vFW/Edgex with Multicloud Kubernetes Plugin: Setting Up and Configuration


This use case covers the deployment of vFW and Edgex HELM Charts in a Kubernetes based cloud region via the multicloud-k8s plugin. The multicloud-k8s plugin provides APIs to upload self-contained HELM Charts that can be customized via the profile API and later installed in a particular cloud region.

When the installation is complete (all the pods are either in running or completed state)

Create CSAR with Helm chart as an artifact

The CSAR is a heat template package with Helm chart in it. The basic package consists of an environment file, base_dummy.yaml file (example), MANIFEST.json and the tar.gz file (of Helm chart). We need to zip all of these files before onboarding. One thing to pay much attention to is the naming convention which must be followed while making the tgz. NOTE: The Naming convention is for the helm chart tgz file.

Naming convention follows the format:

<free format string>_*cloudtech*_<technology>_<subtype>.extension

  1. Cloudtech: is a fixed pattern and should not be changed if not necessary
  2. Technology: k8s, azure, aws
  3. Subtype: charts, day0, config template
  4. Extension: zip, tgz, csar

NOTE: The .tgz file must be a tgz created from the top level helm chart folder. I.e. a folder that contains a Chart.yaml file in it. For vFW use case the content of tgz file must be following

$ helm package firewall

$ tar -tf firewall-0.1.0.tgz


Listed below is an example of the contents inside a heat template package

$ vfw-k8s/package$ ls
 MANIFEST.json base_dummy.env base_dummy.yaml
 vfw_cloudtech_k8s_charts.tgz vfw_k8s_demo.zip


Key thing is note the addition of cloud artifact


  "name": "",
  "description": "",
  "data": [
          "file": "base_dummy.yaml",
          "type": "HEAT",
          "isBase": "true",
          "data": [
                  "file": "base_dummy.env",
                  "type": "HEAT_ENV"
          "file": "vfw_cloudtech_k8s_charts.tgz",


Designed to be minimal HEAT template

 ## Copyright (C) 2019 Intel Corporation
 ## SPDX-License-Identifier: Apache-2.0

 heat_template_version: 2016-10-14
 description: Heat template to deploy dummy VNF

     type: string
     label: name of vm
     description: Dummy name

     type: string
           label: id of vnommand to read (GET) Definition
     description: Provided by ONAP

     type: string
     label: name of vnf
     description: Provided by ONAP

     type: string
     label: vnf module id
     description: Provided by ONAP

         type: string
     label: Image name or ID
     description: Dummy image name

     type: string
     label: flavor
     description: Dummy flavor

     type: OS::Nova::Server
       name: { get_param: dummy_name_0 }
       image: { get_param: dummy_image_name }
       flavor: { get_param: dummy_flavor_name } metadata: { vnf_name: { get_param: vnf_name }, vnf_id: { get_param: vnf_id }, vf_module_id: { get_param: vf_module_id }}


  vnf_name: PROVIDED_BY_ONAP
  vf_module_id: PROVIDED_BY_ONAP
  dummy_name_0: dummy_1_0
  dummy_image_name: dummy
  dummy_flavor_name: dummy.default

Onboard the CSAR

For onboarding instructions please refer to steps 4-9 from the document here.

Steps for installing KUD Cloud

Follow the link to install KUD Kubernetes Deployment. KUD contains all the packages required for running vfw use case.

Kubernetes Baremetal deployment instructions here


API to support Reachability for Kubernetes Cloud

The command to POST connectivity info

  "cloud-region" : "<name>",   // Must be unique across
  "cloud-owner" :  "<owner>",
  "other-connectivity-list" : {

This is a multipart upload and here is how you do the POST for this.

#Using a json file (eg: post.json) containing content as above

curl -i -F "metadata=<post.json;type=application/json" -F file=@
 /home/ad_kkkamine/.kube/config -X POST http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/connectivity-info

Command to GET Connectivity Info

curl -i -X GET http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/connectivity-info/{name}

Command to DELETE Connectivity Info

curl -i -X GET http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/connectivity-info/{name}

Command to UPDATE/PUT Connectivity Info

curl -i -X GET http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/connectivity-info/{name}

Register KUD Cloud region with AAI

With k8s cloud region, we need to add a tenant to the k8s cloud region. The ‘easy’ way is to have the ESR information (in step 1 of cloud registration) point to a real OpenStack tenant (e.g. the OOF tenant in the lab where we tested).

This will cause multicloud to add the tenant to the k8s cloud region and then, similar to #10 in the documentation here, the service-subscription can be added to that object.

