kubernetes-mixin
cue
kubernetes-mixin | cue | |
---|---|---|
9 | 109 | |
2,000 | 4,765 | |
1.3% | 1.4% | |
8.1 | 9.8 | |
2 days ago | 4 days ago | |
Jsonnet | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
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What is the ultimate list of alerts when monitoring an on-premise k8s cluster?
I would suggest looking at the Kubernetes Mixin: https://github.com/kubernetes-monitoring/kubernetes-mixin, it has both alerts and Grafana dashboards.
cue
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TypeSpec: A New Language for API-Centric Development
If you are in a situation where you have a backend and you want to expose an API and then you would eventually want a client, you would need format specs as the starting point where server and clients are generated from that one source.
At the moment, OpenAPI with YAML is the only way to go but you can't easily split the spec into separate files as you would do any program with packages, modules and what not.
There are third party tools[0] which are archived and the libraries they depend upon are up for adoption.
In that space, either you can use something like cue language 1] or something like TypeSpec which is purpose built for this so yet, this seems like a great tool although I have not tried it yet myself.
[0]. https://github.com/APIDevTools/swagger-cli
[1]. https://cuelang.org/
EDIT: formating
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Show HN: Workout Tracker – self-hosted, single binary web application
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/
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Apple releases Pkl – onfiguration as code language
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
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Why the fuck are we templating YAML? (2019)
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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10 Ways for Kubernetes Declarative Configuration Management
CUE: The core problem CUE solves is "type checking", which is mainly used in configuration constraint verification scenarios and simple cloud native configuration scenarios.
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Lua is a viable alternative for JSON
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
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Writerside – a new technical writing environment from JetBrains
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.)...
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Show HN: Config-file-validator – CLI tool to validate all your config files
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.
- That's a Lot of YAML
- An INI Critique of TOML
What are some alternatives?
charts - ⚠️(OBSOLETE) Curated applications for Kubernetes
dhall-lang - Maintainable configuration files
prometheus-operator - Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
jsonnet - Jsonnet - The data templating language
helm-charts - Prometheus community Helm charts
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.
prometheus - The Prometheus monitoring system and time series database.
starlark-rust - A Rust implementation of the Starlark language
octoDNS - Tools for managing DNS across multiple providers
Protobuf - Protocol Buffers - Google's data interchange format
jrsonnet - Rust implementation of Jsonnet language
jsonnet-libs - Grafana Labs' Jsonnet libraries