Install dependent tools and verify cluster
This page shows you how to prepare your environment and cluster to install in-cluster Cloud Service Mesh on GKE.
Install required tools
You can run asmcli
on Cloud Shell
or on your local machine running Linux. Cloud Shell pre-installs all
the required tools.
If you are running asmcli
locally, make sure you have the following tools
installed:
- The Google Cloud CLI
- The standard command-line tools:
awk
,curl
,grep
,sed
, andtr
git
kubectl
jq
- (Optional, in order to test connectivity) netcat (
nc
)
Configure gcloud
Do the following steps even if you are using Cloud Shell.
Authenticate with the Google Cloud CLI:
gcloud auth login --project PROJECT_ID
Update the components:
gcloud components update
Configure
kubectl
to point to the cluster.gcloud container clusters get-credentials CLUSTER_NAME \ --location CLUSTER_LOCATION \ --project PROJECT_ID
Download asmcli
This section describes how to download the asmcli
.
Download the version that installs Cloud Service Mesh 1.23.3 to the current working directory:
curl https://storage.googleapis.com/csm-artifacts/asm/asmcli_1.23 > asmcli
Expected output:
% Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 167k 100 167k 0 0 701k 0 --:--:-- --:--:-- --:--:-- 701k
Make the script executable:
chmod +x asmcli
Grant cluster admin permissions
Ensure you have set the context to your user cluster:
kubectl config use-context CONTEXT
Grant cluster admin permissions to your user account (your Google Cloud login email address). You need these permissions to create the necessary role based access control (RBAC) rules for Cloud Service Mesh:
kubectl create clusterrolebinding cluster-admin-binding \ --clusterrole=cluster-admin \ --user=USER_ACCOUNT
Validate project and cluster
You can run asmcli validate
to make sure that your project and cluster are
setup as required to install Cloud Service Mesh. With this option, asmcli
doesn't
make any changes to your project or cluster, and it doesn't install
Cloud Service Mesh.
asmcli
validates that:
Your environment has the required tools.
The cluster meets the minimum requirements.
You have the required permissions on the specified project.
The project has all the required Google APIs enabled.
By default, asmcli
downloads and extracts the installation file and
downloads the
asm
configuration package from GitHub to a temp directory. Before exiting,
asmcli
outputs a message that provides the name of the temp directory.
We recommend that you specify a directory for the downloads with the
--output_dir DIR_PATH
option. The --output_dir
option makes it convenient for you to use the istioctl
command-line tool. You
might need istioctl
for
troubleshooting configuration issues
or
setting up a multi-cluster mesh on private GKE clusters
Additionally, the configuration files to enable optional features using asmcli
are included in the asm/istio/options
directory.
Run the following command to validate your configuration and download the
installation file and asm
package to the OUTPUT_DIR
directory.
./asmcli validate \
--project_id PROJECT_ID \
--cluster_name CLUSTER_NAME \
--cluster_location CLUSTER_LOCATION \
--fleet_id FLEET_PROJECT_ID \
--output_dir DIR_PATH
--project_id
,--cluster_name
, and--cluster_location
Specify the project ID that the cluster is in, the cluster name, and either the cluster zone or region.--fleet_id
The project ID of the fleet host project.asmcli validate
checks that the cluster is registered to the specified fleet.--output_dir
Include this option to specify a directory whereasmcli
downloads theasm
package and extracts the installation file, which containsistioctl
, samples, and manifests. Otherwiseasmcli
downloads the files to atmp
directory. You can specify either a relative path or a full path. The environment variable$PWD
doesn't work here.
On success, asmcli
outputs the following:
asmcli: Setting up necessary files... asmcli: Using asm_kubeconfig as the kubeconfig... asmcli: Checking installation tool dependencies... asmcli: Fetching/writing GCP credentials to kubeconfig file... asmcli: Verifying connectivity (10s)... asmcli: kubeconfig set to asm_kubeconfig asmcli: using context gke_example-project-12345_us-central1_cluster-2 asmcli: Getting account information... asmcli: Downloading ASM.. asmcli: Downloading ASM kpt package... fetching package "/asm" from "https://github.com/GoogleCloudPlatform/anthos-service-mesh-packages" to "asm" asmcli: Checking required APIs... asmcli: Checking for project example-project-12345... asmcli: Reading labels for us-central1/cluster-2... asmcli: Checking for istio-system namespace... asmcli: Confirming node pool requirements for example-project-12345/us-central1/cluster-2... asmcli: Checking Istio installations... asmcli: [WARNING]: There is no way to validate that the meshconfig API has been initialized. asmcli: [WARNING]: This needs to happen once per GCP project. If the API has not been initialized asmcli: [WARNING]: for example-project-12345, please re-run this tool with the --enable_gcp_components asmcli: [WARNING]: flag. Otherwise, installation will succeed but Anthos Service Mesh asmcli: [WARNING]: will not function correctly. asmcli: Successfully validated all requirements to install ASM.
If one of the tests fails the validation, asmcli
outputs an error message.
For example, if your project doesn't have all of the required Google APIs
enabled, you see the following error:
ERROR: One or more APIs are not enabled. Please enable them and retry, or run `asmcli` with the '--enable_gcp_apis' flag to allow `asmcli` to enable them on your behalf.
If you got an error message about needing to run asmcli
with an
enablement flag,
you have the following options:
Include the specific flag from the error message or the
--enable_all
flag when runningasmcli
to do the actual installation.If you prefer, you can update your project and cluster yourself before running
asmcli
as described in Set up your project and GKE cluster yourself.
Note that asmcli validate
doesn't allow any enablement flags because it only
validates that your project and cluster are ready for installation.
Inspect cluster install and upgrade requirements
Before upgrading you should check that your configuration is compatible with the new version of Cloud Service Mesh.
Change to the directory that you specified in
--output_dir
.Run the following command to inspect the Kubernetes cluster for install and upgrade requirements. Make sure you use the version of
istioctl
distributed with the new Cloud Service Mesh version.istioctl experimental precheck