Universal-Kubernetes-Helm-Charts
aws-helm-multi-deploy
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Universal-Kubernetes-Helm-Charts | aws-helm-multi-deploy | |
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20 days ago | almost 2 years ago | |
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Universal-Kubernetes-Helm-Charts
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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?
You may want to check out some other of my Helm Boilerplates to explain and highlight how using subcharts works. This is a companion repo to my upcoming DevOps + Kubernetes book. You also might like to check out my set of open-source universal helm charts which are published in a helm registry right now that you can leverage and has many industry best-practices built into it, such as anti-affinity rules, pod disruption budgets, horizontal pod autoscaling, ingress, service support, etc.
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How do you guys on Mac M1's get around the annoying port forwarding issues with k8s + docker?
References: I use docker and Kubernetes daily. I currently manage numerous clusters and maintain pipelines for hundreds of microservices as I type this. I've been converting microservices into Docker images for companies hundreds if not thousands of times by now over the last bunches of years. I am also an avid and passionate open-source evangelist and Kubernetes/DevOps consultant. I author some Kubernetes controllers such as the Volume Autoscaler and have a set of Open Source Helm Charts and I love to contribute code/fixes wherever I run into issues.
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StatelessSet Resource Type ?
If it helps at all I have some universal helm charts that have a template for easily deploying your application as a deployment or statefulset. You will notice I don’t even have a daemonset chart because it doesn’t make sense to. https://github.com/DevOps-Nirvana/Universal-Kubernetes-Helm-Charts
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Helm makes it overly complex, or is it just me?
See: Open-Source Universal Helm Charts See: Boilerplates of using Open-Source Helm Charts (as a sub-chart)
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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
A open-source set of Universal Helm Charts with tons of best-practices baked into it such as autoscaling, PDBs, labeling, and an standardized set of "universal" templates that allows you to pivot between templates easily (meaning, you can easily make a deployment into a Statefulset or a Cronjob). Yes, I need to add more documentation, I know. I'm busy :P
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Creating Kubernetes Templates
Universal Kubernetes Helm Charts
aws-helm-multi-deploy
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Best way of managing Helm?
To help you deploy these, your CI/CD framework or tooling needs to run helm dependencies update before it does a helm diff/update. Here's an Github Action which does this in an opinionated fashion
- How do you guys manage your deployment pipelines?
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Kubernetes vs Serverless
I think you're talking about two different things. I personally recommend hard boundaries of what your tools do. For IaC, do IaC. For services, use CI/CD. So, for all my clients, I stand up infrastructures with Terraform except for EKS, which I use EKSCTL. These tools are run very rarely, only when you need to adjust/alter/upgrade your infrastructure, but NOT your services. After Kubernetes is stood up though, managing it with Terraform is terrible. Simply use Helm via your CI/CD toolchain. Here's an Github Action my team engineered to deploy via helm recursively easily: https://github.com/DevOps-Nirvana/aws-helm-multi-deploy
What are some alternatives?
Helm-Chart-Boilerplates - Example implementations of the universal helm charts
charts - TrueNAS SCALE Apps Catalogs & Charts
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
eksctl - The official CLI for Amazon EKS
helm-promotion-sample-app - Sample application that is promoted from QA to Staging to Production
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
sparrowci_web - ci.sparrowhub.io website
helm-charts - A collection of Helm charts
uptime-kuma-helm - This Helm Chart installs Uptime-Kuma from @louislam to your Kubernetes Cluster.
prometheus - The Prometheus monitoring system and time series database.
SparrowCI - SparrowCI - super fun and flexible CI system with many programming languages support