architect VS sst

I had been running dockeri.co with https://arc.codes/ for pennies a month.

Then, one month, I got a ~$500 bill out of no where.

Docker had changed an api causing my service to return 5xx errors all month. Each error was individually logged to CloudWatch - which racked up a ~$500 bill.

I moved to Cloudflare Workers that day and haven’t moved back.

We use https://github.com/architect/architect to test, provision and deploy the functional web app via GitHub Actions (…whenever they work ;). For the UI/UX we work with https://tailwindui.com and paid them for their great work.

I use https://arc.codes/ for deploying to AWS Lambda/API Gateway. It does a really good job with Remix and NestJS and is easy enough. I like that all I have to do is give a very simple config, and it builds the apps, zips the function code, uploads all my static assets, and then generates and deploys the CloudFormation. I am curious to migrate off as I do have to do some workarounds and it doesn't seem to have a ton of traction.

Not sure why this is downvoted, Fastify is quite popular and the 'generator for everything' approach of Koa didn't really take off.

Architect serverless (https://arc.codes) is pretty good for serverless.

Architect is a heavily opinionated framework for building FWA's, Functional Web Apps. It uses AWS SAM under the hood but provides a layer on top with simplified abstractions that lets developers define and use AWS infrastructure without necessarily knowing what service is backing their "events" construct.

I work for vercel but I highly recommend a host like us because we make it a lot easier to manage a lambda environment and being a lot more to the table (cdn, edge functions, etc). If you want to go your own I really like architect https://arc.codes too. It really depends on your traffic and application patterns but cold starts can be virtually nil.

It uses: - Remix for the frontend - Architect for the backend

Alternately, use Architect. Architect is a 3rd party developer experience that builds on top of AWS SAM. Architect includes a TypeScript plugin.

For us at Begin and Architect, tape has been in use for several years. tape has a stable and straightforward API, routine maintenance updates, and outputs TAP, making it really versatile. While TAP is legible, it's not the most human-readable format. Fortunately, several TAP reporters can help display results for developers. Until recently, Begin's TAP reporter of choice was tap-spec. Sadly tap-spec wasn't kept up to date and npm began reporting vulnerabilities.

We see some great results from using these in conjunction with frameworks such as SST or Serverless, and also some real spaghetti from people who organically proliferate 100’s of functions over time and lose track of how they relate to each other or how to update them safely across time and service. Buyer beware!

> But if you have a sufficiently large enough API surface, doing one lambda per endpoint comes with a lot of pain as well. Packaging and deploying all of those artifacts can be very time consuming, especially if you have a naive approach that does a full rebuild/redeploy every time the pipeline runs.

Yeah, thankfully SST [0] does the heavy lifting for me. I've tried most of the solutions out there and SST was where I was the happiest. Right now I do 1 functions per endpoint. I structure my code like url paths mostly, 1 stack per final folder, so that the "users" folder maps to "/users/*" and inside I have get/getAll/create/update/delete files that map to GET X/id, GET X, POST X, POST X/id, DELETE/id. It works out well, it's easy to reason about, and deploys (a sizable a backend) in about 10min on GitHub Actions (which I'm going to swap out probably for something faster).

I agree with the secrets/permissions aspect and I like that it's stupid-simple for me to attach secrets/permissions at a low level if I want.

I use NodeJS and startup isn't horrible and once it's up the requests as very quick. For my needs, an the nature of the software I'm writing, lambda makes a ton of sense (mostly never used, but when it's used it's used heavily and needs to scale up high).

[0] https://sst.dev

We will start by building a project with SST that provisions an API Gateway, a Lambda, and an S3 bucket. Once implemented, we'll look into testing for concurrent write conflicts or exceeding capacity limits.

I recently deployed a node websocket server using the SST Service construct. Until this point my stack had been functions and buckets. While I had no users 😢, I also had no costs 🤡.

Most my personal and side-business projects have very spiky load or just low load in general. Because of that I love using AWS Lambda as my backend since it scales to 0 and scales to whatever you have your limits set at.

I use SST [0] for my backend with NodeJS (TypeScript) and Vue (Quasar) for my frontend. For my database I use either Postgres or DynamoDB if the fit is right (Single Table Design is really neat). For Postgres I like Neon [1] though their recent pricing changes make it less appealing.

[0] https://sst.dev

[1] https://neon.tech

Yup. Entire core business product for a succeeding startup, though it's a small team of contributors (<10), and a much smaller platform team. Serverless backend started in 2018. Been a blessing in many regards, but it has its warts (often related to how new this architecture is, and of course we've made our own mistakes along the way).

I really like the model of functions decoupled through events. Big fan of that. It's very flexible and iterative. Keep that as your focus and it's great. Be careful of duplicating config, look for ways to compose/reuse (duh, but definitely a lesson learnt) and same with CI, structure your project so it can use something off-the-shelf like serverless-compose. Definitely monorepo/monolith it, I'd be losing my mind with 100-150 repos/"microservices" with a team this size. If starting now I'd maybe look at SST framework[0] because redeploying every change during development gets old fast

I couldn't go back to any other way to be honest, for cloud-heavy backends at least. By far the most productive I've ever been

Definitely has its warts though, it's not all roses.

[0] http://sst.dev

Along the way, you find an excellent framework, SST. Which is much faster than CDK and provides a better DX1. Here is how you then define your MultiPipelineStack.

SST is a powerful framework that simplifies the development of serverless applications. It offers a straightforward and opinionated approach to defining serverless apps using TypeScript. Built on top of AWS CDK, SST handles the complexity of setting up your serverless infrastructure automatically. SST is an open-source framework and is completely free to use.

SST is an open-source framework designed to facilitate the development and deployment of Serverless stacks on AWS. It operates under the hood by integrating with Amazon CDK. However, its primary benefit is in allowing us to concentrate on creating resources using familiar languages like TypeScript, treating them as Infrastructure as Code (IaC).