isopod VS cue

Tried it[0], worked reasonably well. Be prepared for strong opposition from traditional “devops” folks “who don’t mind yaml” and will drag everyone down.

[0] - https://github.com/cruise-automation/isopod

I like Cue and Jsonnet and Starlark and so on. But all of these have very low mindshare (though Starlark has the most momentum thanks to Bazel), and who knows if they will be dead by next year.

Being an early adopter is difficult both in terms of the immaturity of the tooling — Cue, for example, only has a Go implementation at the moment — and in terms of the risk of betting on an evolutionary dead end, which can cause a lot of unnecessary churn when you want to standardize on something across an entire organization.

As a concrete example, I'd love to replace Kubernetes's use of YAML with something like the above. But the tooling is immature, and almost nobody is using any of it. For example, there's Isopod [1], which is a nice-looking tool to use Starlark with Kubernetes. But it might go the same way as Ksonnet.

[1] https://github.com/cruise-automation/isopod

Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.

[1] https://www.talos.dev/

[2] https://cuelang.org/

I've been somewhat surprised that CUE bills itself as "tooling friendly" and doesn't yet have a language server- the number one bit of tooling most devs use for a particular language.

I'm assuming it's becaus CUE is still unstable?

Anyway, if others are interested in CUE's LSP work, I think https://github.com/cue-lang/cue/issues/142 is the issue to subscribe to

This is where I usually pitch in with "Have your heard of CUELang, our lord and savior?": https://cuelang.org/

- Not turing complete

CUE: The core problem CUE solves is "type checking", which is mainly used in configuration constraint verification scenarios and simple cloud native configuration scenarios.

If you really want executable configurations please consider a newer language like https://dascript.org or https://cuelang.org which provide better type safety.

1- https://news.ycombinator.com/item?id=38030778

Markdown and XML are nice, but what about more advanced documentation formats like OpenAPI? For one recent project, I set up automatic generation of the OpenAPI docs from (much more compact and flexible) CUE definitions (https://cuelang.org/) - which has the bonus of also being able to test the API against the definitions. JetBrains has a CUE plugin, but it's really barebones (doesn't even support jumping from the usage of a schema to its definition). Of course the possibilities when generating docs are endless (just think of the various syntaxes for doc comments, embedding examples/tests in source code etc.)...

It doesn't include validators for TOML and INI, but if you're doing JSON and YAML, I would take a look at using or building upon CUE (https://cuelang.org/). It is a different take on schema definition (plus more), and is surprising terse and powerful model.