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dagger/docs/learn/106-cloudrun.md
Tihomir Jovicic 31714de4e3 Update Cloud Run docs
Signed-off-by: Tihomir Jovicic <tihomir.jovicic.develop@gmail.com>
2021-07-05 12:40:45 +02:00

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---
slug: /learn/106-cloudrun
---
# Dagger 106: deploy to Cloud Run
This tutorial illustrates how to use Dagger to build, push and deploy Docker images to Cloud Run.
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
## Initialize a Dagger Workspace and Environment
### (optional) Setup example app
You will need the local copy of the [Dagger examples repository](https://github.com/dagger/examples) used in previous guides
```shell
git clone https://github.com/dagger/examples
```
Make sure that all commands are being ran from the todoapp directory:
```shell
cd examples/todoapp
```
### (optional) Initialize a Cue module
In this guide we will use the same directory as the root of the Dagger workspace and the root of the Cue module; but you can create your Cue module anywhere inside the Dagger workspace.
```shell
cue mod init
```
### Organize your package
Let's create a new directory for our Cue package:
```shell
mkdir cue.mod/gcpcloudrun
```
### Create a basic plan
```cue title="todoapp/cue.mod/gcpcloudrun/source.cue"
package gcpcloudrun
import (
"alpha.dagger.io/dagger"
"alpha.dagger.io/docker"
"alpha.dagger.io/gcp"
"alpha.dagger.io/gcp/cloudrun"
"alpha.dagger.io/gcp/gcr"
)
// Source code of the sample application
src: dagger.#Artifact & dagger.#Input
// GCR full image name
imageRef: string & dagger.#Input
image: docker.#Build & {
source: src
}
gcpConfig: gcp.#Config
creds: gcr.#Credentials & {
config: gcpConfig
}
push: docker.#Push & {
target: imageRef
source: image
auth: {
username: creds.username
secret: creds.secret
}
}
deploy: cloudrun.#Service & {
config: gcpConfig
image: push.ref
}
```
## Set up the environment
### Create a new environment
Now that your Cue package is ready, let's create an environment to run it:
```shell
dagger new 'gcpcloudrun' -m cue.mod/gcpcloudrun
```
### Configure user inputs
```shell
dagger input dir src . -e gcpcloudrun
dagger input text deploy.name todoapp -e gcpcloudrun
dagger input text imageRef gcr.io/<your-project>/todoapp -e gcpcloudrun
dagger input text gcpConfig.region us-west2 -e gcpcloudrun
dagger input text gcpConfig.project <your-project> -e gcpcloudrun
dagger input secret gcpConfig.serviceKey -f ./gcp-sa-key.json -e gcpcloudrun
```
## Deploy
Now that everything is properly set, let's deploy on Cloud Run:
```shell
dagger up -e gcpcloudrun
```