NOTE: use same name cloud-region and cloud-owner name

An example is shown below for K8s cloud but following the steps 1,2,3 from here. The sample input below is for k8s cloud type.

Step 1 - Cloud Registration/ Create a cloud region to represent the instance.

Note: highlighted part of the body refers to an existing OpenStack tenant (OOF in this case). Has nothing to do with the K8s cloud region we are adding.

PUT https://{{AAI1_PUB_IP}}:{{AAI1_PUB_PORT}}/aai/v13/cloud-infrastructure/cloud-regions/cloud-region/k8scloudowner4/k8sregionfour
       "cloud-owner": "k8scloudowner4",
       "cloud-region-id": "k8sregionfour",
       "cloud-type": "k8s",
       "owner-defined-type": "t1",
       "cloud-region-version": "1.0",
       "complex-name": "clli1",
       "cloud-zone": "CloudZone",
       "sriov-automation": false,
       "esr-system-info-list": {
              "esr-system-info": [
                                               "esr-system-info-id": "55f97d59-6cc3-49df-8e69-926565f00066",
                                               "service-url": "",
                                               "user-name": "demo",
                                               "password": "onapdemo",
                                               "system-type": "VIM",
                                               "ssl-insecure": true,
                                               "cloud-domain": "Default",
                                               "default-tenant": "OOF",
                                               "tenant-id": "6bbd2981b210461dbc8fe846df1a7808",
                                               "system-status": "active"

Step 2 add a complex to the cloud

Note: just adding one that exists already

PUT https://{{AAI1_PUB_IP}}:{{AAI1_PUB_PORT}}/aai/v13/cloud-infrastructure/cloud-regions/cloud-region/k8scloudowner4/k8sregionfour/relationship-list/relationship
 "related-to": "complex",
 "related-link": "/aai/v13/cloud-infrastructure/complexes/complex/clli1",
 "relationship-data": [
      "relationship-key": "complex.physical-location-id",
      "relationship-value": "clli1"

Step 3 - Trigger the Multicloud plugin registration process

POST http://{{MSB_IP}}:{{MSB_PORT}}/api/multicloud-titaniumcloud/v1/k8scloudowner4/k8sregionfour/registry

This registers the K8S cloud with Multicloud it also reaches out and adds tenant information to the cloud (see example below you’ll see all kinds of flavor, image information that is associated with the OOF tenant).

If we had not done it this way, then wed have to go in to AAI at this point and manually add a tenant to the cloud region. The first time I tried this (k8s region one), I just made up some random tenant id and put it in.)

The tenant is there so you can add the service-subscription to it:

Making a Service Type:

PUT https://{{AAI1_PUB_IP}}:{{AAI1_PUB_PORT}}/aai/v13/service-design-and-creation/services/service/vfw-k8s
             "service-description": "vfw-k8s",
             "service-id": "vfw-k8s"

Add subscription to service type to the customer (Demonstration in this case which was already created by running the robot demo scripts)

PUT https://{{AAI1_PUB_IP}}:{{AAI1_PUB_PORT}}/aai/v16/business/customers/customer/Demonstration/service-subscriptions/service-subscription/vfw-k8s
          "service-type": "vfw-k8s"

Add Service-Subscription to the tenant (resource-version changes based on actual value at the time):

PUT https://{{AAI1_PUB_IP}}:{{AAI1_PUB_PORT}}/aai/v16/cloud-infrastructure/cloud-regions/cloud-region/k8scloudowner4/k8sregionfour/tenants/tenant/6bbd2981b210461dbc8fe846df1a7808?resource-version=1559345527327
 "tenant-id": "6bbd2981b210461dbc8fe846df1a7808",
 "tenant-name": "OOF",
 "resource-version": "1559345527327",
 "relationship-list": {
      "relationship": [
              "related-to": "service-subscription",
              "relationship-label": "org.onap.relationships.inventory.Uses",
              "related-link": "/aai/v13/business/customers/customer/Demonstration/service-subscriptions/service-subscription/vfw-k8s",
              "relationship-data": [
                      "relationship-key": "customer.global-customer-id",
                      "relationship-value": "Demonstration"
                      "relationship-key": "service-subscription.service-type",
                      "relationship-value": "vfw-k8s"

Distribute the CSAR

Onboard a service it gets stored in SDC final action is distributed. SO and other services are notified sdc listener in the multicloud sidecar. When distribution happens it takes tar.gz file and uploads to k8s plugin.

Create Profile Manually

K8s-plugin artifacts start in the form of Definitions. These are nothing but Helm Charts wrapped with some metadata about the chart itself. Once the Definitions are created, we are ready to create some profiles so that we can customize that definition and instantiate it in Kubernetes.

