetes_utils
+from tacker.common import log
+from tacker.common import utils
+from tacker.extensions import vnfm
+from tacker.vnfm.infra_drivers import abstract_driver
+from tacker.vnfm.infra_drivers.kubernetes import translate_template
+from tacker.vnfm.infra_drivers import scale_driver
+
+LOG = logging.getLogger(__name__)
+CONF = cfg.CONF
+
+OPTS = [
+    cfg.IntOpt('stack_retries',
+               default=100,
+               help=_("Number of attempts to retry for stack"
+                      " creation/deletion")),
+    cfg.IntOpt('stack_retry_wait',
+               default=5,
+               help=_("Wait time (in seconds) between consecutive stack"
+                      " create/delete retries")),
+]
+
+CONF.register_opts(OPTS, group='kubernetes_vim')
+
+
+def config_opts():
+    return [('kubernetes_vim', OPTS)]
+
+
+SCALING_POLICY = 'tosca.policies.tacker.Scaling'
+COMMA_CHARACTER = ','
+
+
+def get_scaling_policy_name(action, policy_name):
+    return '%s_scale_%s' % (policy_name, action)
+
+
+class Kubernetes(abstract_driver.DeviceAbstractDriver,
+                 scale_driver.VnfScaleAbstractDriver):
+    """Kubernetes infra driver for hosting containerized vnfs"""
+
+    def __init__(self):
+        super(Kubernetes, self).__init__()
+        self.STACK_RETRIES = cfg.CONF.kubernetes_vim.stack_retries
+        self.STACK_RETRY_WAIT = cfg.CONF.kubernetes_vim.stack_retry_wait
+        self.kubernetes = kubernetes_utils.KubernetesHTTPAPI()
+
+    def get_type(self):
+        return 'kubernetes'
+
+    def get_name(self):
+        return 'kubernetes'
+
+    def get_description(self):
+        return 'Kubernetes infra driver'
+
+    @log.log
+    def create(self, plugin, context, vnf, auth_attr):
+        """Create function
+
+        Create ConfigMap, Deployment, Service and Horizontal Pod Autoscaler
+        objects. Return a string that contains all deployment namespace and
+        names for tracking resources.
+        """
+        LOG.debug('vnf %s', vnf)
+        # initialize Kubernetes APIs
+        auth_cred, file_descriptor = self._get_auth_creds(auth_attr)
+        try:
+            core_v1_api_client = self.kubernetes.get_core_v1_api_client(
+                auth=auth_cred)
+            extension_api_client = self.kubernetes.get_extension_api_client(
+                auth=auth_cred)
+            scaling_api_client = self.kubernetes.get_scaling_api_client(
+                auth=auth_cred)
+            tosca_to_kubernetes = translate_template.TOSCAToKubernetes(
+                vnf=vnf,
+                core_v1_api_client=core_v1_api_client,
+                extension_api_client=extension_api_client,
+                scaling_api_client=scaling_api_client)
+            deployment_names = tosca_to_kubernetes.deploy_kubernetes_objects()
+        except Exception as e:
+            LOG.error('Creating VNF got an error due to %s', e)
+            raise
+        finally:
+            self.clean_authenticate_vim(auth_cred, file_descriptor)
+        return deployment_names
+
+    def create_wait(self, plugin, context, vnf_dict, vnf_id, auth_attr):
+        """Create wait function
+
+        Create wait function will marked VNF is ACTIVE when all status state
+        from Pod objects is RUNNING.
