Using Role-based Access Control in Kubernetes Engine Reviews

19927 reviews

Lee N. · Reviewed over 6 years ago

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林昭賢 林. · Reviewed over 6 years ago

Mohammed Azfar .. · Reviewed over 6 years ago

Narendra M. · Reviewed over 6 years ago

I'm running into an issue retrieving the latest_node_version (errors on line 19 and 90 of main.tf) when running make create, which means I'm unable to complete the deployment.

David M. · Reviewed over 6 years ago

I do twice time this lab with encountered 2 errors : Error: Error retrieving available container cluster versions: Get https://container.googleapis.com/v1beta1/projects/qwiklabs-gcp-00-00eb0d00f0f3/locations/us-central1-a/serverConfig?alt=json&prettyPrint=false: Get http://169.254.169.254/computeMetadata/v1/instance/service-accounts/default/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcompute%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fndev.clouddns.readwrite%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdevstorage.full_control: dial tcp 169.254.169.254:80: i/o timeout on main.tf line 19, in data "google_container_engine_versions" "on-prem": 19: data "google_container_engine_versions" "on-prem" { Error: Error running command 'gcloud compute scp --project qwiklabs-gcp-00-017fdd29d477 --zone us-central1-a --recurse modules/instance/manifests gke-tutorial-owner:': exit status 1. Output: ssh: connect to host 35.226.105.92 port 22: Connection timed out lost connection ERROR: (gcloud.compute.scp) [/usr/bin/scp] exited with return code [1]. So i tried the 3th time, and it's succeeded !

Eryk H. · Reviewed over 6 years ago

Eryk H. · Reviewed over 6 years ago

Eryk H. · Reviewed over 6 years ago

Dennis J. · Reviewed over 6 years ago

Adarsh K. · Reviewed over 6 years ago

Gustavo R. · Reviewed over 6 years ago

Monique V. · Reviewed over 6 years ago

Dipak P. · Reviewed over 6 years ago

Hima A. · Reviewed over 6 years ago

Sreenivas M. · Reviewed over 6 years ago

Tan W. · Reviewed over 6 years ago

Madhu C. · Reviewed over 6 years ago

This lab is very difficult to accomplish. I spent a considerable amount of time across multiple attempts to finally get this working. Just to get the initial environment created requires making three - possibly four - changes in the main.tf file: - line 20, change 'zone' to 'location' - line 87, change 'zone' to 'location' - line 132, add a new line after line 132 and add 'enable_private_endpoint = false' - maybe optional, in the resource "google_container_cluster" add the following timeouts arguments: ... timeouts { create = "60m" update = "60m" delete = "60m" } ... Once those were complete, I was finally able to create the initial GKE cluster environment. The information and exercises presented are valuable. It demonstrates how RBAC affects access to resources in GCP and GKE. It also demonstrates the impact of misconfigured RBAC rules. If only it was not so painful to complete this lab though!

Alex T. · Reviewed over 6 years ago

This lab is very difficult to accomplish. I spent a considerable amount of time across multiple attempts to finally get this working. Just to get the initial environment created requires making three - possibly four - changes in the main.tf file: - line 20, change 'zone' to 'location' - line 87, change 'zone' to 'location' - line 132, add a new line after line 132 and add 'enable_private_endpoint = false' - maybe optional, in the resource "google_container_cluster" add the following timeouts arguments: ... timeouts { create = "60m" update = "60m" delete = "60m" } ... Once those were complete, I was finally able to create the initial GKE cluster environment.

Alex T. · Reviewed over 6 years ago

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