grafonnet-lib
kind
grafonnet-lib | kind | |
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4 | 182 | |
1,078 | 12,797 | |
- | 1.0% | |
0.0 | 8.9 | |
10 months ago | 1 day ago | |
Jsonnet | Go | |
Apache License 2.0 | Apache License 2.0 |
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grafonnet-lib
- OpenObserve: Elasticsearch/Datadog alternative in Rust.. 140x lower storage cost
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Jsonnet – The Data Templating Language
I honestly... don't know. I have been using Jsonnet to programatically generate Grafana dashboards, because AFAIK the only official library to generate them is written in Jsonnet [1].
In my experience, it works, but it doesn't really give me any distinct advantage. Maybe for things that look almost like JSON it'd be helpful, but the moment you start dealing with more complex generations you start finding lack of typing, lack of IDE support, lack of easy debugging, etc, fairly problematic. For example, something I really dislike is that due to how the expressions are evaluated, the only way to add debug/trace statements is to use them to "transform" a value you're going to use, if you don't use the result of the trace in the final output, the trace does not appear.
1: https://github.com/grafana/grafonnet-lib
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Grafana multi-tenant configuration with Terraform
Jsonnet
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Scripting Libraries for Grafana
I recently started working with Grafana for my bachelor thesis. I want to evaluate scripting libraries like grafonnet to create dashboards.
kind
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How to distribute workloads using Open Cluster Management
To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.
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Exploring OpenShift with CRC
Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.
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K3s Traefik Ingress - configured for your homelab!
I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.
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Mykube - simple cli for single node K8S creatiom
Features compared to https://kind.sigs.k8s.io/
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Hacking in kind (Kubernetes in Docker)
Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.
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Choosing the Next Step: Docker Swarm or Kubernetes After Mastering Docker?
Check out KinD
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K3s – Lightweight Kubernetes
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
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Two approaches to make your APIs more secure
We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.
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observing logs from Kubernetes pods without headaches
yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch
What are some alternatives?
grafanalib - Python library for building Grafana dashboards
minikube - Run Kubernetes locally
jsonnet-libs - Grafana Labs' Jsonnet libraries
k3d - Little helper to run CNCF's k3s in Docker
grafana-dash-gen - grafana dash dash dash gen
lima - Linux virtual machines, with a focus on running containers
grabana - User-friendly Go library for building Grafana dashboards
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
ansible-grafana - Platform for analytics and monitoring
colima - Container runtimes on macOS (and Linux) with minimal setup
grafana - Development repository for the grafana cookbook
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...