Helm-Chart-Boilerplates
playwright-testing
Helm-Chart-Boilerplates | playwright-testing | |
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12 | 1 | |
8 | 1 | |
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0.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Makefile | TypeScript | |
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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.
playwright-testing
What are some alternatives?
Universal-Kubernetes-Helm-Charts - Some universal helm charts used for deploying services onto Kubernetes. All-in-one best-practices
Chalice-PynamoDB-Docker-Starter-Kit - A starter kit with some boilerplate code for getting started making low-cost serverless applications in Python on AWS with a great local development setup via Docker Compose
argocd-autopilot - Argo-CD Autopilot
win2s3 - Windows to S3 Backup, Restore, Point in Time, and File Permissions
helm-charts - A collection of Helm charts
dyrectorio - dyrector.io is a self-hosted continuous delivery & deployment platform with version management.
helmfile - Declaratively deploy your Kubernetes manifests, Kustomize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD.
pg_auto_failover_swarm - pg_auto_failover_swarm
Kubernetes-Volume-Autoscaler - Autoscaling volumes for Kubernetes (with the help of Prometheus)
unleash - Open-source feature management solution built for developers.
eksctl - The official CLI for Amazon EKS
kube-reqsizer - A Kubernetes controller for automatically optimizing pod requests based on their continuous usage. VPA alternative that can work with HPA.