NOTE: Refer this link for complete API lists and documentation:

A profile consists of the following:


  • Contains the details for the profile and everything contained within

A HELM values override yaml file.

  • It can have any name as long as it matches the corresponding entry in the manifest.yaml

Any number of files organized in a folder structure

  • All these files should have a corresponding entry in manifest.yaml file

Creating a Profile Artifact

> cd multicloud-k8s/kud/tests/vnfs/testrb/helm/profile
 > find .

 #Create profile tar.gz
 > cd profile
 > tar -cf profile.tar *
 > gzip profile.tar
 > mv profile.tar.gz ../

The manifest file contains the following

version: v1
values: "values_override.yaml"
  - filepath: testfol/subdir/deployment.yaml
    chartpath: vault-consul-dev/templates/deployment.yaml

Note: values: “values_override.yaml” can be empty file if you are creating a dummy profile

Note: A dummy profile does not need any customization. The following is optional in the manifest file.

  - filepath: testfol/subdir/deployment.yaml
    chartpath: vault-consul-dev/templates/deployment.yaml

We need to read the name of the Definition which was created while distribution of the service from SDC.

Command to read the Definition name and its version On the ONAP K8s Rancher host execute following statement

kubectl logs -n onap `kubectl get pods -o go-template --template '{{range .items}}{{.metadata.name}}{{"\n"}}{{end}}' | grep multicloud-k8s | head -1` -c multicloud-k8s

From the output read the name of the definition which is “rb-name” and “rb-version” respectively - - [15/Jul/2019:07:56:21 +0000] "POST /v1/rb/definition/test-rbdef/1/content HTTP/1.1"

Command to read (GET) Definition

With this information, we are ready to upload the profile with the following JSON data

  "rb-name": "test-rbdef",
  "rb-version": "1",
  "profile-name": "p1",
  "release-name": "r1", //If release-name is not provided, profile-name will be used
  "namespace": "testnamespace1",
  "kubernetes-version": "1.13.5"

Command to create (POST) Profile

curl -i -d @create_rbprofile.json -X POST http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/rb/definition/test-rbdef/1/profile

Command to UPLOAD artifact for Profile

curl -i --data-binary @profile.tar.gz -X POST http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/rb/definition/test-rbdef/1/profile/p1/content

Command to GET Profiles

curl -i http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/rb/definition/test-rbdef/1/profile
 # Get one Profile
 curl -i http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/rb/definition/test-rbdef/1/profile/p1

Command to DELETE Profile

curl -i -X DELETE http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/rb/definition/test-rbdef/1/profile/p1


Instantiation is done by SO. SO then talks to Multi Cloud-broker via MSB and that in turn looks up the cloud region in AAI to find the endpoint. If k8sregion one is registered with AAI and SO makes a call with that, then the broker will know that it needs to talk to k8s-plugin based on the type of the registration.

Instantiate the created Profile via the following REST API

Using the following JSON:
  "cloud-region": "kud",
  "profile-name": "p1",
  "labels": {

NOTE: Make sure that the namespace is already created before instantiation.

Instantiate the profile with the ID provided above

Command to Instantiate a Profile

curl -d @create_rbinstance.json http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/instance

The command returns the following JSON

"id": "ZKMTSaxv",
"rb-name": "mongo",
"rb-version": "1",
"profile-name": "profile1",
"cloud-region": "kud",
"namespace": "testns",
"resources": [
    "GVK": {
      "Group": "",
      "Version": "v1",
      "Kind": "Service"
    "Name": "mongo"
    "GVK": {
      "Group": "",
      "Version": "v1",
      "Kind": "Service"
    "Name": "mongo-read"
    "GVK": {
      "Group": "apps",
      "Version": "v1beta1",
      "Kind": "StatefulSet"
    "Name": "profile1-mongo"

Delete Instantiated Kubernetes resources

The id field from the returned JSON can be used to DELETE the resources created in the previous step. This executes a Delete operation using the Kubernetes API.

curl -X DELETE http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/instance/ZKMTSaxv

GET Instantiated Kubernetes resources

The id field from the returned JSON can be used to GET the resources created in the previous step. This executes a get operation using the Kubernetes API.

curl -X GET http://MSB_NODE_IP:30280/api/multicloud-k8s/v1/v1/instance/ZKMTSaxv


Create User parameters

We need to create parameters that ultimately get translated as:

"user_directives": {
"attributes": [
"attribute_name": "definition-name",
"attribute_value": "edgex"
"attribute_name": "definition-version",
"attribute_value": "v1"
"attribute_name": "profile-name",
"attribute_value": "profile1"