Skip to content

Latest commit

 

History

History
279 lines (245 loc) · 10.2 KB

deploy_infoblox.md

File metadata and controls

279 lines (245 loc) · 10.2 KB

General deployment with Infoblox integration

Prologue

For simplicity let's assume that you operate two geographically distributed clusters you want to enable global load-balancing for. In this example, two local clusters will represent those two distributed clusters.

  • Let's switch the context to the first cluster
export KUBECONFIG=eu-cluster
  • Copy the default values.yaml from k8gb chart to any convenient location, e.g.
cp chart/k8gb/values.yaml ~/k8gb/eu-cluster.yaml
  • Modify the example configuration. Important parameters described below:
    • dnsZone - this zone will be delegated to the edgeDNS in your environment. E.g. yourzone.edgedns.com

    • edgeDNSZone - this zone will be automatically configured by k8gb to delegate to dnsZone and will make k8gb controlled nodes act as authoritative server for this zone. E.g. edgedns.com

    • edgeDNSServers stable DNS servers in your environment that is controlled by edgeDNS provider e.g. Infoblox so k8gb instances will be able to talk to each other through automatically created DNS names

    • clusterGeoTag to geographically tag your cluster. We are operating eu cluster in this example

    • extGslbClustersGeoTags contains Geo tag of the cluster(s) to talk with when k8gb is deployed to multiple clusters. Imagine your second cluster is us so we tag it accordingly

    • infoblox.enabled: true to enable automated zone delegation configuration at edgeDNS provider. You don't need it for local testing and can optionally be skipped. Meanwhile, in this section we will cover a fully operational end-to-end scenario. The other parameters do not need to be modified unless you want to do something special. E.g. to use images from private registry

    • Export Infoblox related information in the shell.

export WAPI_USERNAME=<WAPI_USERNAME>
export WAPI_PASSWORD=<WAPI_PASSWORD>
  • Create the Infoblox secret which is used by k8gb to configure edgeDNS by running:
kubectl create ns k8gb
make infoblox-secret
  • Expose associated k8gb CoreDNS service for DNS traffic on worker nodes.

    Check this document for detailed information.

  • Let's deploy k8gb to the first cluster. Most of the helper commands are abstracted by GNU make. If you want to look under the hood please check the Makefile. In general, standard Kubernetes/Helm commands are used. Point deployment mechanism to your custom values.yaml

make deploy-gslb-operator VALUES_YAML=~/k8gb/eu-cluster.yaml
  • It should deploy k8gb pretty quickly. Let's check the pod status
 kubectl -n k8gb get pod
NAME                                                       READY   STATUS     RESTARTS   AGE
k8gb-76cc56b55-t779s                                       1/1     Running    0          39s
k8gb-coredns-799984c646-qz88m                              1/1     Running    0          41s
  • Deploy k8gb to the second cluster by repeating the same steps with the exception of:

    • Switch context to 2nd cluster with export KUBECONFIG=us-cluster
    • Create another custom values.yaml with cp ~/k8gb/eu-cluster.yaml ~/k8gb/us-cluster.yaml
    • Create another geo tag to enable cross cluster communication:
      • clusterGeoTag becomes us
      • extGslbClustersGeoTags becomes eu
    • Run the installation pointing to new values file make deploy-gslb-operator VALUES_YAML=~/k8gb/us-cluster.yaml
  • When your 2nd cluster is ready by checking with kubectl -n k8gb get pod, we can proceed with the sample application installation

  • We will use well known testing community app of podinfo

helm repo add podinfo https://stefanprodan.github.io/podinfo
kubectl create ns test-gslb
helm upgrade --install podinfo --namespace test-gslb --set ui.message="us" podinfo/podinfo

As you can see above we did set special geo tag message in podinfo configuration matching cluster geo tag. It is just for demonstration purposes.

  • Check that podinfo is running
kubectl -n test-gslb get pod
NAME                       READY   STATUS    RESTARTS   AGE
podinfo-5cfcdc9c45-jbg96   1/1     Running   0          2m18s
  • Let's create Gslb CRD to enable global load balancing for this application. Notice the podinfo Service name
kubectl -n test-gslb get svc
NAME            TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)             AGE
podinfo         ClusterIP   10.96.250.84    <none>        9898/TCP,9999/TCP   9m39s
  • Create a custom resource ~/k8gb/podinfogslb.yaml describing Gslb as per the sample below:
apiVersion: k8gb.absa.oss/v1beta1
kind: Gslb
metadata:
  name: podinfo
  namespace: test-gslb
spec:
  ingress:
    ingressClassName: nginx
    rules:
      - host: podinfo.cloud.example.com
        http:
          paths:
          - path: /
            backend:
              service:
                name: podinfo # This should point to Service name of testing application
                port:
                  name: http

