GKE PoC Toolkit

The GKE Proof of Concept (PoC) Toolkit is a demo generator for Google Kubernetes Engine.

Quickstart

1. Create a Google Cloud Project and connect it to an existing Billing account.
2. Open a bash-compatible shell (eg. Google Cloud Shell) and ensure you have the following tools installed:

• Google Cloud SDK version >= 325.0.0
• • Terraform >= 0.13
• kubectl ( >= v1.20)

3. Set your Project ID environment variable and operating system.

export PROJECT_ID=<your-project-id>
export OS="darwin" # choice of darwin or amd64 

4. Set up local authentication to your project.

gcloud config set project $PROJECT_ID
gcloud auth login
gcloud auth application-default login

5. Download the GKE PoC Toolkit binary.

mkdir gke-poc-toolkit && cd "$_"
VERSION=$(curl -s https://api.github.com/repos/GoogleCloudPlatform/gke-poc-toolkit/releases/latest | grep browser_download_url | cut -d "/" -f 8 | tail -1)
curl -sLSf -o ./gkekitctl https://github.com/GoogleCloudPlatform/gke-poc-toolkit/releases/download/${VERSION}/gkekitctl-${OS} && chmod +x ./gkekitctl

6. Initialize the cli:

./gkekitctl init

7. Run gkekitctl apply to run the Toolkit. By default, this command sets up a single-cluster GKE environment. (Configuration here). Enter your project ID when prompted.

./gkekitctl apply

# expected output 
INFO[0000] ☸️ ----- GKE POC TOOLKIT ----- 🛠
INFO[0000] Enter your Google Cloud Project ID:

This command takes about 10 minutes to run; when it completes, you will have a full GKE demo environment ready to explore and deploy applications to.

# Expected output on successful run 
Apply complete! Resources: 61 added, 0 changed, 0 destroyed.
time="2022-02-04T21:57:59Z" level=info msg="🔄 Finishing ACM install..."
time="2022-02-04T21:57:59Z" level=info msg="☸️ Generating Kubeconfig..."
time="2022-02-04T21:57:59Z" level=info msg="Clusters Project ID is gpt-e2etest-020422-214428"
time="2022-02-04T21:58:00Z" level=info msg="Connecting to cluster: gke_gpt-e2etest-020422-214428_us-central1_gke-central,"
time="2022-02-04T21:58:00Z" level=info msg="✔️ Kubeconfig generated: &{Kind:Config APIVersion:v1 Preferences:{Colors:false Extensions:map[]} Clusters:map[gke_gpt-e2etest-020422-214428_us-central1_gke-central:0xc000844900] AuthInfos:map[gke_gpt-e2etest-020422-214428_us-central1_gke-central:0xc0008a23c0] Contexts:map[gke_gpt-e2etest-020422-214428_us-central1_gke-central:0xc0012bad20] CurrentContext: Extensions:map[]}"
time="2022-02-04T21:58:00Z" level=info msg="☸️  Verifying Kubernetes API access for all clusters..."
time="2022-02-04T21:58:00Z" level=info msg="🌎 5 Namespaces found in cluster=gke_gpt-e2etest-020422-214428_us-central1_gke-central"

Update

If you want to update your environment change the config file and re-run the apply command. This is a great way to add or remove clusters.

## Local tf state 
./gkekitctl apply --config <"config file name">

## If you are using remote TF state 
./gkekitctl apply --config <"config file name"> --gkestate <"bucket name used for state file"> --vpcstate <"if using sharevpc, bucket name for shared vpc state file">

Clean up

./gkekitctl delete

Learn More

• 🤔 FAQ
• ✏️ Configuration: how to customize your Toolkit environment
• 📦 Building Demos with the Toolkit
• 🗺 Architecture
• 📊 Analytics