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@Bharathkumarraju
Forked from pydevops/private-k8s.md
Created June 18, 2021 00:31
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how to set up kubectl on laptop for private GKE cluster and on prem private cluster

HTTP tunnel

On prem k8s cluster set up with bastion vm

  1. Run the bastion vm in your data center or in cloud with connectivity set up (usually vpn) to the on prem data center.
  2. Install tinyproxy on the bastion vm and pick a random port as it would be too easy for spam bot with default 8888, set up as systemd service according to https://nxnjz.net/2019/10/how-to-setup-a-simple-proxy-server-with-tinyproxy-debian-10-buster/. Make sure it works by validating with curl --proxy http://127.0.0.1:<tinyproxy-port> https://httpbin.org/ip. And I don't use any user authentication for proxy, so I locked down the firewall rules with my laptop IP/32.
  3. Download the kubeconfig file for the k8s cluster to your laptop
  4. From your laptop, run
HTTPS_PROXY=<bastion-external-ip>:<tinyproxy-port> KUBECONFIG=my-kubeconfig kubectl get nodes
NAME         STATUS   ROLES                  AGE   VERSION
k8s-node-0   Ready    control-plane,master   32h   v1.20.4
k8s-node-1   Ready    <none>                 32h   v1.20.4
k8s-node-2   Ready    <none>                 32h   v1.20.4
k8s-node-3   Ready    <none>                 32h   v1.20.4
k8s-node-4   Ready    <none>                 32h   v1.20.4
k8s-node-5   Ready    <none>                 32h   v1.20.4

private GKE cluster with HTTP proxy solutions

My own hackish way

Given private GKE cluster with Public endpoint access disabled, here is one hack I did with Cloud IAP SSH forwarding via an internal bastion vm. In this workaroud it is not using any HTTP proxy and no external IP address from user VPC. It works well for one cluster, but I would aim for deploying tinyproxy for more than one cluster as it is a cleaner solution without handling TLS SAN.

create a private GKE cluster

Please refer to https://cloud.google.com/kubernetes-engine/docs/how-to/private-clusters#private_cp for the latest info. e.g.

gcloud container clusters create "$CLUSTER_NAME" \
  --region ${REGION} \
  --network ${NETWORK} \
  --subnetwork ${SUBNET} \
  --cluster-version "$GKE_VERSION" \
  --machine-type "${GKE_NODE_TYPE}" \
  --num-nodes=1 \
  --enable-autoupgrade \
  --enable-autorepair \
  --preemptible \
  --enable-ip-alias \
  --cluster-secondary-range-name=pod-range \
  --services-secondary-range-name=service-range \
  --enable-private-nodes \
  --enable-private-endpoint \
  --enable-master-authorized-networks  \
  --master-ipv4-cidr=172.16.0.64/28

# Get the kubectl credentials for the GKE cluster.
KUBECONFIG=~/.kube/dev gcloud container clusters get-credentials "$CLUSTER_NAME" --region "$REGION"

create a private compute instance "bastion"

with only internal IP

enable and set up Cloud IAP

in GCP console, grant users/group that can access the private instance from the last step

on the laptop, start the SSH forwarding proxy at local port 8443 via CloudIAP tunnel

e.g. 172.16.0.66 is the private master endpoint, The SSH traffic is tunnelled via Cloud IAP in TLS, then port forwarding to the k8s master API endpoint. gcloud beta compute --project ${PROJECT} ssh --zone ${ZONE} "bastion" --tunnel-through-iap --ssh-flag="-L 8443:172.16.0.66:443"

on the laptop, modify the .kube/dev

kubernetes.default and kubernetes are allowed for port server: https://kubernetes.default:8443

on the laptop, modify the /etc/hosts

Please append the following line 127.0.0.1 kubernetes kubernetes.default

on the laptop, happy kubectl from here.

KUBECONFIG=~/.kube/dev kubectl get po --all-namespaces

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