Huly – Open-source project management platform

Deploying this requires running 5 different open source servers (databases, proxies, etc), and 5 different services that form part of this suite. If I were self-hosting this in a company I now need to be an expert in lots of different systems and potentially how to scale them, back them up, etc. The trade-offs to be made here are very different to when architecting a typical SaaS backend, where this sort of architecture might be fine.

I've been going through this myself with a hobby project. I'm designing it for self-hosting, and it's a radically different way of working to what I'm used to (operating services just for my company). I've been using SQLite and local disk storage so that there's essentially just 2 components to operate and scale – application replicas, and shared disk storage (which is easy to backup too). I'd rather be using Postgres, I'd rather be using numerous other services, background queue processors, etc, but each of those components is something that my users would need to understand, and therefore something to be minimised far more strictly than if it were just me/one team.

Huly looks like a great product, but I'm not sure I'd want to self-host.

That's interesting, for us there was actually no trade-off in that sense. Having operated another SaaS with a lot of moving parts (separate DB, queueing, etc), we came to the conclusion rather early on that it would save us a lot of time, $ and hassle if we could just run a single binary on our servers instead. That also happens to be the experience (installation/deployment/maintenance) we would want our users to have if they choose to download our backend and self-host.

Just download the binary, and run it. Another benefit is that it's also super helpful for local development, we can run the actual production server on our own laptop as well.

We're simply using a Go backend with SQLite and local disk storage and it pretty much contains everything we need to scale, from websockets to queues. The only #ifdef cloud_or_self_hosted will probably be that we'll use some S3-like next to a local cache.

I’ve been prototyping my app with a sveltekit user-facing frontend that could also eventually work inside Tauri or Electron, simply because that was a more familiar approach. I’ve enjoyed writing data acquisition and processing pipelines in Go so much more that a realistic way of building more of the application in Go sounds really appealing, as long as the stack doesn’t get too esoteric and hard to hire for.