GitHub Actions with Nx

In this tutorial we're going to learn how to leverage Nx to setup a scalable CI pipeline on GitHub Actions. You're going to learn

• how to set up GitHub Actions and configure Nx
• how to run tasks for only the projects that were affected by a given PR
• how to enable remote caching
• how to parallelize and distribute tasks across multiple machines

Note, many of these optimizations are incremental, meaning you could set up running tasks for only affected projects and stop there. Later when you experience slow CI runs, you could add caching to further improve CI performance or even go further and distribute tasks across machines.

Example Repository

To follow along with this tutorial, we recommend using the nx-shops sample repository.

The nx-shops repo is useful to demonstrate the value of the CI pipeline because it has the following characteristics:

• Multiple Nx projects with interdependencies
• Defined lint, test, build and e2e tasks
• Running all the tasks takes more than a minute to finish

To get started:

1. Fork the nx-shop repo and then clone it to your local machine

   ❯

   git clone git@github.com:<your-username>/nx-shops.git

2. Install dependencies (this repo uses PNPM but you should be able to also use any other package manager)

   ❯

   pnpm i

3. Explore the structure of the repo using the Nx Graph

   ❯

   pnpm nx graph

4. Finally, make sure all task are working on your machine, by running lint, test, build and e2e on all projects of the workspace

   ❯

   pnpm nx run-many -t lint,test,build,e2e

Set-up GitHub Actions

To get started with GitHub Actions, we'll create a pipeline that just logs a message. First, checkout a new branch:

Then create (or modify) the .github/workflows/ci.yml file with these contents:

Next, commit this change, push the branch and create a PR on your forked GitHub repository:

If everything was set up correctly, you should see a message from GitHub Actions in the PR with a success status.

Click on the job details and you should see the Hello GitHub Actions message in the logs.

Merge your PR into the main branch when you're ready to move to the next section.

Configure Nx on GitHub Actions

Now let's use Nx in the pipeline. The simplest way to use Nx is to run a single task, so we'll start by building our cart application.

We need to adjust a couple of things on our CI pipeline to make this work:

• clone the repository
• install NPM dependencies (in our nx-shop using PNPM)
• use Nx to run the build command

Nx is an npm package so once NPM packages are installed we will be able to use it.

Create a new branch called build-one-app and paste this code into the GitHub Actions config.

Once node_modules are in place, you can run normal Nx commands. In this case, we run pnpm nx build cart. Push the changes to your repository by creating a new PR and verifying the new CI pipeline correctly builds our application.

You might have noticed that there's also a build running for shared-header, shared-product-types and shared-product-ui. These are projects in our workspace that cart depends on. Thanks to the Nx task pipeline, Nx knows that it needs to build these projects first before building cart. This already helps us simplify our pipeline as we

• don't need to define these builds automatically
• don't need to make any changes to our pipeline as our cart app grows and depends on more projects
• don't need to worry about the order of the builds

Merge your PR into the main branch when you're ready to move to the next section.

Optimize our CI by caching NPM dependencies

While this isn't related to Nx specifically, it's a good idea to cache NPM dependencies in CI. This will speed up the CI pipeline by avoiding downloading the same dependencies over and over again. GitHub Actions has an action to cache files that we'll use.

Adjust your CI pipeline script as follows

The restore_cache and save_cache steps are using a hash key that is created from the contents of the pnpm-lock.yaml file. This way if the pnpm-lock.yaml file remains the same, the next CI pipeline can pull from the cache instead of downloading node_modules again. This is similar to the way Nx hashes input files to cache the results of tasks.

Create a new branch with these changes and submit a PR to your repo to test them. Merge your PR into the main branch when you're ready to move to the next section.

Process Only Affected Projects

So far we only ran the build for our cart application. There are other apps in our monorepo workspace though, namely admin, landing-page and products. We could now adjust our CI pipeline to add these builds as well:

Clearly this is not a scalable solution as it requires us to manually add every new app to the pipeline (and it doesn't include other tasks like lint, test etc). To improve this we can change the command to run the build for all projects like

This change makes our CI pipeline configuration more maintainable. For a small repository, this might be good enough, but after a little bit of growth this approach will cause your CI times to become unmanageable.

Nx comes with a dedicated "affected" command to help with that by only running tasks for projects that were affected by the changes in a given PR.

Configuring the Comparison Range for Affected Commands

To understand which projects are affected, Nx uses the Git history and the project graph. Git knows which files changed, and the Nx project graph knows which projects those files belong to.

The affected command takes a base and head commit. The default base is your main branch and the default head is your current file system. This is generally what you want when developing locally, but in CI, you need to customize these values.

The goal of the CI pipeline is to make sure that the current state of the repository is a good one. To ensure this, we want to verify all the changes since the last successful CI run - not just since the last commit on main.

