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Monorepo Project Structure

SST gives you the flexibility to configure your projects in many different ways. However, as projects grow large, there's a need to better organize them. In this document we cover an opinionated setup that uses TypeScript and Yarn Workspaces.

We have a starter repo that we are using for reference. You can install it by running:

yarn create serverless-stack --use-yarn --example typescript-monorepo

There are some decisions made in this repo that reflect certain tradeoffs. We've picked what we feel makes sense for most teams and documented our thought process.

Why monorepo

CI - which is an important part of serverless - is a lot easier when all the code that needs to be built exists in the same repo. It avoids having to figure out how to resolve cross repository dependencies and versioning.

That said, we've structured the repo in a way where components can be extracted into their own repositories once the boundaries become more clear.

To do this we are using Yarn Workspaces, which allows us to place multiple packages in this repo without the overhead of managing node_modules in each one. Running yarn at the root will install all the dependencies across all sub-packages.

Separate packages

Since we're using Yarn Workspaces, it can be tempting to split up your project into many sub-packages; one per domain, one per service, etc.

The reality is, there isn't much benefit to creating multiple packages. The one technical advantage is it allows having different versions of dependencies for different pieces of your system. While this is true, it's not a common situation.

When using TypeScript, creating discrete boundaries has additional costs:

  1. You lose the ability to take advantage of features like TypeScript's renaming, to rename all references to a variable or function.
  2. Packages need to be built before they can be imported, which means if working across multiple packages you'll need a complex TypeScript watcher setup.
  3. More configuration to manage. You'll need a tsconfig.json per package to get things working exactly right.

However, it's still helpful to have discrete boundaries. In our setup, we emulate multiple packages without the costs through the use of TypeScript package aliases. Code in the core folder can be imported using import { Foo } from @acme/core. See backend/tsconfig.json to see how this works.

Project structure

We've chosen to make two packages in the backend: core and services.


This should contain all the business logic for your application. A developer on your team should be able to import this package and do everything that your application can do. It should not contain any specific interface information, like REST API details or GraphQL schemas. It should also not depend on any other code in this repo.

This roughly reflects Domain Driven Design. For a Todo application, core might look like this:


Each folder contains all the implementation details for the domain. And exports only what is expected to be public to other domains. The index.ts should then export the domains that are public to the rest of the application.


This package is for services that will be deployed to AWS. These can be Lambda functions that power your API, triggers for your event bus rules, and the like. It should not contain any business logic on its own. It should import domains from core and only contain the minimal code necessary to call them and forward results back.

Here's an example of what this can look like.



Instead of specifying tsconfig.json details directly, we've added a dependency on @tsconfig/node14 which includes common defaults for Node 14. Every tsconfig.json in the repo extends it.

The config located at backend/tsconfig.json includes the configuration for aliases to emulate separate packages. If you add additional packages or wish to change the structure you can do so by adding to the "paths" patterns.

Additionally, we use the include setting to narrow what is processed. This is helpful to make sure when typechecking your SST stack you're not also wasting time typechecking application code which will be checked later anyway.


The backend folder contains minimal configuration to set up Jest which is a testing framework. The tests can be run using yarn test from inside the backend folder. Additionally, we are using esbuild-runner instead of ts-jest to compile the code, making it significantly faster.


Full-stack serverless means a lot of your resources are in the cloud. It can be helpful to have scripts to do things like insert data into the database or push items onto a queue.

We provide a scripts folder to create these scripts - they can import code directly from @acme/core. This is an example of why it's helpful to separate your business logic from your lambda code. It allows it to be used in scripting scenarios without having to try and trigger lambdas housing the business logic.

We take advantage of esbuild-runner to execute the TypeScript code directly. You can use the included yarn script to run a script like:

yarn script ./scripts/example.ts