kubernetes-mixin
dhall-lang
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kubernetes-mixin | dhall-lang | |
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9 | 113 | |
1,971 | 4,124 | |
1.1% | 1.3% | |
7.7 | 6.0 | |
9 days ago | 27 days ago | |
Jsonnet | Dhall | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kubernetes-mixin
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Do we have any Prometheus metric to get the kubernetes cluster-level CPU/Memory requests/limits?
I'd suggest looking at the queries used by the kubernetes mixin dashboards for inspiration.
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How do you set up Grafana alert for your cluster? Which mixins library?
Came across this lib, but realized the last update was 4 years ago.
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I need to create an alerting setup for kubernetes nodes cpu utilisation. Can someone give some alerting queries to set it up?
Take a look at the kubernetes mixins to get an idea and/or starting point
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How to Monitor your k8s Persistent Volume Usage
The last step is to use the Mixin dashboard to visualize the usage of PV, you can get it from here
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How to silence Prometheus Alertmanager using config files?
It's working good so far, except for the annoying CPUThrottlingHigh alert that is firing for many pods (including the own Prometheus' config-reloaders containers). This alert is currently under discussion, and I want to silence its notifications for now.
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The Dhall Configuration Language
I think it might still have issues figuring out that it needs to apply CRDs first: https://github.com/grafana/tanka/issues/246 Besides that, I found it super-handy for deploying https://github.com/prometheus-operator/prometheus-operator and https://github.com/kubernetes-monitoring/kubernetes-mixin
- Kubernetes Monitoring
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Prometheus Definitive Guide Part III - Prometheus Operator
These all standard dashboards are basically generated from the kubernetes-mixin project.
dhall-lang
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Apple releases Pkl – onfiguration as code language
Fail to see how this is any different than Dhall (https://dhall-lang.org/) other than it produces plists too.
Well, Dhall provides something between JSON and a Turing complete language that can make a lot of configuration much quicker to write, if you can hack the functional syntax.
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Pkl, a Programming Language for Configuration
Kubernetes config is a decent example. I had ChatGPT generate a representative silly example -- the content doesn't matter so much as the structure:
https://gist.github.com/cstrahan/528b00cd5c3a22e3d8f057bb1a7...
Now consider 100s (if not 1000s) of such files.
I haven't given Pkl an in depth look yet, but I can say that the Industry Standard™ of "simple YAML" + string substitution (with delicate, error prone indentation -- since YAML is indentation sensitive) is easily beat by any of:
- https://nixos.org/manual/nix/stable/language/index.html
- (insert many more here, probably including Pkl)
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Why the fuck are we templating YAML? (2019)
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.
Throwing in a plug for https://dhall-lang.org/
> Dhall is a programmable configuration language that you can think of as: JSON + functions + types + imports
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Is Htmx Just Another JavaScript Framework?
There are underpowered languages / tools, that can only solve a problem for which they are intended poorly. But not all limited tools are like that.
Say, eBPF is prominently not Turing-complete, which allows to guarantee that a eBPF program terminates, and even how soon. Still eBPF is hugely useful in its area.
Or, say, regular expressions are limited to regular languages; in particular, they famously [1] cannot process recursive structures, like trees. Still tools like grep / ag / rg are mightily useful.
Yes, I agree that YAML is underpowered for proper k8s configuration! But it's also too powerful for its own good in other aspects [2]. I wish Google used Dhall [3] or their own purely functional config language (FCL? I already forgot the name) instead of YAML; sadly, they did not.
[1]: https://stackoverflow.com/a/1732454/223424
[2]: https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-fr...
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10 Ways for Kubernetes Declarative Configuration Management
Dhall: Dhall is a programmable configuration language that combines features like JSON, functions, types, and import capabilities. Its style leans towards functional programming, so if you're familiar with functional-style languages such as Haskell, you might find Dhall to be quite intuitive.
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Berry is a ultra-lightweight dynamically typed embedded scripting language
I've been thinking along these lines but more 'strongly validated' than statically typed in the sense that you'd be better off being able to load the entire config and then produce a list of problems (and should be able to offer good editor support if done correctly).
Though https://dhall-lang.org/ demonstrates that you can statically type quite a lot of configuration to great advantage, which appears to be programmatically embeddable in multiple languages per https://docs.dhall-lang.org/howtos/How-to-integrate-Dhall.ht...
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What Is Wrong with TOML?
I agree, I quite like https://dhall-lang.org/ for that reason. It strikes a good balance between features and being a config language.
What are some alternatives?
cue - CUE has moved to https://github.com/cue-lang/cue
jsonnet - Jsonnet - The data templating language
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
charts - ⚠️(OBSOLETE) Curated applications for Kubernetes
prometheus-operator - Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
jsonlogic - Go Lang implementation of JsonLogic
nix-gui - Use NixOS Without Coding
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
lua-patterns - Exposing Lua string patterns to Rust
wasp - The fastest way to develop full-stack web apps with React & Node.js.