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Indeed why? However the conclusion I have is not to use JSON but to use a type safe configuration language that can express my intent much better making illegal states impossible. One example of such lang is Dhall.
https://dhall-lang.org/
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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I would recommend implementing a similar API to Grafana Tanka: https://tanka.dev
When you "synthesise", the returned value should be an array or an object.
1. If it's an object, check if it has an `apiVersion` and `kind` key. If it does, yield that as a kubernetes object and do not recurse.
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noyaml
A silly emotional rant about the state of devops tooling/the infrastructure sector in 2018. #noyaml.com
For those who do not know it yet, the now classic noyaml site: https://noyaml.com/
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Is the list on their website not good? https://github.com/json5/json5/wiki/In-the-Wild
And it shouldn't take much to modify an existing JSON parser.
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Take a look at cdk8s from Amazon.
https://github.com/cdk8s-team/cdk8s-examples/tree/main/types...
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This is where I usually pitch in with "Have your heard of CUELang, our lord and savior?": https://cuelang.org/
- Not turing complete
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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Personally I prefer INI over nearly all configuration formats.
https://github.com/madmurphy/libconfini/wiki/An-INI-critique...
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- Portable - It runs pretty much anywhere
Our runtime takes the Starlark and creates environments in both Docker and Kubernetes; from one definition
Our CTO wrote this - https://docs.kurtosis.com/advanced-concepts/why-kurtosis-sta...
Here is a popular environment definition - https://github.com/kurtosis-tech/ethereum-package that protocol developers use to setup custom Ethereum test environments
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> I don't think even though TOML has some official spec
Read it on https://toml.io/ (Full spec on upper-right… with its evolutions up to final 1.00 version).
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For anyone struggling with Helm YAML syntax errors in their day job, I shamelessly advertise my browser-based debug tool Helm Playground: https://helm-playground.com/ - https://github.com/shipmight/helm-playground
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HJson https://hjson.github.io seems a nice 'in-between' between YAML and JSON without the indentation-based syntax, so closer to the JSON side but with comments and less quotes.
What I don't really get is why the cloud providers / tooling implementors have never drafted up a "YAML-light" that just throws out the rarely-used headache-inducing syntax elements.
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Ansible convinced me that doing programming tasks in YAML is insanity, so I started an experiment: What would Ansible be like if it's syntax were more like Python than YAML. https://github.com/linsomniac/uplaybook
I spent around 3 months over the holidays exploring that by implementing a "micro Ansible", I have a pretty solid tool that implements it, but haven't had much "seat time" with it: working on it rather than in it. But what I've done has convinced me that there are some benefits.
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In the case of GitHub Actions, it's made more painful by the lack of support for YAML anchors, which provide a bare minimum of composability.
https://github.com/actions/runner/issues/1182
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> These same feelings extend to other proprietary config languages like HCL for Terraform, ASL for AWS Step Functions, etc. It's fine that you want a declarative API, but let me generate my declaration programatically.
Yeah, I've had the same sort of opinion since the bad old AWS CloudFormation days. I wrote an experimental CloudFormation generator 4 years ago where all of the resources and Python type hints were generated from a JSON file that AWS published and it worked really well (https://github.com/weberc2/nimbus/blob/master/examples/src/n...).
> Config declared in and generated by code has been a superior experience. It's one of the things that AWS CDK got absolutely right.
Is that how CDK works? I've only dabbled with it, but it was pretty far from the "generate cloudformation" experience that I had built; I guess I never "saw the light" for CDK. It felt like trading YAML/templating problems for inheritance/magic problems. I'd really like to hear from more people who have used AWS CDK, Terraform's CDK, and/or Pulumi.
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https://github.com/nickelpack/nck
I wanted to use Nickel, but it turns out that it can't do everything you'd need it to do to completely replace NixLang. So right now I'm bikeshedding on what to use instead (and desperately trying not to invent something), in other words it's definitely being renamed. Either way there's a bash script in the `test` dir that shows the general concept.
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I'm designing a simple dev environment from scratch.
My solution for this is a sandboxed lua for programatic configuration:
https://github.com/civboot/civlua/tree/main/lib/luck
I can't stand JSON (for many reasons) so I created a serialization format that combines it and CSV for nested objects
https://github.com/civboot/civlua/tree/main/lib/tso
I wish the industry would standardize on a solution like this. IMO you shouldn't use a "real" language unless you can lock it down to be determinisitic. JSON is supposed to be human readable but fails for lots of real-world data like multi-line strings or lists of records.
CSV is more readable but doesn't supported nested objects.
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The mutations and side-effects only last until synthesis. You can imagine a CDK app as a pure function that runs a bunch of mutations on an App object and then serializes the state of that object in the end to static assets that can be deployed. The internals of it all are messy, but at a conceptual level, it's easy to think about.
CDKTF is really promising, IMO. When I last looked, it was still pretty new, but it's maturing, I think. One downside compared to regular AWS CDK is that the higher level constructs from the official AWS CDK can't be used in CDKTF. There is an adapter that exists, but it's one more layer between you and knowing what's going on: https://github.com/hashicorp/cdktf-aws-cdk
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CodeRabbit
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