serverless-analyze-bundle-plugin VS kysely

Note that there is one minor drawback, though: Kysely will add 120KB in your Lambdas bundles (props to for serverless-analyze-bundle-plugin for helping me out with this 🙌). It is not a lot, but not negligible either as NodeJS Lambdas bundles above 5MB negatively impacts their cold starts. So you might want to re-evaluate adding Kysely to your bundles if your query is not changing often.

There are plenty of tools out there to optimize the size of your bundles. For instance the Serverless Analyze Bundle Plugin integrates with the Serverless Framework and helps you diagnose which of your NodeJS dependency is not properly tree-shaked.

One of the most important aspects of serverless development is keeping an eye on your bundle sizes and to reduce cold start times on Lambda. Keeping this in mind, the template utilizes serverless-esbuild and serverless-analyze-bundle-plugin to provide function analysis out-of-the-box. I opted for serverless-esbuild over serverless-bundle for a few reasons:

Did you check https://github.com/koskimas/kysely ? It was great when I used it. It has great TS support.

That’s where Kysely comes to the rescue: Kysely is a type-safe and devX-friendly typescript SQL query builder. It was designed to work with PostgreSQL and MySQL, but it exposes a few classes that can let us write queries without being connected to an actual relational database.

prisma (mentioned in the article), zapatos, pgtyped and kysely are the most popular currently I think.

switch between a limited interface and a query builder (MikroORM, TypeORM). This feels like using two different libraries, switching between two different sets of limitations. Kysely is a nice query builder with good TS support, but MikroORM is using Knex instead so you're losing TS, and TypeORM has a custom query builder, less user-friendly than Knex.

I'd love to see Kysely as an option.

Kysely[1] and zapatos[2] are excellent solutions for type-safe typescript query builders. It’s hard to go back to the days of spending 20-30% of your time in the object mapping layer.

[1] https://github.com/koskimas/kysely

Querying the database (PostgreSQL) should not be ground breaking. Personally I like to have full type-safety so we can easily catch bugs during the development time without introducing any tests that are just testing the data type from our datastore to match the data type our API expects. I like to go database schema first, which means that we generate types from the database schema and work with those. Any change to the schema of the database is made with SQL migrations and after that, the typescript types are regenerated. Another approach is to use a code-first tool like TypeORM or Prisma. However in my experience such tools often produce not efficient SQL queries and are less easy to extend. In my projects I use library kysely (https://github.com/koskimas/kysely) with kysely-codegen (https://github.com/RobinBlomberg/kysely-codegen) to have a full type-safe SQL builder.