+        """
+        # initialize Kubernetes APIs
+        auth_cred, file_descriptor = self._get_auth_creds(auth_attr)
+        try:
+            core_v1_api_client = \
+                self.kubernetes.get_core_v1_api_client(auth=auth_cred)
+            deployment_info = vnf_id.split(COMMA_CHARACTER)
+            mgmt_ips = dict()
+            pods_information = self._get_pods_information(
+                core_v1_api_client=core_v1_api_client,
+                deployment_info=deployment_info)
+            status = self._get_pod_status(pods_information)
+            stack_retries = self.STACK_RETRIES
+            error_reason = None
+            while status == 'Pending' and stack_retries > 0:
+                time.sleep(self.STACK_RETRY_WAIT)
+                pods_information = \
+                    self._get_pods_information(
+                        core_v1_api_client=core_v1_api_client,
+                        deployment_info=deployment_info)
+                status = self._get_pod_status(pods_information)
+                LOG.debug('status: %s', status)
+                stack_retries = stack_retries - 1
+
+            LOG.debug('VNF initializing status: %(service_name)s %(status)s',
+                      {'service_name': str(deployment_info), 'status': status})
+            if stack_retries == 0 and status != 'Running':
+                error_reason = _("Resource creation is not completed within"
+                                " {wait} seconds as creation of stack {stack}"
+                                " is not completed").format(
+                    wait=(self.STACK_RETRIES *
+                          self.STACK_RETRY_WAIT),
+                    stack=vnf_id)
+                LOG.warning("VNF Creation failed: %(reason)s",
+                            {'reason': error_reason})
+                raise vnfm.VNFCreateWaitFailed(reason=error_reason)
+            elif stack_retries != 0 and status != 'Running':
+                raise vnfm.VNFCreateWaitFailed(reason=error_reason)
+
+            for i in range(0, len(deployment_info), 2):
+                namespace = deployment_info[i]
+                deployment_name = deployment_info[i + 1]
+                service_info = core_v1_api_client.read_namespaced_service(
+                    name=deployment_name,
+                    namespace=namespace)
+                if service_info.metadata.labels.get("management_connection"):
+                    vdu_name = service_info.metadata.labels.\
+                        get("vdu_name").split("-")[1]
+                    mgmt_ip = service_info.spec.cluster_ip
+                    mgmt_ips.update({vdu_name: mgmt_ip})
+                    vnf_dict['mgmt_url'] = jsonutils.dumps(mgmt_ips)
+        except Exception as e:
+            LOG.error('Creating wait VNF got an error due to %s', e)
+            raise
+        finally:
+            self.clean_authenticate_vim(auth_cred, file_descriptor)
+
+    def _get_pods_information(self, core_v1_api_client, deployment_info):
+        """Get pod information"""
+        pods_information = list()
+        for i in range(0, len(deployment_info), 2):
+            namespace = deployment_info[i]
+            deployment_name = deployment_info[i + 1]
+            respone = \
+                core_v1_api_client.list_namespaced_pod(namespace=namespace)
+            for item in respone.items:
+                if deployment_name in item.metadata.name:
+                    pods_information.append(item)
+        return pods_information
+
+    def _get_pod_status(self, pods_information):
+        pending_flag = False
+        unknown_flag = False
+        for pod_info in pods_information:
+            status = pod_info.status.phase
+            if status == 'Pending':
+                pending_flag = True
+            elif status == 'Unknown':
+                unknown_flag = True
+        if unknown_flag:
+            status = 'Unknown'
+        elif pending_flag:
+            status = 'Pending'
+        else:
+            status = 'Running'
+        return status
+
+    @log.log
+    def update(self, plugin, context, vnf_id, vnf_dict, vnf, auth_attr):
+        """Update containerized VNF through ConfigMap data
+
+        In Kubernetes VIM, updating VNF will be updated by updating
+        ConfigMap data
+        """
+        # initialize Kubernetes APIs
+        auth_cred, file_descriptor = self._get_auth_creds(auth_attr)
+        try:
+            core_v1_api_client = \
+                self.kubernetes.get_core_v1_api_client(auth=auth_cred)
+
+            # update config attribute
+            config_yaml = vnf_dict.get('attributes', {}).get('config', '')
+            update_yaml = vnf['vnf'].get('attributes', {}).get('config', '')