cue VS cloudquery

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.

Check out CloudQuery - https://github.com/cloudquery/cloudquery for an easy cloud asset inventory.

There both do something like what you're looking for.... https://github.com/cloudquery/cloudquery https://github.com/openraven/magpie

Unified API is a holly grail but as many said quite difficult to abstract every use case in a scalable way that won't break. At CloudQuery (https://github.com/cloudquery/cloudquery) we focus solely on the ELT use-case(Founder/Maintainer here).

Congrats!! How does it compare to the ELT space and the modern data stack where you have ingestion/storage/visualization layers decoupled?

Asking as the founder of CloudQuery (https://github.com/cloudquery/cloudquery), Saw Datasette quite a few times around data exploration but curious to hear about the most popular use-cases of Datasette!

Congrats!! We also focus on performance at CloudQuery (https://github.com/cloudquery/cloudquery) by using Golang, gRPC and still trying to be abstract enough to support different databases :)

In any case good luck!

CloudQuery for ETL

Another ELT framework that's an alternative to Airbyte

Another alternate ELT

Check out CloudQuery, we have PostgreSQL source connectors and S3 destination that supports parquet (Disclaimer: Maintainer and founder here)

Hello! Im Yevgeny, Founder & maintainer at CloudQuery . We've built CloudQuery as an open source high performance ELT framework so you should get pretty good results syncing all your cloud assets from high number of accounts (we have users syncing more than 10K Azure subscription and thousands of AWS accounts concurrently).