ytt VS cue

YTT - YTT is a templating tool that understands YAML structure. It helps you easily configure complex software via reusable templates and user provided values using the Starlark language.

Adding https://carvel.dev/ytt/ to the list. I was happy using this tool as IMO it mixes good things from Helm and Kustomize, however the syntax is ugly and repelling my colleagues to have a closer look.

> Templating yaml is a terrible, terrible idea

I've had a good time using ytt: https://carvel.dev/ytt/. It implements language-aware templating, which is IMO the only reasonable way to do it.

`ytt` is part of the Carvel toolchain. https://carvel.dev/ytt/

I agree with you on `you will want to see just plain texts instead of a bunch of templating token with hidden logic.` Which is why I think https://carvel.dev/ytt/ would be great. We could generate these templates in pipelines, or we could just make it easier to maintain what we have.

For more advanced configuration management you might be interested in ytt ( https://carvel.dev/ytt/ ) which is a "yaml-aware" templating tool. it lets you do "patches" via an overlay mechanism to add or remove specific yaml blocks, and it also lets you use a simplified python dialect for more complicated logic. With ytt you would put your DNS IP into a "data values" file and then run ytt to render it into the configs before handing them off to the deployment tool. e.g. `ytt -f | kubectl apply`

I said this above as well: ytt (https://carvel.dev/ytt/) lets you embed starlark into valid yaml, among other cute tricks for managing biz-logic in configs.

Manifests are generated with ytt (https://carvel.dev/ytt/).

This is why you should consider https://carvel.dev/ytt/

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.