k8s-openapi VS m3o

It's called sans-io in Python land, which is where I heard it first.

https://sans-io.readthedocs.io/

I did it for one of my projects back in 2018 https://github.com/Arnavion/k8s-openapi/commit/9a4fbb718b119...

Another option is to implement your API in a sans-io form. Since k8s-openapi was mentioned (albeit for a different reason), I'll point out that its API gave you a request value that you could send using whatever sync or async HTTP client you want to use. It also gave you a corresponding function to parse the response, that you would call with the response bytes however you got them from your client.

https://github.com/Arnavion/k8s-openapi/blob/v0.19.0/README....

(Past tense because I removed all the API features from k8s-openapi after that release, for unrelated reasons.)

Macro expansion is slow, but only noticeably in the specific situation of a) third-party proc macros, b) a debug build, and c) a few thousand invocations of said proc macros. This is because debug builds compile proc macros in debug mode too, so while the macro itself compiles quickly (because it's a debug build), it ends up running slowly (because it's a debug build).

I know this from observing this on a mostly auto-generated crate that had a couple of thousand types with `#[derive(serde::)]` on each. [1]

This doesn't affect most users, because first-party macros like `#[derive(Debug)]` etc are not slow because they're part of rustc and are thus optimized regardless of the profile, and even with third-party macros it is unlikely that they have thousands of invocations. Even if it is* a problem, users can opt in to compiling just the proc macros in release mode. [2]

[1]: https://github.com/Arnavion/k8s-openapi/issues/4

[2]: https://github.com/rust-lang/cargo/issues/5622

>OpenAPI Generator allows generation of API client libraries from OpenAPI Specs

It does, but the generated code can be very shitty for some combinations of spec and output language. I maintain Rust bindings for the Kubernetes API server's API, and I chose to write my own code generator instead. The README at https://github.com/Arnavion/k8s-openapi has more details.

k8s_openapi - https://github.com/Arnavion/k8s-openapi

For example: I have a routine that checks the value of (from k8s-openapi): Ingress -> IngressStatus -> LoadBalancerStatus -> Vec[0] -> String

As the maintainer of the Rust bindings that the library used in the article (kube) is backed by, I can confirm that Kubernetes' openapi spec requires a lot of Kubernetes-specific handling to generate a good client than generic openapi generators do not provide.

See https://github.com/Arnavion/k8s-openapi/blob/master/README.m... for a full description.

I also confirm that I keep it up-to-date with Kubernetes releases and have been doing so for the ~3 years that it's been around. Not just the minor ones every few months, but even the point ones; these days the latter usually only involves updating the test cases instead of code changes and they're done within a few hours of the upstream release.

Sorry what I meant is I've been working on the open source Micro project for 8 years which underpins this. The chat app itself was not really something I meant as being open source but yes it's in a separate repo with the API hosting product I built called M3O.com.

https://github.com/m3o/m3o

Email: [email protected]

Spent the last 10 years mostly working with microservices and Go based startups, although I would not recommend microservices to most companies. I can save you a few million dollars if you wonder why.

I'm most passionate about improving DevEx in companies. Things like writing custom ORMs for lesser known/supported databases (see eg. https://github.com/gocassa/gocassa). Mostly worked with startups from $2M-$500M funding range, with the occasional enterprise gig.

Used to run a chicken shop as a hobby project which made me careful of accepting management positions, haha, people are hard. I would love to be a product owner, I mostly designed the https://m3o.com/ product with the CEO recently and implemented the MVP of it. It's open source stuff, check it out https://github.com/m3o

Currently working for a US startup but my contract is ending soon.

Cheers!

It's like API indexing, I like it. I started M3O (https://m3o.com) with this idea of API aggregation for absolutely everything but not specifically indexing, more so providing a uniform access layer to all things with one API token. The programmability of Nango will definitely a be a selling point. For the founders, focus on that, double down on that. The ability to program the APIs and the data retrieved is really key.

What if any is the relationship between https://m3o.com/ and https://micro.dev/ ?

Nocode poses a really interesting movement towards rapid prototyping end user facing apps but I think when it comes to functionality, there's always some need to drop into the escape hatch to make that API call or manipulate some javascript. I've been noticing more people using https://m3o.com for that especially with things like Adalo. There's 70+ APIs that can be used with one API token. Super useful. Also on the lookout for other API providers who make it easier to embed those apis.

We can potentially do this on https://m3o.com. It doesn't exist yet but would make sense as the next service we offer. Further details would be useful e.g endpoints required.