Deploying FeathersJS apps with Gitlab couldn’t be easier with the integrated CI/CD process. Here is how I am deploying to Heroku for staging enviroments. This is my .gitlab-ci.yml file in the root of my project.

 which is the name of the app within Heroku, and your 

Create an app within Heroku with the same name as 

Push to your development branch and you should see the two stages within your pipeline, one for tests and one for deployment. Assuming your tests pass then your app should be deployed to Heroku.

If you see anything that is wrong or can be improved please get in touch.

FeathersJS deployment - Gitlab CI/CD - Heroku

Having a smooth deployment pipeline is every developer's dream to ensure that smooth they can concentrate on developing and pushing features and that they get deployed fast and with little friction. I am going to walk through how to make that happen with Google Cloud Functions / Google Cloud Run using Gitlab CI.

First, you will need to create a service account that will have admin permission, I did this for both GoogleCloudFunction and GoogleCloudRun roles to future-proof the service account.


The next part is allowing that service account access, I ran the following to grant it access to the main service account to perform necessary operations:


gcloud iam service-accounts add-iam-policy-binding <project_id>-compute@developer.gserviceaccount.com --member serviceAccount:<service_account>@<project_name>.iam.gserviceaccount.com --role roles/iam.serviceAccountUser

Once the service account is created, you will need to create an API key which is recommended to be in JSON. This will automatically be downloaded which you will need to use later.

You can then go ahead and create the gitlab-ci.yml which will configure to create the deployment.

As you can see there are a couple variables we will need to set within the Gitlab CI settings, there are options to create a Gitlab secret as a File which we will use for the JSON service account API Key, we will create a normal variable for the Service Project.

Once you have configured the CI secrets, you should be able to push your changes and see your code get deployed and you can enjoy smooth deployments!

Gitlab CI Google Cloud Function

Let's start by talking about what a resolver is. A GraphQL Resolver is a function that is responsible for populating the data for a single field in your schema. What does this mean? Let's try to break it down, here is some data first:

We have a simple object which contains a name property and an array of hobbies. Given the following Schema and initial query resolver, we can see how these resolvers work.

 being the main entry point for all our GraphQL queries. The 

 definition, so we can now query for the "name" & "hobbies" properties. The 

 within our resolver is the data that in our instance is in memory, but this could also be a database lookup or even an API request. Given the following query:

The entire data object will be loaded, but only what was requested which was the 

But say we wanted to do something extra for the 

 property, we could do this within a resolver, for example, add an image URL. We would need to create a resolver for that property and it would look something like, which would be a specific resolver for the hobbies when queried within the person context:

Don't forget to update the type definition for 

We can also be more generic and have a resolver for the 

 definition, which would look something like:

This gives you the flexibility if you want to have the resolver for that property always do the same thing, or if you want it to do something more specific when fetched within a specific parent property context.

You can have the two resolvers together but the top-level 

 one will resolve last and as such will take precedence.

FeathersJS deployment - Gitlab CI/CD - Heroku

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Gitlab CI Google Cloud Function

Understanding GraphQL Resolvers