Configuring Edge-LB to Connect to Kubernetes

To connect to your Kubernetes cluster from outside your DC/OS cluster, you will now need to set up and configure the Edge-LB service for inbound load-balancing to your private Kubernetes cluster.

To set up Edge-LB for DC/OS Kubernetes you will need to:

• Configure Edge-LB on your cluster and deploy the configured pool for Kubernetes including:
  • setting up a service account for Edge-LB
  • installing Edge-LB, including the CLI plugin

Set up and Install Edge-LB with service account

1. First, add the Edge-LB repositories, replacing the download links with the latest available binaries, this example links to DC/OS Edge-LB 1.2.3:

   dcos package repo add --index=0 edgelb https://<insert download link>/stub-universe-edgelb.json
   dcos package repo add --index=0 edgelb-pool https://<insert download link>/stub-universe-edgelb-pool.json
   

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   IMPORTANT: If you wish to download the repositories from the support site using your browser, you will need to be logged in with an enterprise customer service account.

2. Next, create an Edge-LB service account:

   dcos security org service-accounts keypair edge-lb-private-key.pem edge-lb-public-key.pem
   dcos security org service-accounts create -p edge-lb-public-key.pem -d "Edge-LB service account" edge-lb-principal
   dcos security org service-accounts show edge-lb-principal
   dcos security secrets create-sa-secret --strict edge-lb-private-key.pem edge-lb-principal dcos-edgelb/edge-lb-secret
   dcos security org groups add_user superusers edge-lb-principal
   

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3. Then, create an options JSON file to install Edge-LB with its service account.

   Here we create edge-lb-options.json and add the following configuration snippet:

   {
       "service": {
           "secretName": "dcos-edgelb/edge-lb-secret",
           "principal": "edge-lb-principal",
           "mesosProtocol": "https"
       }
   }
   

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   Save the file.

4. Lastly, install the edgelb package on your DC/OS Enterprise cluster.

   In your CLI, enter:

   dcos package install --options=edge-lb-options.json edgelb --yes
   

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Create and launch an Edge-LB configured pool deployment for your Kubernetes services

1. Next, save the following Kubernetes/Edge-LB Service configuration as edgelb.json.

   Copy for your convenience:

   {
       "apiVersion": "V2",
       "name": "edgelb-kubernetes-cluster-proxy-basic",
       "count": 1,
       "autoCertificate": true,
       "haproxy": {
           "frontends": [{
                   "bindPort": 6443,
                   "protocol": "HTTPS",
                   "certificates": [
                       "$AUTOCERT"
                   ],
                   "linkBackend": {
                       "defaultBackend": "kubernetes-cluster1"
                   }
               },
               {
                   "bindPort": 6444,
                   "protocol": "HTTPS",
                   "certificates": [
                       "$AUTOCERT"
                   ],
                   "linkBackend": {
                       "defaultBackend": "kubernetes-cluster2"
                   }
               }
           ],
           "backends": [{
                   "name": "kubernetes-cluster1",
                   "protocol": "HTTPS",
                   "services": [{
                       "mesos": {
                           "frameworkName": "kubernetes-cluster1",
                           "taskNamePattern": "kube-control-plane"
                       },
                       "endpoint": {
                           "portName": "apiserver"
                       }
                   }]
               },
               {
                   "name": "kubernetes-cluster2",
                   "protocol": "HTTPS",
                   "services": [{
                       "mesos": {
                           "frameworkName": "kubernetes-cluster2",
                           "taskNamePattern": "kube-control-plane"
                       },
                       "endpoint": {
                           "portName": "apiserver"
   
                       }
                   }]
               }
           ],
           "stats": {
               "bindPort": 6090
           }
       }
   }
   

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   and paste in the file using your text editor.

2. Next, deploy the Edge-LB configured pool for your Kubernetes service:

   In your CLI, enter:

   dcos edgelb create edgelb.json
   

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3. List your Edge-LB configured pools.

   dcos edgelb list
   

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   and confirm your output looks similar to the following:

   $ dcos edgelb list
   NAME                                   APIVERSION  COUNT  ROLE          PORTS
   edgelb-kubernetes-cluster-proxy-basic  V2          1      slave_public  6090, 6443, 6444
   

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4. Check that the status of your Edge-LB deployment is in TASK_RUNNING state (under STATE):

   dcos edgelb status edgelb-kubernetes-cluster-proxy-basic
   

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   The responding output should look like the following:

   $ dcos edgelb status edgelb-kubernetes-cluster-proxy-basic
   NAME                  TASK ID                                                     STATE
   edgelb-pool-0-server  edgelb-pool-0-server__a6e4b1a1-e63c-4579-a27e-a54328f31321  TASK_RUNNING
   

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5. Find the public IP of the deployment:

   dcos task exec -it edgelb-pool-0-server curl ifconfig.co
   

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6. Save the IP as a variable:

   export EDGELB_PUBLIC_AGENT_IP=<output_of_above>
   

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Next Step: Test Kubernetes connections and view the Kubernetes dashboard

Now you have configured Edge-LB to connect to your Kubernetes clusters. In the last section, you will test connections and view the Kubernetes Dashboard via a web proxy on your browser.