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This is part 6 of Building a To-Do List App.
Let’s now deploy our fully functional app on Dgraph Cloud cloud.dgraph.io.

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Create a deployment

After successfully logging into the site for the first time, your dashboard should look something like this. Dgraph Cloud: Get Started Let’s go ahead and launch a new deployment. Dgraph Cloud: Create deployment We named our deployment todo-app-deployment and set the optional subdomain as todo-app, using which the deployment will be accessible. We can choose any subdomain here as long as it’s available. Let’s set it up in AWS, in the US region, and click on the Launch button. Dgraph Cloud: Deployment created Now the backend is ready. Once the deployment is ready, let’s add our schema there (insert your public key) by going to the schema tab. 
type Task
  @auth(
    query: {
      rule: """
      query($USER: String!) {
          queryTask {
              user(filter: { username: { eq: $USER } }) {
                  __typename
              }
          }
      }
      """
    }
  ) {
  id: ID!
  title: String! @search(by: [fulltext])
  completed: Boolean! @search
  user: User!
}
type User {
  username: String! @id @search(by: [hash])
  name: String
  tasks: [Task] @hasInverse(field: user)
}
# Dgraph.Authorization {"VerificationKey":"<AUTH0-APP-PUBLIC-KEY>","Header":"X-Auth-Token","Namespace":"https://dgraph.io/jwt/claims","Algo":"RS256","Audience":["<AUTH0-APP-CLIENT-ID>"]}
Once the schema is submitted successfully, we can use the GraphQL API endpoint. Let’s update our frontend to use this URL instead of localhost. Open src/config.json and update the graphqlUrl field with your GraphQL API endpoint. 
{
    ...
    "graphqlUrl": "<Dgraph-Cloud-GraphQL-API>"
}
That’s it! Just in two steps on Dgraph Cloud (deployment & schema), we got a GraphQL API that we can now easily use in any app!