helm-charts
Helm-Chart-Boilerplates
helm-charts | Helm-Chart-Boilerplates | |
---|---|---|
5 | 12 | |
66 | 8 | |
- | - | |
5.4 | 0.0 | |
2 months ago | over 1 year ago | |
Smarty | Makefile | |
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.
helm-charts
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Podman Desktop 1.6 released: Even more Kubernetes and Containers features
There's a number or solutions. One is to use a maintained Helm Library Chart that exposes all the values most could ever want like The Helmet [1]. The other is to move over to something like Timoni that is analogous to Helm but with better templating [2].
[1] https://github.com/companyinfo/helm-charts/tree/main/charts/...
[2] https://timoni.sh/comparison/
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"helm crearte" command for bitnami charts/common Library?
Try Helmet
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Alternatives to Helm?
My alternative to Helm is more effective use of Helm. I learned about the Helmet library chart a few weeks ago: https://github.com/companyinfo/helm-charts/tree/main/charts/helmet
- Kubernetes: converting terraform deployments and resources to something better, like helm?
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The Helmet is a Helm Library Chart that defines many chart templates like Deployment, Service, Ingress, etc which can used in other application charts.
The Helmet library was created because we saw many charts requiring only a few select configuration options in their Helm charts.
Helm-Chart-Boilerplates
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Dedpulication standards of Helm Charts values file for a global chart with subcharts for our app. What's the right way to only need to specify a value once?
I would point you to what I call the "Universal Helm Charts" and some examples of how to use them.
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Monitoring many cluster k8s
Shameless Plug: Here's one of my dashboards I made for Ingress-Nginx, which is my recommended border router/gateway into all the services. It adds deep robust metrics and configurability, and if you've got years of experience with Nginx also, it allows you rich complex customization via nginx's configuration structure via kubernetes annotations. Besides that I have open-source helm charts which are easy to use, boilerplates showing how to use them, a volume autoscaler to automatically resize your disks as they get full, and a blog where I share various of my experience which is a companion blog to my upcoming book of the same name. Hope this helps! Feel free to ask if you have any further questions.
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Best way of managing Helm?
Here is an example of a repo that uses an sub-chart: https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-apache-with-configmap-template/deployment
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Helm makes it overly complex, or is it just me?
Use multi-values files with helm ALWAYS. Allowing an env-specific overlay to tweak your default values files. See: https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-echoserver/deployment/boilerplate-echoserver
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The Helmet is a Helm Library Chart that defines many chart templates like Deployment, Service, Ingress, etc which can used in other application charts.
Helm charts - https://github.com/DevOps-Nirvana/Universal-Kubernetes-Helm-Charts Example using helm charts as sub charts - https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-echoserver
- How do you guys manage your deployment pipelines?
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Monthly 'Shameless Self Promotion' thread - 2023/01
Helm Chart Boilerplates are examples of usage of the above Universal Helm Charts to help people understand how to use them more, a stop-gap until I add more documentation
- Deploying with Helm - extra manifests?
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Creating Kubernetes Templates
Helm Chart Usage Boilerplates (Examples of using these helm chart)
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Use Kubernetes to load test my product.
To help you on deploying your service, I've created open source generic/universal Helm Charts to make it easy to do the above. Here are the Universal Helm Charts and here's some boilerplate examples of using them. These built-in have support for HPAs, services, ingresses, etc, making it as easy as autoscaling.enable: true I haven't gotten around to documenting the helm charts yet, but there's lots of comments in the values.yaml file explaining everything.
What are some alternatives?
litmus-helm - Helm Charts for the Litmus Chaos Operator & CRDs
Universal-Kubernetes-Helm-Charts - Some universal helm charts used for deploying services onto Kubernetes. All-in-one best-practices
charts - The User-Community Airflow Helm Chart is the standard way to deploy Apache Airflow on Kubernetes with Helm. Originally created in 2017, it has since helped thousands of companies create production-ready deployments of Airflow on Kubernetes.
argocd-autopilot - Argo-CD Autopilot
kluctl - The missing glue to put together large Kubernetes deployments, composed of multiple smaller parts (Helm/Kustomize/...) in a manageable and unified way.
helm-charts - A collection of Helm charts
helmfile - Declaratively deploy your Kubernetes manifests, Kustomize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD.
ark-server-charts - A helm chart for an ARK Survival Evolved Cluster
Kubernetes-Volume-Autoscaler - Autoscaling volumes for Kubernetes (with the help of Prometheus)
clearml-helm-charts - Helm chart repository for the new unified way to deploy ClearML on Kubernetes. ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
eksctl - The official CLI for Amazon EKS