  strategy:
    type: roundRobin # Use a round robin load balancing strategy, when deciding which downstream clusters to route clients too
  • And apply the resource in the target app namespace
kubectl -n test-gslb apply -f podinfogslb.yaml
gslb.k8gb.absa.oss/podinfo created
  • Check Gslb resource
kubectl -n test-gslb get gslb
NAME      AGE
podinfo   39s
  • Check Gslb resource status
kubectl -n test-gslb describe gslb
Name:         podinfo
Namespace:    test-gslb
Labels:       <none>
Annotations:  API Version:  k8gb.absa.oss/v1beta1
Kind:         Gslb
Metadata:
  Creation Timestamp:  2020-06-24T22:51:09Z
  Finalizers:
    k8gb.absa.oss/finalizer
  Generation:        1
  Resource Version:  14197
  Self Link:         /apis/k8gb.absa.oss/v1beta1/namespaces/test-gslb/gslbs/podinfo
  UID:               86d4121b-b870-434e-bd4d-fece681116f0
Spec:
  Ingress:
    Rules:
      Host:  podinfo.cloud.example.com
      Http:
        Paths:
          Backend:
            Service Name:  podinfo
            Service Port:  http
          Path:            /
  Strategy:
    Type:  roundRobin
Status:
  Geo Tag:  us
  Healthy Records:
    podinfo.cloud.example.com:
      172.17.0.10
      172.17.0.7
      172.17.0.8
  Service Health:
    podinfo.cloud.example.com:  Healthy
Events:                         <none>
  • In the output above you should see that Gslb detected the Healthy status of underlying podinfo standard Kubernetes Service

  • Check that internal k8gb DNS servers are responding accordingly on this cluster

    • Pick one of the worker nodes to test with
      k get nodes -o wide
      NAME                       STATUS   ROLES    AGE   VERSION   INTERNAL-IP   EXTERNAL-IP   OS-IMAGE       KERNEL-VERSION     CONTAINER-RUNTIME
      test-gslb2-control-plane   Ready    master   53m   v1.17.0   172.17.0.9    <none>        Ubuntu 19.10   4.19.76-linuxkit   containerd://1.3.2
      test-gslb2-worker          Ready    <none>   52m   v1.17.0   172.17.0.8    <none>        Ubuntu 19.10   4.19.76-linuxkit   containerd://1.3.2
      test-gslb2-worker2         Ready    <none>   52m   v1.17.0   172.17.0.7    <none>        Ubuntu 19.10   4.19.76-linuxkit   containerd://1.3.2
      test-gslb2-worker3         Ready    <none>   52m   v1.17.0   172.17.0.10   <none>        Ubuntu 19.10   4.19.76-linuxkit   containerd://1.3.2
    • Use dig to make a DNS query to it
      dig +short @172.17.0.10 podinfo.cloud.example.com
      172.17.0.8
      172.17.0.10
      172.17.0.7
    • One of your workers should already return DNS responses constructed by Gslb based on service health information
    • If edgeDNS was configured you can query your standard infra DNS directly and it should return the same
      dig +short podinfo.cloud.example.com
      172.17.0.8
      172.17.0.10
      172.17.0.7
  • Now it's time to deploy this application to the first eu cluster. The steps and configuration are exactly the same. Just changing ui.message to eu

kubectl create ns test-gslb
helm upgrade --install podinfo --namespace test-gslb --set ui.message="eu" podinfo/podinfo
  • Apply exactly the same Gslb definition
kubectl -n test-gslb apply -f podinfogslb.yaml
  • Check the Gslb resource status.
k -n test-gslb describe gslb podinfo
Name:         podinfo
Namespace:    test-gslb
Labels:       <none>
Annotations:  API Version:  k8gb.absa.oss/v1beta1
Kind:         Gslb
Metadata:
  Creation Timestamp:  2020-06-24T23:25:08Z
  Finalizers:
    k8gb.absa.oss/finalizer
  Generation:        1
  Resource Version:  23881
  Self Link:         /apis/k8gb.absa.oss/v1beta1/namespaces/test-gslb/gslbs/podinfo
  UID:               a5ab509b-5ea2-49d6-982e-4129a8410c3e
Spec:
  Ingress:
    Rules:
      Host:  podinfo.cloud.example.com
      Http:
        Paths:
          Backend:
            Service Name:  podinfo
            Service Port:  http
          Path:            /
  Strategy:
    Type:  roundRobin
Status:
  Geo Tag:  eu
  Healthy Records:
    podinfo.cloud.example.com:
      172.17.0.3
      172.17.0.5
      172.17.0.6
      172.17.0.8
      172.17.0.10
      172.17.0.7
  Service Health:
    podinfo.cloud.example.com:  Healthy
Events:                         <none>
  • Ideally you should already see that Healthy Records of podinfo.cloud.example.com return the records from both of the clusters. Otherwise, give it a couple of minutes to sync up.

  • Now you can check the DNS responses the same way as before.

dig +short podinfo.cloud.example.com
172.17.0.8
172.17.0.5
172.17.0.10
172.17.0.7
172.17.0.6
172.17.0.3
  • And for the final end-to-end test, we can use curl to query the application
curl -s podinfo.example.com|grep message
  "message": "eu",

curl -s podinfo.example.com|grep message
  "message": "us",

curl -s podinfo.example.com|grep message
  "message": "us",

curl -s podinfo.example.com||grep message
  "message": "eu",
  • As you can see specially marked podinfo returns different geo tags showing us the Global Round Robin strategy is working as expected

Hope you enjoyed the ride!

If anything unclear or is going wrong, feel free to contact us at https://github.com/k8gb-io/k8gb/issues. We will appreciate any feedback/bug report and Pull Requests are welcome.

For more advanced technical documentation and fully automated local installation steps, see below.