go-jsonnet VS ytt

> jsonnet seemed like a great idea to me, but I've experienced extremely low performance.

Although each implementation of jsonnet has some quirks, take a look at (scala-based) sjsonnet^1 or go-jsonnet^2 for improved performance. We use go-jsonnet because of some issues we had with the scala version - but it does seem to be the fastest by a large margin.

There's also a Rust version^3 that claims to be the fastest yet^4, but I haven't experimented with it at all.

[1]: https://github.com/databricks/sjsonnet

[2]: https://github.com/google/go-jsonnet/

[3]: https://github.com/CertainLach/jrsonnet

[4]: https://gist.github.com/CertainLach/5770d7ad4836066f8e0bd91e...

While I never wrote one, there are some good examples out there beyond the Go compiler itself. Have a look at the Benthos bloblang one (which is quite simple): https://github.com/Jeffail/benthos/tree/master/internal/bloblang and the go-jsonnet VM one (which is more complex): https://github.com/google/go-jsonnet

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/