gem-cloud-run-caddy-website

Activate Cloud Shell
Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.
- Click Activate Cloud Shell
at the top of the Google Cloud console.
When you are connected, you are already authenticated, and the project is set to your PROJECT_ID. The output contains a line that declares the PROJECT_ID for this session:
Your Cloud Platform project in this session is set to YOUR_PROJECT_ID
gcloud
is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.
- (Optional) You can list the active account name with this command:
gcloud auth list
-
Click Authorize.
-
Your output should now look like this:
Output:
ACTIVE: *
ACCOUNT: student-01-xxxxxxxxxxxx@qwiklabs.net
To set the active account, run:
$ gcloud config set account `ACCOUNT`
- (Optional) You can list the project ID with this command:
gcloud config list project
Output:
[core]
project = <project_ID>
Example output:
[core]
project = qwiklabs-gcp-44776a13dea667a6
Note: For full documentation of gcloud
, in Google Cloud, refer to the gcloud CLI overview guide.
Overview
In this lab, you'll learn how to deploy a static website using Caddy V2 on Google Cloud Run. Caddy is a powerful, enterprise-ready, open source web server with automatic HTTPS. We'll containerize Caddy with your static website and deploy it to Cloud Run using Artifact Registry for container image storage.
Task 1. Set up your environment
Configure your Google Cloud environment for this lab.
- Set your Project ID. Replace with your Project ID.
gcloud config set project {{{ project_0.project_id | "PROJECT_ID" }}}
Note:
This command sets your active project identity.
- Set your default region. Replace with your desired region (e.g.,
us-central1
).
gcloud config set run/region {{{ project_0.default_region | "REGION" }}}
Note:
This command sets your active cloud run region.
- Enable the Cloud Run, Artifact Registry, and Cloud Build APIs.
gcloud services enable run.googleapis.com artifactregistry.googleapis.com cloudbuild.googleapis.com
Note:
This command enables the necessary APIs for this lab.
Task 2. Create an Artifact Registry repository
Create a Docker repository in Artifact Registry to store the Caddy container image.
- Create a Docker repository named 'caddy-repo' in Artifact Registry. Replace with your desired region.
gcloud artifacts repositories create caddy-repo --repository-format=docker --location={{{ project_0.default_region | "REGION" }}} --description="Docker repository for Caddy images"
Note:
This command creates an Artifact Registry repository.
Task 3. Create the static website and Caddyfile
Create a simple static website and configure Caddy to serve it.
- Create an
index.html
file with the following content:
<html>
<head>
<title>My Static Website</title>
</head>
<body>
<div>Hello from Caddy on Cloud Run!</div>
<p>This website is served by Caddy running in a Docker container on Google Cloud Run.</p>
</body>
</html>
Note:
This is the HTML content for your static website.
- Create a
Caddyfile
with the following content:
:8080
root * /usr/share/caddy
file_server
Note:
This Caddyfile configures Caddy to serve files from the `/usr/share/caddy` directory on port 8080.
Task 4. Create the Dockerfile
Define the Docker image for Caddy and your static website.
- Create a
Dockerfile
with the following content:
FROM caddy:2-alpine
WORKDIR /usr/share/caddy
COPY index.html .
COPY Caddyfile /etc/caddy/Caddyfile
Note:
This Dockerfile uses the official Caddy Alpine image, sets the working directory, and copies your website and Caddyfile.
Task 5. Build and push the Docker image
Build the Docker image and push it to Artifact Registry.
- Build the Docker image. Replace and with your region and project ID.
docker build -t {{{ project_0.default_region | "REGION" }}}-docker.pkg.dev/{{{ project_0.project_id | "PROJECT_ID" }}}/caddy-repo/caddy-static:latest .
Note:
This command builds the Docker image and tags it with the Artifact Registry repository URL.
- Push the Docker image to Artifact Registry.
docker push {{{ project_0.default_region | "REGION" }}}-docker.pkg.dev/{{{ project_0.project_id | "PROJECT_ID" }}}/caddy-repo/caddy-static:latest
Note:
This command pushes the Docker image to Artifact Registry.
Task 6. Deploy to Cloud Run
Deploy the container image to Cloud Run.
- Deploy the service to Cloud Run. Replace and with your region and project ID.
gcloud run deploy caddy-static --image {{{ project_0.default_region | "REGION" }}}-docker.pkg.dev/{{{ project_0.project_id | "PROJECT_ID" }}}/caddy-repo/caddy-static:latest --platform managed --allow-unauthenticated
Note:
This command deploys the Docker image to Cloud Run and allows unauthenticated access.
- When prompted, confirm the service name as
caddy-static
and allow unauthenticated invocations.
Note:
This configures the service name and permissions.
- Note the service URL provided by Cloud Run.
Note:
This is the URL where your static website is accessible.
Task 7. Access your website
Access the deployed website through the Cloud Run service URL.
- Open the Cloud Run service URL in your web browser.
Note:
Verify that your static website is displayed correctly.
Congratulations!
You have successfully deployed a static website using Caddy V2 on Google Cloud Run! You learned how to containerize a web server with your static content, store the image in Artifact Registry, and deploy it to Cloud Run for automatic scaling and management. Next steps include exploring Caddy's advanced features and integrating Cloud Run with other Google Cloud services.
Additional Resources
Manual Last Updated Jun 23, 2025
Lab Last Tested Jun 23, 2025