While you could calculate this yourself, we created the nx-set-shas GitHub Action to help with that. It provides you with the nrwl/nx-set-shas action which automatically sets the NX_BASE and NX_HEAD environment variables to the correct commit SHAs. The affected command will use these environment variables when they are defined.

Using the Affected Commands in our Pipeline

Let's adjust our CI pipeline configuration to use the affected command. Create a new branch called ci-affected and create a PR with the following configuration:

We're using the --parallel flag to run up to 3 lint, test or build tasks at once, but we want to make sure that only 1 e2e task is running at a time.

When you check the CI logs for this PR, you'll notice that no tasks were run by the affected command. That's because the .github/workflows/ci.yml file is not an input for any task. We should really double check every task whenever we make changes to the CI pipeline, so let's fix that by adding an entry in the sharedGlobals array in the nx.json file.

Merge your PR into the main branch when you're ready to move to the next section.

Enable Remote Caching on GitHub Actions

Reducing the number of tasks to run via affected commands (as seen in the previous section) is helpful, but might not be enough. By default Nx caches the results of tasks on your local machine. But CI and local developer machines are still performing the same tasks on the same code - wasting time and money. The Nx Cloud remote cache can eliminate that waste for you.

Click the link in the terminal to claim your workspace on nx.app. Once your workspace is successfully connected you should see an empty dashboard.

Once your workspace is connected to Nx Cloud, run some tasks locally to prime the cache:

Now let's commit the changes to a new ci-caching branch and create a PR. The only change to the source code is adding an nxCloudAccessToken property to nx.json.

When GitHub Actions now processes our tasks they'll only take a fraction of the usual time. If you inspect the logs a little closer you'll see a note saying [remote cache], indicating that the output has been pulled from the remote cache rather than running it. The full log of each command will still be printed since Nx restores that from the cache as well.

The commands could be restored from the remote cache because we had run them locally before pushing the changes, thus priming the cache with the results. You can configure whether local runs should be read-only or read/write. Our docs page has more details on various scenarios and how to configure them.

You might also want to learn more about how to fine-tune caching to get even better results.

Merge your PR into the main branch when you're ready to move to the next section.

Enable PR Integration

The Nx Cloud GitHub App automatically creates a comment on your PRs that provides a direct link to the relevant Nx Cloud logs and quickly shows which command failed.

Install the App

Install the Nx Cloud GitHub App and give it permission to access your repo.

Connecting Your Workspace

Once you have installed the Nx Cloud GitHub App, you must link your workspace to the installation. To do this, sign in to Nx Cloud and navigate to the VCS Integrations setup page. Once on the VCS Integrations setup page, choose GitHub as your version control system.

Authenticate Via the GitHub App

To use the Nx Cloud GitHub App for authentication, select the radio button and then click "Connect". This will verify that Nx Cloud can connect to your repo. Upon a successful test, your configuration is saved.

Now any new PRs in your repo should have a comment automatically added that links directly to Nx Cloud. For other ways of setting up PR integration, read the Enable GitHub PR Integration recipe.

Parallelize Tasks across Multiple Machines

The affected command and remote caching help speed up the average CI time, but there will be some PRs that affect everything in the repository. The only way to speed up that worst case scenario is through efficient parallelization. The best way to parallelize CI with Nx is to use distributed task execution (DTE).

Nx Cloud's DTE feature

• takes a command (e.g. run-many -t build,lint,test,e2e) and splits it into individual tasks which it then distributes across multiple agents
• distributes tasks by considering the dependencies between them; e.g. if e2e depends on build, Nx Cloud will make sure that build is executed before e2e; it does this across machines
• distributes tasks to optimize for CPU processing time and reduce idle time by taking into account historical data about how long each task takes to run
• collects the results and logs of all the tasks and presents them in a single view
• automatically shuts down agents when they are no longer needed

Let's enable DTE in our CI pipeline configuration. We'll use two reusable workflows from the nrwl/ci repository. You can check out the full API for those workflows.

This workflow runs all the affected tasks on 3 agents, with 2 tasks running in parallel on each agent.

Try it out by creating a new PR with the above changes.

Once GitHub Actions starts, you should see multiple agents running in parallel:

If you open your Nx Cloud dashboard, you'll get a better view of the individual tasks and their corresponding logs.

With this pipeline configuration in place, no matter how large the repository scales, Nx Cloud will adjust and distribute tasks across agents in the optimal way. If CI pipelines start to slow down, just add some agents to the number-of-agents: 3 properties. One of the main advantages is that such a pipeline definition is declarative. We just give instructions what commands to run, but not how to distribute them. As such even if our monorepo structure changes and evolves over time, the distribution will be taken care of by Nx Cloud.

Next Steps

You now have a highly optimized CI configuration that will scale as your repository scales. See what else you can do with Nx Cloud.

• Set up GitHub PR integration to view Nx Cloud results directly in your PR
• Choose the security scenario that makes sense for your organization
• Record non-Nx commands and view the results in the Nx Cloud interface