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meta-azure-service-broker-helm

NOTICE: the instructions herein related to service-catalog are out of date and DEPRECATED. For updated instructions, please see the service-catalog install documentation and the service-catalog walkthrough documentation

This repository contains charts and instructions for a demo of service-catalog with the Azure Meta Service Broker.

It currently shows how to install and set up Service Catalog and the Azure broker, and how to provision and bind to Azure Redis and Azure Postgres services.

Note that the instructions herein don't necessarily reflect a production-quality installation, but they should get you started down that path. They also assume you are using a Kubernetes cluster in a cloud. They have been tested with Azure Container Service.

Prereqs

  • Start a cluster as normal
  • Make sure you are using Helm v2.4.2 or newer. These charts utilize a feature that's only available as of that version
  • Initialize Helm/Tiller as normal (helm init)

Installing Service-Catalog

First, check out the service-catalog repository and cd into the repository directory:

git clone https://github.com/kubernetes-incubator/service-catalog.git
cd service-catalog

Next, use Helm to install it:

helm install charts/catalog --name catalog --namespace catalog --set apiserver.service.type=LoadBalancer,apiserver.storage.type=tpr

(notice the apiserver.service.type=LoadBalancer. I am doing this so that the Service for the service-catalog API server gets a public IP on the ACS cluster)

Next, get the IP of the service, under the EXTERNAL-IP column, and assign that value to SVC_CAT_API_SERVER_IP:

kubectl get svc -n catalog
export SVC_CAT_API_SERVER_IP=<EXTERNAL-IP>

Next, set up a kubectl context to communicate with the service-catalog API server:

kubectl config set-cluster service-catalog --server=http://$SVC_CAT_API_SERVER_IP:80
kubectl config set-context service-catalog --cluster=service-catalog

Create a Service Principal

This content is copied from https://gist.github.com/krancour/98a3e4a1e1000b7dbe0373f223706b68#create-a-service-principal

It is necessary to create a service principal (this is ActiveDirectory speak for "service account") having adequate permission to provision services into your Azure subscription.

Get the subscription ID by running az account list and selecting the "id" field from the account that you'd like to use for this demo.

export SUB_ID=<subscriptionId>
az account set --subscription $SUB_ID
az ad sp create-for-rbac \
    --role="Contributor" --scopes="/subscriptions/$SUB_ID"

You will see output similar to the following:

{
  "appId": "039dda10-fccc-4293-96d5-2535da19b9a7",
  "displayName": "azure-cli-2017-05-19-19-21-21",
  "name": "http://azure-cli-2017-05-19-19-21-21",
  "password": "<redacted>",
  "tenant": "72f988bf-86f1-41af-91ab-2d7cd011db47"
}

For convenience, save these as environment variables because you'll need them later.

$ export TENANT_ID=<tenant>
$ export CLIENT_ID=<appId>
$ export CLIENT_SECRET=<password>

Finally, register the subscription to use the Redis service:

az provider register -n Microsoft.Cache
az provider register -n Microsoft.DBforPostgreSQL

After that runs, you'll see the following output:

Registering is still on-going. You can monitor using 'az provider show -n Microsoft.Cache'

Run the following commands until you see registrationState: "Registered" under both:

az provider show -n Microsoft.Cache -o table
az provider show -n Microsoft.DBforPostgreSQL -o table

Install the Meta Azure Service Broker

There are helm charts in this repository for the Azure meta service broker. To install it, simply run the following command from the root of this repository:

helm install charts/meta-azure-service-broker \
    --name masb \
    --namespace masb \
    --set azure.subscriptionId=$SUB_ID,azure.tenantId=$TENANT_ID,azure.clientId=$CLIENT_ID,azure.clientSecret=$CLIENT_SECRET,sql-server.acceptLicense=true,sql-server.persistence.enabled=false

This command starts up a pod running SQL Server and a pod running the Azure service broker. SQL server takes a few minutes to start up completely, and the broker contains an init container that waits for it to be available, so the complete system will take some time to be completely available.

Register the Broker with Service Catalog

Service Catalog looks for Broker resources in Kubernetes to point it to a new broker server. After it sees one, it makes a request to the broker server to fetch its catalog. This repository has a masb-broker.yaml file in the resources/ directory that specifies the Broker for the Azure broker we just started in the cluster.

To create this Broker resource, run the following kubectl command:

kubectl --context service-catalog create -f resources/masb-broker.yaml

(Note: we are running our broker in the same cluster as the service-catalog, but in general, brokers can run anywhere as long as they're accessible over HTTP)

View Service Classes

After the Broker is submitted, Service Catalog will fetch all of the services and plans that the Azure meta service broker provides. It will then convert these services and plans into ServiceClass resources in Kubernetes and store them. After they're stored, they are in the catalog of services.

This entire process happens automatically, so a few seconds after you create the Broker, the catalog will be populated. Run the following command after you create the Broker to see the catalog:

kubectl --context=service-catalog get serviceclass

You should output similar to the following:

NAME               KIND                                          BINDABLE   BROKER NAME   DESCRIPTION
azure-documentdb   ServiceClass.v1alpha1.servicecatalog.k8s.io   true       masb          Azure DocumentDb Service
azure-postgresqldb   ServiceClass.v1alpha1.servicecatalog.k8s.io   3 item(s)   true      masb
azure-rediscache   ServiceClass.v1alpha1.servicecatalog.k8s.io   true      masb      Azure Redis Cache Service
azure-servicebus   ServiceClass.v1alpha1.servicecatalog.k8s.io   2 item(s)   true      masb
azure-sqldb   ServiceClass.v1alpha1.servicecatalog.k8s.io   true      masb      Azure SQL Database Service
azure-storage   ServiceClass.v1alpha1.servicecatalog.k8s.io   2 item(s)   true      masb

Provision a New Service

After ServieClasses are listed in the catalog, you can provision instances of them. Conveniently, you submit an Instance resource to the Service Catalog API server in order to provision a service.

Unlike Brokers and ServiceClasses above, Instances are namespaced, so we'll have to create a new Kubernetes namespace for them. Do so with this command:

kubectl create ns testing

After you've created the namespace, you can create the Instance for the service that you'd like to provision. This repository provides the following manifests for Instances:

  • resources/redis-instance.yaml
  • resources/postgres-instance.yaml

To provision a Redis instance, for example, run this command:

kubectl --context=service-catalog create -f resources/redis-instance.yaml

Next, view the newly created Redis Instance with this command:

kubectl get instance --context=service-catalog -o yaml -n testing my-redis

A large amount of YAML will be output, but the important bits are under the status.conditions[0] field (near the bottom).

Since the Azure redis service takes a few minutes to create new caches, the Azure broker provisions them asynchronously. As a result, you'll see the following under the first condition:

message: The instance is being provisioned asynchronously
reason: Provisioning
status: "False"
type: Ready

Wait until the reason field reads ProvisionedSuccessfully and the status field reads "True" before moving on to the next step.

You should see similar behavior for Azure Postgres.

Bind to the new Instance

Our last step is to bind to the instance. In doing so, service-catalog will get back some credentials that it will write into a Secret.

Since we provisioned Redis in the previous section, we'll bind to it with this command:

kubectl --context=service-catalog create -f resources/redis-binding.yaml

This command will create a Secret called my-redis-creds in the same namespace as the Binding. To see it, run this command:

kubectl get secret -n testing

After this secret is created, our application can use its contents to access its newly provisioned redis instance.